This PDF file contains the front matter associated with SPIE Proceedings Volume 12340 including the Title Page, Copyright information, Table of Contents, and Conference Committee Page.

As a part of stock, safety stock reduces the possibility of stock shortage and the cost of stock shortage, but the unreasonable setting of safety stock will increase the cost. This paper takes safety stock as the research object, introduces the financial field MI-TVP-SV-VAR model to construct safety stock index, and verifies the feasibility and effectiveness of the index through an example. The research results show that the construction of safety stock index can scientifically guide enterprises to set up safety stock, product production and resource allocation and investment, and help enterprises to make rapid response to market changes.

Integrated data and analytics (D&A) systems are recognized for their ability to help companies ensure they have the right people, technology, and processes in place to manage, operate, use, and protect data resources. It is critical for port companies to develop the right strategy to refine the architecture of their D&A systems and integrate their data resources.In this study, system dynamics simulation, and principal component analysis are used to help seaport companies improve D&A systems and maintain their competitiveness in the future. First, starting from the three key parts of personnel, technology, and process, a 3zy comprehensive evaluation model is developed to evaluate the maturity of the D&A system. Second, we use Vensim to conduct simulations and build a seaport system dynamics model. Then, analyze the causal relationship between various influencing factors, and explore the influence of various factors on the port. Third, through the principal component analysis method, clustering multiple indicators to determine the overall skill level of the company and the degree of cooperation between people, technology, and processes has an important impact on the D&A system. Finally, a sensitivity analysis is carried out to calculate the degree of influence on the analysis indicators when the uncertain factors change. The conclusions obtained show the scalability of the D&A system maturity model in other ports and industries.

Puzzle-Based Storage system (PBS) is an innovative type of high-density Automated Storage/Retrieval System (AS/RS), which is made up of massive adjacent square cells (moveable shelves) arranged in a rectangular grid to allow stored unit-loads to be accessible individually. Previous research mainly focused on reducing retrieval time, designing retrieval algorithms, and improving retrieval performance. Since the lack of research on the impact of the number of unit-load moves from the perspective of escort distribution, this study proposes three escort distribution strategies when retrieving the unit-load in the PBS. Furthermore, the research analyzes the relationship between the number of escorts and the density and conducts simulation experiments in PBS systems of different scales as well. Simulation results show that the increase in the number of escorts would no longer affect the number of movements when the PBS density reached 40%-50%. In summary, the retrieve unit-loads require the minimum number of movements in diagonal distribution, while random distribution is superior to the arrangements in the first line.

Warehousing, as the basic link between the supply and demand side, plays a very important role in logistics activities. It is pointed out in the Logistics Warehouse Industry Blue Book that in the future, investment in high-end warehousing facilities will continue increasing. Capital will continue being gathered in core areas and backbone nodes, and the transformation to an informatized, comprehensive, professional and automated smart warehousing will be accelerated by modern logistics warehousing. A set of modular miniload has been developed in this project, breaking through the traditional mode of the existing logistics equipment integration market. Modular, lightweight, low-cost, low-energy-consumption, easy-operating and maintaining, adaptable, intelligent as well as three-dimensional box automation warehouse logistics automation solutions are developed.

The establishment of reverse recycling channels by product retailers has effectively saved the use of resources and costs, and suppliers can also improve the production efficiency of products through investment in environmental protection. In order to study the supplier’s environmental investment and retailer’s product pricing decision in the recycling channel, a Stackelberg game model is established to study the sustainable supply chain management problem. The results show that the retailer’s increase in resource recycling channels effectively improves the consumers’ utility and reduces the consumers’ purchase price. Supplier’s investment in environmental protection has an obvious spillover effect, which increases the profit of the product retailer. However, this kind of environmental protection investment may not improve the profits of supplier itself. All members of the supply chain should cooperate in environmental protection investment to improve the performance of the entire supply chain.

In order to improve the traditional planning method, this paper establishes traffic network design model under uncertainty theory, so as to improve the rationality of the traffic network planning scheme. This paper assumes that the traffic demand is a random variable, and then establishes a bi-level model. The upper model takes the sum of the total travel time and VaR as the objective function, and the lower model uses the user equilibrium allocation model. The genetic algorithm with Monte Carlo simulation is used to solve the stochastic network optimization problem. The example analysis shows that: (1) The uncertainty of demand has a significant impact on the network construction scheme. (2) Network planning scheme will be affected by the risk attitude of the decision maker.

This paper summarizes and analyzes the typical architecture and evolution of fault prediction and health management technology. We introduce and analyze fault detection, fault diagnosis, and fault prediction functions to explore the architecture of fault prediction and health management systems. This experiment studies the fault prediction method based on solder joint-built in self-test (SJ-BIST). According to the actual monitoring circuit experiments, we adjusted the temperature of the circuit board to 50℃, 100℃, and 150℃ for the circuit board heating treatment for 10 seconds, verified the effectiveness of the SJ-BIST method, and are in line with the law of linear change. The slope of the fitted curve is consistent with the analysis result.

Taking the Chongqing via Chishui to Xuyong (Sichuan border) expressway project as an example, this paper focus on predicting trip generation, trip distribution, and trip assignment through a four-step model based on motor vehicle Origin-Destination surveys. The location of the project is rich in tourism resources. The construction of this project will promote the development of surrounding tourism resources and generate a large amount of tourism traffic. So, special consideration is given to the characteristics of tourism traffic in the project. The paper obtains the traffic volumes of the Chongqing via Chishui to Xuyong (Sichuan border) expressway.

In view of the low efficiency of tunnel fire rescue, the difficulty of operation and the difficulty of determining the kindling point, a real-time monitoring system based on multi-sensor devices for smoke, temperature and video is designed based on the restricted fire development law in tunnel and the smoke movement process. Then the target tunnel is modeled and the fire monitoring conditions under different combustion conditions inside the tunnel are simulated using FDS software. Finally, the situation evaluation of tunnel fire is given by analyzing the temperature, toxic gas concentration and the distribution and development law of fire smoke inside the tunnel monitoring system.

New energy vehicles play a pivotal role in the realization of carbon peak and carbon neutrality. The prediction of the ownership of new energy vehicles is of great significance to realize the goal of environmental protection in transportation field. The fluctuations of new energy vehicle ownership data follow a long-term nonlinear trend influenced by complex impact factors where nonlinear relationships are in between. Therefore, it is important to use reasonable and accurate methods to analyze and forecast the new energy vehicle ownership to facilitate the rational formulation of policies. In order to study the change of vehicle ownership under the influence of multiple factors such as GDP, urbanization rate and highway mileage, the method of combining principal component factor analysis and logistic nonlinear model is adopted. The result shows that the nonlinear logistic regression curve obtained has a higher fitting degree with the actual data. According to the industry planning, the number of new energy vehicles in 2035 is about 156 million.

The latest development trend of train control system is to realize autonomous control of trains through vehicle-ground and vehicle-vehicle wireless communication. In this paper, we propose a scheme to manage the communication information of the train, which is suitable for the onboard-centered train control system. This scheme explains the parts that the train and ground equipment are responsible for in the process of managing the train's communication information, and how they work in each scenario by describing their message interaction flow. The features of the scheme are distributed management and data self-recovery after equipment failure. Then, a time automaton model is established with the train communication information management process in the train registration scenario as the object, and the function of the scheme is verified by the UPPAAL tool. The verification results show that the designed scheme can complete the train communication information management function when the equipment works normally, or a single ground equipment fails.

To avoid the efficiency reduction of transit signal priority (TSP) control caused by inaccurate prediction of bus travel time, a time varying adaptive Kalman filter model is proposed in this paper. To present the transit speed fluctuation characteristics caused by various traffic factors, a model to calculate the dynamic factor is built based on weighted moving average time series method. With the introduction of dynamic factor, a time-varying adaptive Kalman filter model is established to predict bus travel time. This model is compared with other classical ones in experiment. The results show that the mean absolute percentage error (MAPE) of prediction is 2.52%, which is better than the basic Kalman filter model and time series model. Therefore, this method could not only consider the transit speed fluctuation but also significantly eliminate the detection deviation, which contributes to accurate prediction of bus travel time in transit signal priority control.

COVID-19 is highly efficient for port operation, and it is crucial to improve the port epidemic's emergency prevention and control capability. Therefore, according to the port operation process, the process of epidemic transmission in the port is analyzed, and the relationship map of port epidemic transmission is clarified; then, with the help of OODA theory, the OODA model of port epidemic emergency prevention and control is constructed. Through the analysis of the model operation cycle process, this paper summarizes the advantages of the model in port epidemic prevention and control. OODA port emergency prevention and control model can better improve the ability and efficiency of port epidemic emergency prevention and control.

In order to further prevent and control the traffic accidents of provincial main highways, the characteristics of time, space and causes are explored. In view of the prominent traffic safety problems of provincial trunk highways, according to the traffic accident statistics and traffic volume data of S325 provincial highway provided by a city, taking S325 provincial highway as a typical example, the spatio-temporal and cause characteristics of traffic accidents in this province are analyzed, and the traffic accident hotspots are identified by k-means clustering method. The results show that: from the time distribution characteristics, there is an obvious periodicity distribution in the time period of the province. In terms of spatial distribution characteristics, the number of traffic accidents on provincial roads is less at both ends, more in the middle, less in road sections of municipal districts, and more in road sections of township streets. According to the distribution characteristics of accident zones, the number and scale of accident spots located at intersections on provincial highways are far more than those located on road sections. From the point of view of the characteristics of the accident cause, the accident cause is highly correlated with the time and place of the accident, and the illegal behaviors causing the accident can be coordinated governance in the time and place.

This paper analyzes the achievements of the rural roads development supported by central investment policy during the period of poverty alleviation in the 13th five-year plan. On top of that, according to development ideas and priorities of the rural roads during the 14th five-year plan period, this paper studies the rural roads development strategy in transition period of realizing effective connection from consolidating and expanding the achievements of poverty alleviation to rural revitalization, recommends taking implementing authority, adjusting orientation and strengthening assessment as the main strategy. Meanwhile, this paper selects measure indicators and establishes the calculation model of replacing subsidies with awards, clarifies the assessment mechanism of "linking the results of the target assessment with the arrangement of award funds", so that to implementation of relevant strategies, as well as tracking and evaluating relevant development planning and investment policies.

Formal methods are used to improve the credibility and correctness of scenarios in Chinese Train Control Systems (CTCS). At present, there are few formal studies on the high-speed Automatic Train Operation system that developed from CTCS-3 level high-speed railway technology. In this paper, we adopt a new formal method, Alvis, which combines the advantages of high-level programming language and graphical modeling and select the interzone TSRS handover scene in high-speed railway ATO system as the research object. The messaging behaviors of the scene are analyzed using UML sequence diagrams, and an Alvis model of the system is built, which is converted into an smv model supporting the formal validation of the model checking tool nuXmv. The real-time performance of the extracted messaging was verified on demand, inconsistency between technical specifications and actual operational scenarios was identified and solution was provided. The results of this method can provide some reference for the technical promotion of ATO train control system in China.

China's shipping industry is developing rapidly, but there is a shortage of senior crew. Based on the basic data of Chinese sea-going ships, a linear weighted combination forecasting model based on regression forecasting method, quadratic exponential smoothing method, and GM (1,1) gray forecasting method was established, using average absolute deviation and residual standard deviation as indicators to evaluate the fitting accuracy of each single prediction model and combined prediction model. Although the forecast of the demand for Chinese sea-going crews from 2020 to 2029 shows a slight downward trend, some actions must be taken immediately to train more senior crews to alleviate the increasingly prominent imbalance between supply and demand.

Traffic network design is one of the core contents of traffic planning. The traditional transportation planning is based on deterministic assumptions and decision-making rules, resulting in unreasonable factors in the planning scheme. This study aims to build uncertain transport network design method with uncertainty theory. This paper assumes that the traffic supply and demand are random variables. Using the expected utility theory to consider the risk attitude of users and the deviation degree to considering the risk attitude of decision maker, a bi-level programming model is established. This paper presents a method with genetic algorithm to solve the problem, and then gives an example. The results of the Nguyen Dupuis network show that the risk attitudes of decision makers and users have an important impact on the decision-making of network design. The proposed method can effectively improve the robustness of network design.

As the main component function of ADAS, the assessment methods on AEB have been guiding OEMs to make functional improvements and the active safety capability of the vehicle has been increasing. By screening the car-to-car accident data in China, key factors such as offset situation, vehicle speed distribution and accident severity have been analyzed and counted. Subsequently, the corresponding weights have been reasonably determined. Finally, a scientific AEB car-to-car assessment method has been obtained, forming the relevant part of the C-NCAP 2021 Edition. The test method proposed in this paper can objectively and reasonably evaluate the AEB performance of vehicles.

Due to the unpredictability of influence range of the explosion accidents of the dangerous goods in the coastal port area, it is necessary to conduct quantitative safety risk assessment in the port area. Currently there is no quantitative safety risk assessment standard for the hazardous goods in the port. This paper aims to explore and propose a regional safety risk assessment method based on the regional integration characteristics of coastal port area, comprehensively analyzes the rationality of safety capacity of port area. It is of great significance in guiding the risk control and emergency disposal work for the new or the existing port area.

In the face of the shortage of crew labor in the shipping market and the rising shipping companies, it is necessary to analyze the supply and demand situation in my country to ensure that the Chinese crew can develop in the direction of the dynamic balance of supply and demand. The senior crew put forward an effective labor resource allocation plan to improve shipping talents training program. Based on the number of in-service crew members of ships of 3,000 gross tonnages and above in my country's coastal navigation areas and the number of valid certificates held by senior crew members in each position, the actual number of in-service crew members will be used for demand. With the number of crew members holding valid certificates as the supply, a linear weighted combination prediction model based on quadratic exponential smoothing method, regression prediction method, and GM (1,1) grey prediction method is established to predict the number of senior seafarers for 2020-2026. Experimental research shows that from 2020 to 2026, the supply and demand of senior seafarers in my country's coastal areas are on the rise, but the supply is in short supply. In response to the problem of unbalanced development of supply and demand, it is necessary to strengthen school-enterprise cooperation, improve the attractiveness of seafarers, and pay attention to the career development planning of seafarers.

Personnel emergency evacuation after a ship accident is the last defense to guarantee lives and properties. To understand the influence factors of the evacuation efficiency so as to develop rational evacuation schemes for different evacuation scenes, this paper builds a simulation model of double deck by Pathfinder in which four evacuation scenarios are set referring to the IMO guidelines. From the three perspectives of evacuation time, congestion degree and exit efficiency, the author compares and analyzes the evacuation situation between choosing exits under the principle of proximity and that under the guidance of an evacuation plan. The results show that the selection of exits under the guidance of evacuation plan can promote the utilization of exits, effectively reduce the congestion degree in the evacuation process, and then shorten the evacuation time. In this paper, the study of passenger ship personnel emergency evacuation can be used to identify the congestion points of the existing passenger ship geometric arrangement, optimize the ship structure design, and improve the efficiency of passenger ship personnel evacuation.

It is an important issue in the field of transportation planning to identify and detect the travel purpose of individual travelers. The mobile phone signaling data has the advantages of low collection cost, wide user coverage, and strong real-time performance in the 4G/5G networking environment. However, it is difficult to mine the travel characteristics effectively from the mobile phone signaling data with a large proportion of noise data to identify the travel purpose. This paper relies on the mobile phone signaling data of residents in Kunshan City, Jiangsu Province, China, to obtain individual travel segments, and then combines residents' travel survey data and POI data to mine individual travel information. The Bayesian network is preliminarily constructed through the constraint-based Bayesian network structure learning theory. This article takes the travel purpose as the deductive reasoning object, prunes the Bayesian network and achieves travel purpose identification. The results show that, based on the travel feature mining method proposed in this paper, the accuracy of travel purpose identification can reach 91.28% through the Bayesian network identification model.

With the increasing number of electric bicycles in cities, traffic safety is confronted with serious challenges. To prevent and control electric bicycle traffic accidents and further explore accident characteristics, this paper screens all 1555 general accident data records involving electric bicycles in Shenzhen from 2016-2021, 19 main impact factors are counted, and divided into three categories: accident information, personnel information, and road and facility information. Data mining is performed on the full accident set and each of the three single-dimensional accident sets: fatal accidents, escape accidents and accidents caused by electric bicycles. The Apriori algorithm is used to calculate and explore association rules, and the ones with better support, confidence and lift indexes are selected from them. From the association rules, this paper derives the relevant factors of electric bicycle traffic accidents, analyzes the coupling mechanism within the accidents, and provides suggestions on the countermeasures against the risk of electric bicycle traffic accidents.

With the development of society, international trade is playing an important role. Maritime transport has become the main mode of transport in international trade with its advantages of low transport price, large transport volume and low environmental pollution. However, the rapid development of maritime transport is accompanied by the risk of maritime accidents. Studies show that ship collision accident has always been the main type of maritime accidents, and ship collision caused by human factors accounts for more than 90% of the total accidents. It has become a key issue in the research field of ship navigation safety to analyze the causes of ship collision and explore the mechanism of human factors. By analyzing the ship collision accident reports, this paper summarizing the main human factors of ship collision, and through analyzing the causal chain of ship collision accident to determine the Bayesian network structure. Finally, this paper using the accident reports into the model to illustrate the effectiveness of the Bayesian network model; meanwhile, by analyzing the cause of the Bayesian network model, this paper gets most likely cause chain that cause collision accident happens, so as to providing safety management countermeasures for the crew, ship company and ship safety management department.

Land trip generation rate is an important parameter in the traffic planning field. To improve the evaluation accuracy of land trip generation rate, mobile phone signaling data is processed with an equal time interval algorithm to improve the accuracy of location information of individual users. By applying a stagnation point oscillation algorithm, hierarchical clustering analysis is conducted to extract information on individual OD chains. Based on this, the land trip generation rates under different land properties during peak hours are evaluated by space coupling and combining urban land use information databases. It can be summarized that the equal time interval algorithm and stagnation point oscillation algorithm can solve the time window problem and improve the accuracy of extracting users’ OD information. With this method, the evaluation accuracy rate of the land trip generation rate reaches 0.818, providing an effective reference for traffic planning.

The numerical prediction of ultimate collision force in ship-bridge collision accident has a great influence on the safety of pier and bridge superstructure. However, ship-bridge collision problem is a complex nonlinear dynamic problem, and the linear empirical formula in the existing domestic and foreign standards cannot reflect the numerical value of collision force. In this paper, based on the data of established finite element model, the influence factors of maximum collision force are analyzed, four factors such as the time at which the maximum collision force occurs in the collision force curve, ship speed, hull quality and a coefficient which is related to the elastic deformation coefficient of the specimen of collision block (hull) and bridge pier are selected as the input of networks. BP and RBF neural network prediction models are established to predict the ultimate collision force of ship bridge collision. Combined with the prediction results, poor prediction accuracy of BP neural network is believed to be due to the over-fitting problem. Therefore GA-BP and PSO-BP algorithms are introduced to optimize the original BP neural network, of which the relative errors are 2.38% and 2.24% respectively and prediction accuracy is higher. The results show that it is feasible to predict the ultimate collision force of ship-bridge collision by using neural networks. Especially for the over-fitting problem of BP prediction model, the prediction accuracy of PSO-BP network after solving the over-fitting problem is convincing. The research in this paper successfully proves that the prediction of ultimate collision force by neural network in ship-bridge collision field is feasible with high precision accuracy, which provides scientific guidance and reference for the engineering safety of piers and other substructures in bridge design and construction.

With the increasingly serious urban congestion problem, the government launched the concept of green transportation, and bike-sharing came into being. However, at present, less consideration is given to bike-sharing in urban planning, which leads to insufficient supply in bike-sharing during the peak period and serious accumulation after the peak period. Seriously hindered the development of slow bus integration. In order to better develop green transportation and promote the healthy and sustainability of travelers. By fusing GPS data and credit card data, this paper puts forward a bus stop derivation rule based on development of urban ground transportation system, supplements the bus stop information, and identifies the transfer behavior between bus and bike-sharing based on the transfer model. Finally, taking Beiguan North Station and Beitan Station of Jinan Beiyuan Street as examples, the influence of built environment on the transfer between public transport and bike-sharing is analyzed. The results show that the transfer volume in bike-sharing is highly positively correlated with the single functional area of residential area, commuting/general studies, leisure and entertainment, and strongly correlated with residential-other, commuting/general studies-leisure and entertainment, leisure and entertainment-other and mixed functional areas.

With the development of highway information, according to the actual demand of highway electromechanical equipment management, this paper designs a multi-protocol internet of things data acquisition system to realize instant messaging and data sharing of electromechanical equipment. The Kohonen neural network is used to train the adaptive module of the existing input protocol. According to the eigenvalues of the header, the shaping number of the end bytes and the length of a single packet of the protocol, the function of automatically selecting the appropriate protocol is realized. In the later stage, the ability to learn more protocol adaptation independently can be realized by updating the protocol knowledge base on the internet of things platform. The results show that the average processing time of Kohonen network for each protocol data is about 109ms, and the average recognition rate reaches 95.45%. Kohonen network can be applied in traffic engineering field and realize the conversion of various information data of electromechanical equipment with different protocols into unified information data through protocol conversion rules.

With the increasing diversification and individualization of consumer demand, the consumption environment of agricultural products has also changed significantly. While many agricultural products supply chains are fully engaged in traditional retail channels, they are also generally opening online sales channels, thus forming a dual-channel circulation mode of farm products in which conventional and online retail channels coexist. Due to the high overlap between the two sides in selling products and target users, the potential conflicts in the dual-channel supply chain of agricultural products have become increasingly prominent. Under the guidance of evolutionary game theory, this paper analyzes the collaborative evolution law of supply chain enterprises under the penalty mechanism. By simulating the game process of cooperation between the two parties, it is found that setting a reasonable punishment mechanism can reduce opportunistic behavior. It can not only enrich and expand the research horizon and depth of the dual-channel supply chain of agricultural products but also have important theoretical and practical significance for promoting the cooperation of the dual-channel supply chain of agricultural products, realizing the resource sharing and complementation of the two channels, and improving the benefits of the whole supply chain.

The intersection is an important node in the road network, and the traffic capacity of the intersection determines the running state of the entire road network. Congestion at an intersection will inevitably lead to a decrease in road capacity, and the congestion will spread to adjacent road sections and intersections, forming a congested area "from points to surfaces". Based on gap optimization, this paper adjusts the gap between the speed of the main road and the traffic flow and optimizes the speed of the secondary road to make it pass the intersection safely. The control method proposed in this paper is verified by VISSIM simulation, and the average value of delay and the number of vehicles stops at the traditional un-signaled intersection and the un-signaled intersection under the internet of vehicles environment are analyzed and compared. The results show that the average total delay of un-signaled intersections in the internet of vehicles environment is reduced by 62.7%, the number of parking times per vehicle is reduced by 56.89%, and the traffic capacity of un-signaled intersections is improved.

In order to reduce the risks caused by congestion to scenic spot management and tourist safety, a dynamic Bayesian network model based on K-means++ clustering is proposed to realize the prediction of tourist transfer volume between scenic spots. Firstly, the K-means++ method is used to cluster the tourist transfer volume between scenic spots, we select the best number of clustering by the elbow rule, and the grade interval is determined by clustering results. Secondly, we consider the passenger transfer volume and tourist flow as the nodes of the dynamic Bayesian network, which can estimate the probability of tourist transfer from the upstream scenic spots to the target scenic spot, and the tourist volume of the target scenic spot is predicted. Finally, the confusion matrix is used to verify the validity of the proposed model. The case study shows: 1.) The prediction accuracy of the model can reach about 96%, which indicates that the model is suitable for tourist flow prediction. 2.) Compared to ARIMA, SVR, K-means + BN, and K-means + DBN, the proposed model has better prediction accuracy. 3.) The Bayesian network model outperforms deep learning models in interpretability.

In recent years, China's railways have developed rapidly. The railway passenger transport has also emerged year after year, becoming one of the main domestic passenger transport modes. Aiming at the difficulty in finding hidden dangers and faults caused by buried cable lines, a simulation model of time domain reflection method is built to study the location of cable open-circuit fault types.

This paper mainly introduces the platform design process, namely "how to do" process. Platform design should follow the characteristics of the SaaS model software, give full consideration to platform scalable, scalability, performance and so on can be configured, multi-tenant way of implementation, introduces the function of platform architecture, design goal and thought, secondly on overall technical architecture, support technology and function of this platform. Finally, several construction and operation modes and profit modes are considered to meet the sustainable development of the platform. The design of the platform can provide high-quality information software services for small and medium-sized enterprises, and contribute to improving the efficiency and increasing economic income of the logistics industry.

The logistics industry is a comprehensive service industry integrating transportation, warehousing, freight and other industries. The development of the logistics industry provides an important support for the development of regional economy and economic transformation in China. Taking Beijing-Tianjin-Hebei (JingJinJi) as the research object, the structure of the coupling system between express logistics industry and regional economy is analyzed, and the evaluation index system of the coupling between express logistics industry and regional economy is established. Combining with the evaluation index system, the coupling and coordination relationship between JingJinJi express logistics industry and regional economy is evaluated. The results show that affected by the adjustment of industrial structure, the comprehensive development level of regional economic sub-systems in Tianjin has shown a sudden drop trend, returning to slight imbalance from the original primary coordination; And the coupling and coordinated development level of logistics industry subsystem and the regional economic subsystem in Beijing and Hebei province has experienced a leap from imbalance to coordination. On the whole, however, the level of coupling and coordination between the logistics industry and the regional economy in the Beijing-Tianjin-Hebei region is still at the middle level.

In recent years, with the progress of network technology and the development of national e-commerce, express delivery business has shown a trend of rapid growth, but the increasing consumption of express packaging, resulting in a series of resource waste and environmental pollution problems. So, in this paper, based on the understanding of the current situation of the express package recycling in China made a further study of problems of packaging recycling, mainly under the concept of green logistics development, discovered the existence of problems and puts forward relevant solving measures combining with the actual situation, the enterprise further explores on the basis of empirical express packaging recycling mode.

Emergency logistics is an essential branch of modern logistics services, and the efficiency and safety of its transport have an important impact on maintaining social order after an emergency. When considering the location of emergency logistics distribution center, the lowest transportation cost should not be the main goal, but the shortest distribution distance should be designed and planned to ensure the timeliness and reliability of emergency supplies. This paper proposes a density coefficient optimization algorithm based on the backtracking algorithm. The results show that the algorithm reduces the complex iterative process in the backtracking step and can select the most suitable distribution centre location in a specific region, which has some practical significance for solving the location selection problem.

With the rapid development of logistics industry to the intelligent logistics era of high flexibility, high coordination and high efficiency, intelligent logistics data governance and intelligent logistics technology promote each other and have an important impact on the development ecology of intelligent manufacturing. This paper first defines the development characteristics of intelligent logistics data governance and technology from the perspective of concept and technology, and clarifies the development process and evolution law of intelligent logistics data governance framework. Then draw lessons from mature enterprise cases in the industry, summarize the status quo of China's intelligent logistics data governance and technology development. Finally, suggestions and prospects for the future development of data governance and technology of intelligent logistics are put forward from the aspects of policy. The results show that the government should adhere to national unity and cooperation, lead the construction of intelligent logistics industry, promote the construction of online and offline platforms, the logistics industry should actively carry out digital transformation, improve distribution efficiency, enterprises should pay attention to the development of intelligent technology, strengthen the construction of digital talent pool. The conclusions and suggestions from these three perspectives provide reference for the development of intelligent logistics in China.

The development and progress of science and technology have promoted the upgrading of technology, and the complicated international and domestic situation has brought new challenges and opportunities to photovoltaic industry. It is an urgent need for enterprise management to coordinate upstream and downstream, link internal and external resources of the enterprise, grasp customer orders and logistics information in real time, visually display the business situation, and trace the status and abnormal situation of products online in the whole process. The establishment of intelligent logistics platform can improve enterprise logistics management efficiency, customer service satisfaction and logistics delivery quality. The photovoltaic enterprise intelligent logistics platform designed in this paper mainly builds e-commerce system, order management OMS system, warehouse management WMS system and transportation management TMS system. Enterprises make seamless integration of the four major systems through information technology, and then improve the transportation efficiency and accuracy of logistics, so that customers and internal and external management of enterprises can better feel the convenience brought by logistics. After the implementation of the system, the enterprise will establish a collection of procurement, sales, production, storage, transportation, distribution, information services and other multi-functional integrated platform, it is intelligent integration and digital. In this way, the resource utilization rate and productivity level of enterprises will be improved, so that enterprises can create more and richer social value.

In view of the problem of "high cost and difficulty to enter villages" of rural e-commerce express delivery, considering the characteristics of scattered village distribution and insufficient distribution demand, the paper creatively proposes to take the existing bus operation route of the county as the transportation medium to realize the integration of passengers and goods in the downward transportation of e-commerce express from the county to the towns and villages. Then, the existing bus routes were optimized to achieve the dual objectives of minimizing the total cost of bus downlink transportation and visiting the collection point with the minimum distance, and the basic mathematical model was established. On this basis, the improved ant colony algorithm is used to solve the problem of optimizing the rural e-commerce express downlink bus route, and it can be found that the formation of multiple new routes can reduce the downlink transportation cost of e-commerce express and achieve the goal of accessing all the collection points with the minimum delivery distance.

Based on big data computing, this paper deeply studies the work of the transportation capacity planning part of the smart logistics platform. As the core management object of the intelligent logistics platform, transportation capacity needs to be predicted, monitored and optimized from multiple dimensions such as waybill release, real-time vehicle supervision, and vehicle and cargo matching. Through the analysis of relevant needs and practical difficulties in the previous investigation and investigation of Nanchang regional logistics enterprise A, and combined with the development trend of new technologies, this paper proposes a solution of " transportation capacity collaborative intelligent logistics platform" based on big data. The construction of the platform depends to a certain extent on the final data format and usage scenarios. Therefore, this paper focuses on the establishment of relevant statistical data and portrait models for the data entities often used in the logistics process to provide support for the construction of the smart logistics platform.

When the scale of logistics network of regional logistics enterprises reaches a certain level, the competition of network must turn to fine management, otherwise the cost of operation management will increase, and the efficiency of operation will decrease. The construction of management performance-oriented evaluation system is an effective means for enterprises to carry out directional management reform to reduce cost and increase efficiency. The enterprise management performance evaluation system is constructed based on PCA-DEA model. PCA was used to reduce dimension and determine performance evaluation indexes, and DEA data envelopment analysis was used to analyze and evaluate logistics nodes and find the improvement points. Finally, the optimization strategy of reducing cost and increasing efficiency is put forward based on the point of increasing efficiency.

The current paper selected 12 indicators from four aspects to establish evaluation indicators of the level of development of green logistics in Guangdong Province. The active weights of those indicators were obtained using the Analytic Hierarchy Process (AHP), which were then objectively empowered by the relevant economic statistics of Guangdong Province from 2010 to 2019 through the Entropy Weight Method (EWM) and combined with the results of the Analytic Hierarchy Process (AHP) to obtain the comprehensive empowerment of the indicators. The primary factors influencing the developments of green logistics in Guangdong Province in the medium- and long-term were explored.

In recent years, the four- way shuttle storage system has attracted more and more attention. The study on the efficiency of inbound and outbound storage has become the key to solve the efficiency bottleneck of dense storage. In this paper, by modeling the four- way shuttle storage system, anylogic is used to simulate the inbound and outbound forms of standard elevator with chain machine and new elevator with two- way vehicles, and the efficiency is compared. It is concluded that when the dense storage reaches five floors and above, the efficiency of using the new elevator with two- way vehicles is higher, which provides a solution to solve the problem of storage congestion.

This article focuses on cold chain distribution and optimizes a courier box based on temperature retention. At the same time, the optimized express box has a series of new functions compared with the traditional incubator. To a certain extent, it solves the problem that fresh products can’t meet the temperature requirements for a long time in the end distribution, which can be used in the actual end distribution process.

With the rapid development of logistics industry, express delivery industry and takeaway industry ushered in new opportunities, and urban end distribution as an important part of logistics distribution will directly affect the efficiency of the whole distribution. In view of the current situation of multi-agent urban distribution service, fragmented distribution resources and low distribution efficiency, this paper applies the joint distribution mode to the urban “express delivery + takeaway” distribution and constructs the urban common distribution information platform. Combined with the characteristics of express delivery business and takeout business, the platform is divided into four modules: user layer, platform logic layer, access layer and database layer. Then, detailed planning and development of each module are carried out. Big data, RFID, GIS geographic services, cloud computing and other technologies are used to build a common urban distribution information platform. Through the construction of urban common distribution information platform, it provides reference for future intelligent logistics management.

Market targeting of railway freight transport in the new development stage was studied, taking the influence of the shipper's preference into consideration. Based on literature analysis and railway freight characteristics, a selection indicator system for railway freight target market is constructed. The intuitionistic fuzzy mixed average operator is used to determine the indicators’ weight. By using the utility function theory, a utility function based on five freight service attributes is established to measure shippers’ preference, then the rail freight target market selection model considering shipper's preference was constructed.

Maritime transportation of goods is the main way of international trade today, accounting for more than two thirds of the total trade. However, ship cargo transportation has the characteristics of huge transportation network, complex and diverse types of goods and many uncertain factors, and there are potential safety hazards. Once an accident occurs, it may cause serious safety accidents and cargo damage. Therefore, it is of objective and practical significance to reveal the safety risks of ship cargo transportation from a macro perspective. This paper analyzes the factors affecting the safety of ship cargo transportation from the aspects of people, goods and environment. In the aspect of human factors, this paper discusses the related role of people in the process of cargo transportation and the potential factors affecting the safety of cargo transportation. In terms of cargo factors, the nature classification of goods and the influence of packaging methods on ship transportation are introduced in detail. In terms of environmental factors, the influence of maritime traffic environment and hydrometeorology on cargo transportation is analyzed. In this paper, the related issues of ship cargo transportation safety are deeply studied, and targeted measures are put forward in order to reduce or eliminate potential risks, so as to achieve the purpose of controlling ship cargo transportation risks.

Driver fatigue is a major cause of road accidents and kills tens of thousands of people per year. Eye movement and visual features are considered to be affected by driver fatigue. In this paper, a 120min driving simulation test was designed, and the Stanford Sleepiness Scale (SSS) subjective fatigue values and eye characteristics of 16 drivers were collected. Subjective fatigue values were divided into three grades: awake, awake-fatigue and fatigue. From the perspective of visual characteristics, the differences in saccade, blink, and fixation between awake and fatigue states were analyzed. Finally, saccade, blink, fixation, and combination methods to discriminate driver fatigue were compared according to the classification accuracy. The results show that whether drivers are awake or fatigued, their fixation duration is longer than blink duration, and blink duration is longer than saccade duration. Under driver fatigue, saccade duration and fixation duration decreased significantly, while blink duration increased significantly. The classification accuracy of the proposed method in this paper is more than 80%, indicating that visual features have a certain application value in the detection of driver fatigue. The results of this study can provide some suggestions for driver fatigue prevention and control and also help to ensure traffic safety.

The port administrative department has always been highly concerned about the safety supervision of dangerous goods port enterprises, but safety supervision is under great pressure due to the weak front-line safety supervision force and uneven professional and technical abilities. Hierarchical supervision of port hazardous chemical companies is able to solve the problem of insufficient supervision force. This paper adopts a method of quantitative evaluation, proposes a method to calculate the safety risk value of an enterprise, assigns values to the safety risk factors that affect dangerous goods port enterprises, and classifies safety risk levels of enterprises, providing technical support for improving the effective supervision ability of the port administrative department.

As automated container terminals are gradually favored by domestic and foreign ports, some ports blindly invest in the construction of automated container terminals in order to improve their visibility, regardless of their own port conditions and the high cost of constructing automated container terminals, which will place a heavy burden on port operations and is not conducive to the push for terminal automation. Therefore, this paper analyzes the construction experience of Xiamen port, Qingdao port, Shanghai port and Tianjin port. In view of the factors affecting the application of container terminal automation in China, dimension reduction is obtained by principal component analysis. The key factors affecting the application of automated container terminals are analyzed, and the evaluation indexes of investment decision-making stage of automated container terminals are clarified, which can provide reference for domestic ports in the investment decision-making stage of constructing automated container terminals.

The train speed trajectory optimization (TSTO) aims at finding the optimal speed trajectory considering the safety, energy efficiency, punctuality and stopping accuracy. From the perspective of mitigating the greenhouse effect, it’s quite significant to study the TSTO problem. This paper proposed an optimization algorithm based on Reinforcement Learning (RL). Firstly, a global optimization model using RL was established. In the model, the control sequence including the control regimes and their switching points was taken as the state. The optimization objectives were taken as the reward function. The adjustment of the position of the switching points in the control sequence was taken as the decision space of the agent. Secondly, an adjustment method of the control sequence based on the deep Q-learning and embedding matrix was proposed. The training data was sampled using the experience replay. The optimal control sequence was obtained through the iterative training of the neural network. Finally, the optimization algorithm based on RL was compared with the driving strategies based on the Pontryagin’s Maximum Principle (PMP) and the field test data. The results show that the energy consumption of the proposed algorithm is reduced by 0.16% in comparison with that of the PMP, which proves that the proposed method can be applied to the multi-objective optimization of the train operation. Comparing with the field test data, the energy consumption of the optimization algorithm is reduced by 4.89%, which demonstrates that the proposed method can be used to guide the drivers to drive the freight train energy-efficiently.

In the field of railway transportation, the technical operation time standard of train is an important guarantee for efficiently managing the station and ensuring the safety of various operations. The existence of human factors or emergencies will inevitably affect the accuracy of the raw data on the spot, and then interfere with calculating the technical operation time standard of train. However, the traditional calculating process do not take this problem into account. Therefore, the paper proposes a new process to analyze the technical operation time standard of train. Firstly, the weakening buffer algorithm based on grey theory is used to stabilize the raw data series with large fluctuation. It can effectively reduce the detrimental effect of stochastic volatility in the raw data before determining the technical operation time standard. Then, the paper uses the CRITIC method to analyze the information value of each group of raw data. Therefore, the weights of corresponding parameters during the calculation can be determined. In this way, the rationality of calculating the technical operation time standard can be improved. Finally, taken the Guangzhou Railway Station as an example, the paper describes the process of analyzing technical operation time standard proposed. Through the comparison and analysis of results, the validity of new process is verified.

With the development of green transportation, many effective measures have been proposed in the waterway transport system. In order to save navigation costs and reduce carbon emissions under the emission control area (ECA) policy, this paper first establishes a mixed integer linear programming model to optimize the speed of the liner ship inside and outside the ECA; then a liner route is taken as an example to verify the model; finally, the speed optimization effect of the model under different fuel prices and carbon emission tax rates is analyzed through experiments. The results show that the proposed model can save voyage costs under the ECA policy and different carbon emission tax levels.

Under the background of the continuous progress of 5G, big data, Internet and other technologies, the construction of smart port is the future development trend of the port industry. How to effectively measure the smart development level of port is the key problem to be solved in the research. According to the influencing factors of smart port development, this paper establishes an evaluation index system of smart port development level from six indicators and uses entropy weight TOPSIS method as a comprehensive evaluation method. Shanghai Port is selected as the research object for in-depth empirical research to evaluate and analyze the development level of smart port. In terms of results, the smart development level of Shanghai Port generally shows an upward trend, which has experienced three stages: slow improvement, rapid improvement and small decline. Among them, innovation capacity has the greatest impact on the development level of smart port. The evaluation results of this paper can provide some ideas for the future smart development of the port.

The logistics industry plays an indispensable role in our lives. But most logistics companies have the phenomenon of high logistics costs, which greatly limits the sustainable development of enterprises. For this reason, reducing logistics costs has become one of the immediate problems. As a heart of the system, transportation, particularly trunk logistics, plays an important role in coordinating and promoting regional economic development. The establishment of a reasonable transport network to reduce the logistics costs of enterprises to a large extent and can help enterprises to improve economic efficiency and service level. Taking Jingdong as an example, this paper combines the relevant theories of minimum cost and maximum flow into practical application. It is solved by MATLAB software. Analyze and optimize the transportation network to realize transportation standardization.

Complex network theory and topology analysis have been gradually applied in land transportation network research. However, the research on oil and gas storage and transportation in the port area is still blank. Based on the analysis of the operation process of the oil and gas storage and transportation system in the port area, this paper establishes the topological network structure of the oil and gas storage and transportation system for the first time. Through the analysis and calculation of parameters such as node degree, shortest path, and betweenness of nodes in this network, the key node analysis of the oil and gas storage and transportation system is realized.

During the Covid-19 global pandemic, exposure to cold cargo surfaces contaminated with Covid-19 was first identified as a potential cause of infection. Given that the epidemic situation in China is basically stable, epidemic prevention and control of cold chain cargo handling operations in Chinese ports is one of the key points for the country. It is concluded that the main risk link that may cause the spread of the epidemic is the unpacking of cold chain cargo containers by analyzing the process and characteristics of port cold chain cargo handling. In order to prevent imported epidemics from abroad, Chinese ports have taken countermeasures such as virus detection and sterilization. At present, nucleic acid detection measures have been adopted for the virus detection on the surface of goods, but the sampling quantity and method are lack of unified regulations, and the detection takes a long time. The mobile cabin PCR laboratories are used in some areas to improve the timeliness, and the virus detection on the surface of goods needs more sensitive and rapid detection technology. In the process of comprehensive preventive disinfection of goods, it was found that the disinfection efficiency of common disinfectants in low-temperature environment was greatly reduced, and a variety of new low-temperature disinfectants were rapidly developed. The disinfection technology based on deep UV LED, UV catalysis, nuclear radiation and other physical technologies have brought a new revolution to the disinfection of the new coronavirus on the surface of low-temperature objects. Due to the global pandemic of novel coronavirus and its continuous variation, technical measures for epidemic prevention and control have developed rapidly. From the prevention and control experience of Chinese ports in combating the epidemic, epidemic prevention and control is a systematic project, which requires the combination of various technical measures and close cooperation of multiple links.

With the continuous advancement of intelligent construction of logistics engineering, the customer demand of logistics market is gradually diversified. UAV logistics transportation is facing problems such as information fragmentation, decentralized and independent operation of subsystems and so on. In order to solve this problem, this paper combines a number of technologies such as serial wireless communication, remote sensing and internet development. It also integrates multi-source data such as human, machine, road, management and control, expounds the overall architecture, core architecture, key technologies and functional design architecture of the system according to the framework of data fusion decision analysis management and control, and adopts genetic algorithm to optimize the route planning of logistics and transportation in order to build an integrated app operation platform for UAV management and control, realize the accurate control and information management of UAV logistics transportation, and verify the feasibility of the system through the preliminary design of logistics transportation in Anning District, Lanzhou. The experimental results show that the remote communication data in the process of UAV transportation is stable and accurate, and the application of flight route planning results is good, which plays a great role in promoting the improvement of logistics efficiency.

The construction of special railway line connected the port is an important part to get through the "last mile" and realize the seamless and efficient operation of intermodal transport. However, the quantity, layout and function of the construction of special railway lines in China are still cannot meet the needs of efficient collection and distribution of cargo in the port. Therefore, using theoretical and case analysis, this study focuses on the improvement of the overall efficiency of the intermodal transport network, and proposes the construction and operation schemes of intermodal hub facilities, in consideration of the layout of railway in the port, the function of special railway lines in the port and the layout scheme of railway station in marshalling yard of port.

In the present work, the current situations of roll-on/roll-off (ro-ro) shipping in Bohai Bay are analyzed, including the freight volume, types of cargoes, and vessels. Besides that, the governmental safety management policy and enterprise safety control measure for ro-ro transportation are studied, and a case study is made on typical ro-ro transportation accidents happened in Bohai Bay. As a result, the overall safety situation and the safety management condition of ro-ro transportation in Bohai Bay are illustrated. On this basis, targeted suggestions are concluded to improve the ro-ro transportation safety management in the future.

Unmanned Aerial Vehicle (UAV) swarm surveillance has many advantages: flexible deployment, no casualties, high swarm survival rate, and high cost-effectiveness. It has become a force that we cannot ignore on the battlefield. As the key technology to ensure the survival rate of UAV swarms and improve detection efficiency, mission planning technology is the basis for realizing the autonomous detection of UAV swarms in the future. This paper introduces the method of UAV distributed mission planning. The mainstream UAV planning methods are discussed. We focus on the improved artificial potential field (IAPF) approach. The modeling method of discrete rasterization of task space is adopted in complex scenes of multiple target types. Compared with the simulation results of hybrid artificial potential field and ant colony optimization (HAPF-ACO), the superiority of the proposed method in search performance is verified.

Owing to the accelerating urbanization process, the contribution of logistics development to regional economic growth is all the more significant in Gansu Province. Regional logistics is a significant booster for the development of regional economic integration. Therefore, in-depth discussion of the relevance between logistics industry and regional economy in Gansu Province, and quantitative analysis of the contribution of logistics to economic growth, are particularly important for enhancing Gansu's economic strength. Firstly, based on the situation analysis of logistics and economic growth in Gansu, this paper quantitatively selects five logistics indicators, including freight volume, cargo turnover, logistics mileage, logistics added value and the number of logistics employees, and one typical economic indicators GDP. Then, with the help of econometric theory and eviews10 software, the stationarity test and cointegration test of the selected indicators are carried out, which points out that there is a long-term equilibrium relationship between various logistics indicators and economic indicators. And the Logistic model is further constructed to measure the contribution of freight volume to GDP. Eventually, reasonable suggestions such as strengthening logistics infrastructure construction and investment are put forward according to the calculation results.

As an important part of the bogie, the health of the rotating parts of urban rail vehicles directly determines the safety of vehicle operation. The traditional manual train inspection method can only judge whether there is a fault through the appearance state, which is time-consuming. This paper, for the starter, puts forward a scheme- that is to install trackside thermal imager in the return reservoir area to cover vehicle rotating parts, and to complete the screening gearbox, based on YoLo-v4 deep learning frame; for the second, a train inspection quality evaluation algorithm based on temperature is also proposed, effectively extracting fault features and evaluate the working condition of components.

With the in-depth study of underground logistics system, the design and application of its transportation tools have become the key. This paper will discuss the innovative application of intelligent equipment -shuttle vehicle in the underground logistics system, construct the three-level network and operation platform of the underground logistics system, and study the new mode of underground logistics system based on shuttle vehicle, so as to play a driving role in the research of underground logistics.

Against the background of increasingly fierce competition in international shipping, liner companies have formed alliances in order to reduce operating costs, achieve economies of scale, and enhance the competitiveness of liner companies and their right to speak in negotiations. In order to have a deeper understanding of the alliance choices of liner companies, a dynamic game model is established based on the consideration of customer valuation information sharing and price competition, and a Nash equilibrium is applied to find out the optimal price decision of liner companies and calculate the company's revenue under the full liner alliance to explore the possibility of liner companies reaching full liner alliance.

In recent years, China State Railway Group Co., Ltd. has issued policies to vigorously encourage the development of RAIL-SEA EXPRESS RS to enhance the supply capacity of freight products and achieve seamless connection between different transportation methods. The product service network is the basic prerequisites and conditions for the efficient operation of logistics activities. In order to accommodate growing demand for rail-sea multimodal transportation and provide customers with better logistics services. China State Railway Group Co., Ltd. need to scientifically plan the RAIL-SEA EXPRESS RS network. This paper uses the research method of intelligent logistics to design assembly points of RAIL-SEA EXPRESS RS. First of all, this paper sorts out the operation of RAIL-SEA EXPRESS RS and build a railway topology network. After that, this paper designs three evaluation indicators. These indicators are network connectivity level, economic development level, RAIL-SEA EXPRESS RS development level. Finally, this paper uses TOPSIS method to calculate the comprehensive score of each candidate city and analyzes their respective radiation range. After using research method of intelligent logistics, this paper selects out 12 first-level source assembly points and 16 second-level source assembly points.

This paper summarizes the current situation of highway overload management, analyzes the main problems faced by overload through field investigation and interview data, and designs the interview survey outline and freight vehicle travel questionnaire. According to the correlation analysis of the questionnaire results, the main reasons for the formation of overload transportation are found out, which provides further help for China's highway overload management.

Today's transportation industry is developing rapidly, and the demand for urban transportation is also rising. However, there are problems such as a low timeliness and intra-city delivery, and goods often arrive every other day; urban buses have more transportation capacity, while the empty car rate is high. Bus small parcel express is a passenger transport enterprise in which passenger station extension service like the residual capacity of passenger shuttle bus transportation is used to transport entrusted small items to passenger terminals and the destinations, which are finally delivered to the recipients. It can effectively solve problems including the waste of transportation and the low timeliness of transportation. An intelligent transportation system is proposed for urban buses and cross-city passenger transport in this paper, in which buses only need to stop at the prescribed parking positions to achieve automatic handling of goods, thus improving the satisfaction of logistics transport parties, customers and bus passenger transport companies.

As a key technology for intelligent vehicles, autonomous valet parking is becoming increasingly popular in the area of research. Autonomous valet parking technology is available for safe and quick parking operations without a driver, and improving the driving convenience while greatly reducing the probability of parking accidents. A path planning method of autonomous valet parking in parking lots mixed traffic scenarios is proposed in this paper to resolve the following issues presented in the existing autonomous valet parking systems, that is, low efficiency of global path planning and low success rates of local obstacle avoidance. First, the parking lot traffic scenario model is established and analyzed. Secondly, a global path planning method based on Floyd algorithm is proposed and optimized. Then, the obstacle avoidance path is decoupled laterally and longitudinally based on the fifth-order polynomial in the Frenet coordinate system, and the optimal local path is screened out through the coupling loss function and defined constraints. Finally, a simulation scenario was built to verify the path planning method studied in this article. The results show that the autonomous valet parking path planning method studied in this paper can achieve good results and has strong robustness.

China's railway development coincides with the comprehensive deepening reform. In order to promote the smooth completion of construction projects by adopting the best financing scheme, aiming at the technical problems that the financing scheme of railway construction projects is difficult to determine, on the basis of constructing the evaluation index system of project financing scheme, and based on the improved analytic hierarchy process and fuzzy comprehensive evaluation method, the evaluation index weights are determined from the angles of financing structure, financing cost, financing risk, profitability and viability. Then, the comprehensive evaluation of the financing scheme of railway construction project is carried out, and the effectiveness of the proposed method is verified by taking the Shanghai-Jiaxing-Ningbo railway project as an example. Combined with the evaluation results, relevant suggestions that are beneficial to the smooth implementation of the project are put forward. The results show that the proposed method can effectively evaluate the financing scheme of railway construction projects, and the corresponding research results can provide reference for the investment and financing of railway construction projects.

Asphalt pavement is widely used in airports in China. Airport pavement under the long-term action of aircraft load and environmental load which makes various problems such as structural damage and performance degradation. As a preventive maintenance measure, the fog seal has timeliness. There is the best period for fog seal and the maintenance performance will be brought into full play. There is no specification of fog seal used in airport. Since many conventional performance evaluation indexes (PCI, etc.) of airport pavement without obvious change during use fog seal. This paper proposed a single pavement performance index to determine the appropriate use time of fog seal from the aspects of pavement service life, pavement relaxation, texture depth and water permeability coefficient. And the appropriate ranges of different indexes are studied according to the treatment purpose of fog seal. The research provides decision basis for airport pavement management department to carry out preventive maintenance.

With the high attention to the safety of rail transit operation, the rail driver as the main body of the rail transit system, the driver has a crucial impact on the safety of operation. In order to study the influencing factors of illegal driving of rail drivers, 301 rail drivers in a city subway company in China were investigated by questionnaire. And the use of SPSS 25.0 data analysis software for the driver's age, driving age and other basic situation descriptive analysis and correlation analysis, to explore the relationship between human biological rhythm theory and the driver 's illegal driving, to determine the scope of the critical day of serious illegal driving, is conducive to the scientific arrangement of the driver 's driving work, provides a reference for the safe operation of rail transit.

In recent years, the process of expressway construction has been accelerating, and operators need to carry out daily maintenance of the expressway. At the same time, expressway belongs to fast driving space. High speed driving will create a blind area of vision for operators, seriously threaten the life safety of maintenance operators, and cause great damage to the life and property safety of road maintenance personnel, maintenance operators and drivers. Based on this, the team designed and developed an active safety warning robot and intelligent road cone for accompanying maintenance operation. The robot body integrates a number of technical equipment such as visible light camera, audible and visual alarm and collision early warning radar. The robot can not only push the early warning information, but also accept the collapse signal of intelligent road cone and push the multi-sensory early warning signal. The intelligent road cone is equipped with RFID chip and balance sensor, which can push the early warning signal according to the collapse. The early warning system can effectively solve the early warning problems for the safety of operators and social vehicles when out of control vehicles break into the maintenance area in the process of expressway maintenance.

Highway construction activities lead to higher carbon emissions and cause climate warming. Therefore, highway construction projects are the key emission reduction in China according to the "double carbon" target. This paper adopts the "bottom-up" measurement method and divides the project into item project, division project and unit project for carbon emission measurement and analysis. A carbon emission database based on MySQL is built to integrate the project quantity quota and carbon emission factors of highway projects. A carbon emission measurement system is developed by MATLAB to intelligently realize the carbon emission measurement and analysis of highway projects. The case analysis shows that the carbon emission measurement system proposed in this paper can better reflect the carbon emission data during the construction period and provide data support for energy saving and emission reduction.

The rapid development of urban rail transit has greatly improved the convenience and accessibility of people's travel, but it also brings some new challenges. Passenger flow analysis is an important link in the construction of urban rail transit, and it is also the basis of various design work. The accuracy of the analysis is directly related to the construction investment, operation efficiency and economic benefits of urban rail transit. Based on the analysis of the passenger flow of urban rail transit in the suburbs, this paper expounds the passenger flow characteristics of urban rail transit in various situations.

A V-type 8-cylinder water-cooled automotive diesel engine is designed to increase the engine speed by matching the supercharging system on the basis of the same main structure, thus achieving a power increase of 22%. Based on the GT-Power software platform, a one-dimensional engine performance optimization and supercharger matching simulation model was constructed, and the predicted performance improvement of the matching supercharger system under high engine speed conditions was carried out. The diesel engine was tested and verified after the re-matching of the supercharger. The test results showed that after matching the new supercharger to the diesel engine through simulation calculations, the maximum speed of the diesel engine was increased from 2800r/min to 3300r/min, the calibrated power was increased by 22%, and the maximum torque was increased by 20%. The research results show that: supercharger matching and optimization is an effective way to improve the power of automotive diesel engines.

In order to scientifically determine the scale of parking spaces in tourist highway parking areas, a method for calculating the number of parking spaces in parking areas is established based on queuing theory. Firstly, the calculation method of actual vehicles entering the parking area is proposed, and then the influence of different parameters on parking space demand is studied by using queuing theory. The research results show that the entry rate, design hourly traffic volume coefficient, turnover rate, system loss rate and parking space occupancy rate all have an impact on parking space demand. The higher the entry rate, the greater the design hourly traffic volume coefficient, the smaller the system loss rate and the lower the parking space occupancy rate, the greater the parking space demand. The method of calculating the number of parking spaces in the parking area proposed in this paper is applied to practical projects. The application results show that this method has strong practical value and is helpful to reasonably determine the overall scale of the parking area of tourist roads and intensively use land resources.

In order to solve the problems of road congestion and environmental pollution caused by distribution vehicles, the distribution mode under urban rail transit is proposed. In view of the reasonable transformation of the stations of the existing subway lines, the train compartment and platform design are mainly studied so as to make effective use of the two time intervals of the low passenger flow period and the non-passenger-carrying time, that is, to maximize the use of transportation resources, save transportation cost, realize high-speed, high-efficiency and standardization of city logistics.

Due to the particularity of the operating environment of expressway tunnels, it is difficult to rescue and evacuate personnel when emergencies occur in tunnels, which seriously affects the safety and efficiency of tunnels and related expressways. In order to ensure the safe operation of the tunnel and explore the hidden dangers of tunnel traffic operation, a traffic flow model is used to determine the variable speed limit value with the minimum delay time as the goal and speed, density, acceleration, weather environment, and human visual factors as constraints, and use simulation software to compare the emergencies in the tunnel, reduce the discreteness of vehicle speed when no emergencies occur, reduce the delay time of vehicles in the tunnel when emergencies occur, and control the stability of vehicle speed. It shows that the construction of an intelligent control strategy for vehicle speed dynamic guidance for the safety and operation efficiency of popular vehicles in tunnel traffic can effectively improve the operation efficiency of traffic and ensure the safety of traffic in the tunnel.

A visualization method of operational status indicators considering the characteristics of the highway itself is proposed. The valid fields are extracted from the historical toll data of the toll management center to obtain the status quo OD matrix, an optimized SUE model is proposed for re-allocation of traffic, and the results of multiple model allocations are compared to arrive at the best allocation scheme with root mean square error as the evaluation index. Combined with the historical toll data from May to December 2021 in Ganan, Jiangxi Province, an example validation is conducted, and the validation results show that the method can efficiently reflect the operation status of the road network as well as the traffic composition characteristics.

In order to accurately grasp the classification characteristics of Chinese airports, scientifically and effectively support Chinese airport division and slot capacity assessment, it is urgent to conduct a systematic and scientific analysis of the classification characteristics of airports. From the perspective of the network, the concepts of airport weight value and airport SIR value are introduced by using formal concept analysis and propagation dynamics method. Combined with the characteristics of network topology, airport support resources and airport operation resources, 17 potential categorical features on airports are proposed. Taking the main coordination, auxiliary coordination and non-coordination airports currently classified in China as labels, a machine learning classification model is established by using the random forest algorithm. Finally, the classification effect is evaluated based on the accuracy of the model and the features are ranked by importance. The research shows that the classification accuracy of the random forest model has reached 95.28%, and the classification effect is significant; the airport weight value is an important factor affecting the airport category; the classification feature proposed based on the network perspective is the key to affect the airport classification, which accounts for 46.6%, the classification features based on airport operation resources are second, accounting for 28.2%, and the classification features based on security resources account for 25.2%; the proposed method provides theoretical support and reference for the scientific division of my country's airports and the promotion of airport slot capacity assessment.

With the continuous construction of expressways in China, the timely process of traffic incidents has been increasingly valued to avoid heavy traffic and secondary incidents. To timely eliminate the terrible influence of incidents, the indirect incident detection method is designed and presented based on the actual data of the segment from the Lingdian interchange to the Tangwang interchange hub of the Jinan-Guangzhou expressway in this paper. Firstly, the existing data from diverse detection systems are collected and integrated into a unified format. Then, an actual-data-based simulation experiment is achieved to offer the required information to the indirect incident detection method through VISSIM. On this basis, a series of parameters are constructed to identify the mutation of traffic operation from multi-dimension. Finally, the indirect incident detection method is trained to recognize the mutation of traffic and classify the normal scene and incident scene with LightGBM. Compared to KNN, RF, and SVM, the LightGBM has an excellent performance on incident identification, with a 98.6% accuracy, a 100% precision, an 88.9% recall, and a 94.1% F1 score.

The scale and density of highway network is an intuitive indicator to understand and analyze the development level of regional highway. In this paper, we use the density index to compare and analyze the difference in the development level of highway networks between China and the world's major transportation power countries, and we also analyze the development law of highway network scale. On this basis, combined with the future economic and social development trends, we put forward some strategies for the development of China's highway network, which can provide reference for the formulation of highway network planning and related policies.

Information interaction is an important factor affecting the application of cooperative vehicle infrastructure system (CVIS). In order to evaluate the effectiveness level of cooperative vehicle infrastructure system (CVIS) information interaction with closed field test comprehensively and objectively, the analytic hierarchy process and fuzzy theory are used to study the effectiveness level of CVIS information interaction. By analyzing the key factors that affect the effect of CVIS information interaction, an effectiveness evaluation index system for the CVIS information interaction is established. And then, the analytic hierarchy process is used to determine the weight of the influence of different factors on the result of CVIS. By constructing the membership matrix, the fuzzy evaluation model is used to evaluate the effectiveness of CIVS. Finally, the method was experimentally verified by building an CVIS test system on a closed road with a networked vehicle, on-board unit (OBU), roadside unit (RSU) and wireless communication module. The effectiveness level of CVIS information interaction was obtained. The results show that the proposed evaluation results of CVIS information interaction can help to guide the update and development of in-vehicle devices and roadside devices.

Rail corrugation is among the most difficult problems in rail irregularity control of Chongqing subway which is special for its large longitudinal slope. In this study, the length of rail corrugation along the line was investigated and analyzed, the result shows the rail corrugation is closely related to the line slope and curve radius, it increases with the decrease of curve radius, meanwhile, when the line slope exceeds 30%, the occurrence of rail corrugation increases dramatically. The difference of rail corrugation at inner and outer rail of curve section also be tested, the result indicates that length and amplitude on the inner rail are larger than that of the outer rail at curve region. In addition, the rail corrugation at horizontal and vertical composite section is more serious, lead to higher vibration and noise to the wheel-rail system of subway.

Natural disasters have a significant impact on highway traffic, and China has been slow to create special equipment for emergency response. The use of specialized equipment in the emergency disposal process is uncommon. The damage characteristics of highway traffic emergencies are described through the investigation of natural disaster situations. A framework for analysis of emergency disposal mission demands was constructed based on emergency disposal methods of typical damage characteristics and emergency disposal logic, and the emergency disposal special equipment competence demands mapping was established for the emergency disposal mission demands. For the emergency disposal mission, the dominating demand analysis technique "scenario-mission-competence" is offered. The emergency special equipment competence demand framework is built using this way by merging actual emergency requirements. The relevant specific technical indicators of equipment round important elements are proposed as an extension of the framework, which can reflect equipment need and support the modeling for equipment selection. The matching model is designed to depict the relationship between the need for special equipment and the demand for highway incident scenario disposal. The application explains how to use the method and verifies its effectiveness. The findings of this study suggest that the strategy can aid decision-making in determining equipment competency need and selecting special equipment for the disposal of highway traffic incidents.

The second line of the Beijing-Shanghai high-speed railway is planned to be completed in 2025. The opening of the second line of the Beijing-Shanghai high-speed railway will help ease the tight transportation capacity of the Beijing-Shanghai high-speed railway. This paper mainly studies the assignment of passenger flow to the Beijing-Shanghai high-speed railway and Beijing-Shanghai Second High-Speed Railway. The passenger flow is mainly generated in the cities along the Qingdao-Jinan Corridor and attracted to southern cities. Firstly, the volume of passengers in the cities along the Qingdao-Jinan Corridor is predicted according to the grey prediction method, and then the prediction results are applied to the gravity model to predict the OD passenger flow. After that, a high-speed railway network is established, and the k shortest path algorithm is used to find valid paths among each OD pair, taking travel time cost, fare and penalty cost into consideration of path impedance. The logit model is established to calculate the sharing rate of different paths, and the method of successive average is used to solve the passenger flow assignment model. Finally, this paper analyzes the impact of the fare rate level and travel time on the passenger flow assignment of the Beijing-Shanghai high-speed railway second line. The results show that when the fare rate of the Beijing-Shanghai high-speed railway second line is around 0.47, the passenger flow sharing on the high-speed rail network is basically stable.

In recent years, with the rapid growth of urban residents' travel demand, especially during rush hours, urban rail transit faces a huge challenge of serious mismatch between transportation capacity and passenger demand. To solve this problem, this paper analyzes the relationship among passenger demand, train timetables and price, tries to adjust the passenger demand distribution using a dynamic pricing strategy, and based on this, constructs a train timetable optimization model with the objective of minimizing the passengers’ waiting time at stations and designs a corresponding genetic algorithm to solve it. The practicality of the model and algorithm is verified by an example. The results of the example prove that the passenger demand during the rush hour decreases significantly based on the dynamic pricing strategy, and the optimized train timetable also adapts to the passenger demand better, effectively shortens the passenger waiting time at the station and relieves the crowded situation of the station during the rush hours.

In recent years, the civil aviation industry developed rapidly. Many airports have faced reconstruction and expansion. Non-stop construction has a negative impact on the operating efficiency and capacity. A case study of the target 4F airport is carried out to analyze the operation scheme of runway closure under the condition of non-stop construction. Analyze the impact of runway closure on the airport according to the change of airport traffic volume, runway and taxiway operation efficiency and other factors. It has guiding significance for the project. Provide reference for the airport construction and provide reference basis for the subsequent reasonable arrangement of construction sequence.

In order to study the pedestrian evacuation effect of three-dimensional ladder classroom with two different opening layouts, this paper simulates the process of pedestrian evacuation under two different opening layouts and compares the characteristics of pedestrian evacuation under two different opening layouts. The results show that when the number of people evacuated is the same, from the perspective of individual evacuation time, the evacuation time of pedestrians close to the aisle is shorter; from the perspective of the overall evacuation level, the evacuation efficiency of the front and rear openings on one side of the classroom is higher than that of the left and right openings in front of the classroom; from the evacuation density map, regardless of the opening layout, the location of pedestrian congestion is roughly the same.

In road construction, the compaction of the large-thickness water-stable layer is mainly done in layers. However, the construction period is long, and the integrity of the water-stable layer after compaction is not good. To determine the maximum false pavement thickness and rolling combination that can be compacted at one time by LSV220 single drum vertical vibratory roller. In this paper, two test sections with a virtual pavement thickness of 100 cm were set up to bury the sensors in layers. Through the sensor and sand filling method, the maximum thickness of the compacted pavement is 47cm, and the combination of rolling is "one static compaction, one Weak vibration, and three Strong vibrations" The BP neural network was constructed using the experimental data was used to predict the compaction by sensor data. The error between the predicted and measured values of this neural network was verified to be 1.44%.

In view of the problems such as the imperfect theoretical system and the lack of evaluation system for the development of scenic byway in China, this paper studies and puts forward the basic connotation, main characteristics and spatial structure of scenic byway on the basis of fully drawing lessons from the evaluation and identification standards of scenic byway in the United States and combining with the actual development of scenic byway in China. According to the essential characteristics of scenic byway, this paper puts forward the main evaluation ideas, evaluation dimensions and evaluation index composition of China's scenic byway and uses analytic hierarchy process and fuzzy comprehensive evaluation method to calculate the index weight and overall evaluation score.

The effects of different types and amounts of high viscosity modifiers on bitumen properties are investigated by conventional bitumen property tests and DSR and BBR rheological property tests. And the optimal content of modifier and the viscosity control mechanism of different kinds of modifiers are determined. On this basis, WTR compound high viscosity modified bitumen (RPRA for short) was prepared. The results showed that the rheological properties of RPRA high-viscosity bitumen were optimal when the compound modified bitumen was prepared with 20% waste rubber powder, 5% recycled plastic and 3% polyethylene wax.

From the early stage of highway construction to now, emergency rescue has always been of great significance to ensure the safety of life and property of drivers and passengers. By summarizing the research on the existing expressway emergency rescue system and comprehensively considering the state of drivers and passengers after an accident on the expressway, a new expressway emergency rescue system with "1 + 1" mode is designed, and the field test has been started. The system can make full use of the waiting time for rescue, use big data and Internet of things technology to realize the early warning of upstream vehicles, provide reference for rescue deployment, and help to improve the survival rate of the wounded and reduce the occurrence of secondary accidents.

China has successively released development plans at the national level, and clearly put forward the development goals of transportation in the near future and in the middle of the world. Water transportation is an important part of transportation. Jilin Province is rich in water transportation resources, and the demand for water transportation has been increasing in recent years. This paper studies the development plan of waterway transportation in Jilin Province. On the basis of summarizing the current situation of waterway transportation, it summarizes the development characteristics, analyzes the economic situation and transportation demand that have a greater impact on waterway transportation, and predicts the passenger and freight volume of various types of goods. The future development trend predicts the representative ship type. Based on the above research, this paper proposes the port and waterway layout planning, clarifies the overall planning objectives of Jilin Province's waterway transportation development, and proposes the waterway layout and port layout planning. According to the research, important regional ports include Changchun Port, Jilin Port, Baicheng Port, Songyuan Port and Siping Port; general ports include Tonghua Port, Baishan Port and Yanbian Port. The overall layout of the waterway is to build the main skeleton of "one vertical, three horizontal and one waterway". The paper can provide technical support for Jilin Province to formulate relevant plans.

For the purpose of alleviating highway traffic congestion caused by truck flows, in this paper, based on the highway networking toll data with high coverage and accuracy, vehicle trajectories are constructed, traffic volume is tallied for congestion identification, and then a truck flow traceability analysis method is proposed. The results of the research show that there are different degrees of congestion in the seven freight corridors of the highway network in Shandong Province, and the main sources and destinations of truck flows on the congested sections are located in cities such as Jinan, Zibo and Weifang, as well as some regions outside Shandong Province, indicating that freight transport between major cities in Shandong Province and cross-provincial freight transport are the causes of highway congestion. The study also reveals the departure time distribution pattern of truck flows on congested sections, which can provide a reference for adjusting the highway truck passage time to reduce the impact of truck flow on highway traffic.

In order to meet the needs of railway operations in western China, the development of Chinese New Train Control System (CTCS-N) has been launched. To obtain complete and correct system requirements for CTCS-N early in system development, this paper applies the scenario-based requirements analysis method in software engineering to the requirements analysis of CTCS-N. This method takes the system operation scenario as input, analyzes the behaviors of the scenario based on ontology theory, and extracts the system requirements contained in the scenario based on SWRL (Semantic Web Rule Language) reasoning rules. Furthermore, the timed automata (TA) network model is constructed for requirement verification. Based on the design of the CTCS-N architecture, the above method is used to analyze the requirements based on the train integrity monitoring scenario as an example. The result shows that the method can effectively obtain the system requirements and provides a reference for the requirements development of CTCS-N.

Pedestrian crossing at signal-controlled intersections is a hot and challenging problem in slow traffic research. On the one hand, the signal-controlled intersection is a typical mixed traffic environment where pedestrians crossing the street as well as vehicles, will constantly conflict and threaten road traffic safety. On the other hand, compared with other parts, the tail of pedestrian flow occupies a large amount of intersections’ space and time resources, which greatly hinders the passage of right-turning vehicles. Therefore, it is significant to study the characteristics of pedestrian crossing, especially the characteristics of the tail of pedestrian flow crossing at the intersections. It can not only enrich relevant research and provide reference for optimizing the timing of intersection signals, but also improve the pedestrian crossing environment and alleviating traffic congestion. In this paper, the video data of the intersection of Yanta North Road and Jianxi Street, the intersection of Xiaozhai West Road and Hanguang Road, as well as the intersection of Keji Second Road and Taibai South Road were collected by UAV. The track data of pedestrians and vehicles were extracted by OpenCV, YoloV3 and DeepSort. The pedestrian quantity-time curve was plotted for single one way and multiple two-way street crossings. It is found that there is a good fitting effect between the curve and one-dimensional Gaussian function. Based on this, the actual speed and average waiting time of right-turning vehicles passing the crosswalk are compared respectively under the long tail distribution of different significance degrees. The result shows the long tail distribution of pedestrian crossing can obviously reduce the speed of right-turning vehicles and prolong the average waiting time.

For the purpose of relieving the jamming problem in the connection area between the entrance ramp of urban expressway and the upstream intersection, this paper proposes an optimized coordinated control model coupled with the traffic flow prediction model of the connection area. The model is divided into three sub-models: traffic flow model of the connection area, traffic flow prediction model of the connection area and optimized coordinated control model of the connection area, respectively. The case simulation shows that, compared with the fixed-cycle control model, the optimized coordinated control model coupled with the traffic flow prediction model of the connection area optimizes the queue length of the on-ramp, the average queue length of the east entrance and others of the upstream intersection, and the average delay of the connection area by 31.58%, 40.14% (11.63%), and 27.04%, respectively. Compared with the optimized coordinated control model not coupled with the traffic flow prediction model of the connection area, the model is optimized by 13.33%, 26.09% (8.43%), and 3.96%, respectively. Therefore, the optimized coordinated control model coupled with the traffic flow prediction model of the connection area greatly improves the operation efficiency of the connection area.