Resident travel path planning based on risk assessment of epidemic-related areas

Zhijian Wang; Jianpeng Yang; Shunzhong Long; Jian Guo

doi:10.1117/12.2613686

10 November 2021 Resident travel path planning based on risk assessment of epidemic-related areas

Zhijian Wang, Jianpeng Yang, Shunzhong Long, Jian Guo

Proceedings Volume 12050, International Conference on Smart Transportation and City Engineering 2021; 120501M (2021) https://doi.org/10.1117/12.2613686
Event: 2021 International Conference on Smart Transportation and City Engineering, 2021, Chongqing, China

Abstract

Aiming at the problem of residents' need to travel during the epidemic, this paper designs a risk assessment method based on the spatial interaction of space-time objects in the epidemic-related area, and evaluates the epidemic risk in the associated area based on an improved gravity model and a one-dimensional steady-state water quality migration model. Based on the Floyd algorithm and according to the residents' choice preferences, an optimal path solution model that simultaneously considers the epidemic risk factor and travel distance is established and the algorithm is verified. An actual road network in Shenyang City was used for example verification, and the difference between the path guidance during the regular period and the epidemic period was compared. The results show that the improved Floyd algorithm can effectively avoid epidemic-related areas. As residents increase their preference for risk avoidance, the length of the guide path will gradually increase, but the risk of infection will gradually decrease.

Citation Download Citation

Zhijian Wang, Jianpeng Yang, Shunzhong Long, and Jian Guo "Resident travel path planning based on risk assessment of epidemic-related areas", Proc. SPIE 12050, International Conference on Smart Transportation and City Engineering 2021, 120501M (10 November 2021); https://doi.org/10.1117/12.2613686

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