Comprehensive evaluation method of bus dedicated lane use effect based on multi-source big data

Xuejie Liu; Jing Chen; Tengteng Ma

doi:10.1117/12.2635434

6 May 2022 Comprehensive evaluation method of bus dedicated lane use effect based on multi-source big data

Xuejie Liu, Jing Chen, Tengteng Ma

Proceedings Volume 12256, International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2022); 1225623 (2022) https://doi.org/10.1117/12.2635434
Event: 2022 International Conference on Electronic Information Engineering, Big Data and Computer Technology, 2022, Sanya, China

Abstract

Making full use of bus dedicated lanes can not only ensure the priority of public transportation and enhance the attractiveness of ground public transportation, but also make full use of road resources to achieve the purpose of intensive use of resources. This paper establishes a comprehensive evaluation method system of bus dedicated lanes based on multi-source big data. Using the method, from the angles of physical network of bus dedicated lanes, the degree of matching between bus dedicated lanes and bus passenger flow, and the utilization of bus dedicated lanes, the paper evaluates the use of bus dedicated lanes of Beijing’s main bus passenger flow channels, analyzes the problems, and gives corresponding suggestions, which can provide references for the planning and management of bus dedicated lanes in big cities.

Citation Download Citation

Xuejie Liu, Jing Chen, and Tengteng Ma "Comprehensive evaluation method of bus dedicated lane use effect based on multi-source big data", Proc. SPIE 12256, International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2022), 1225623 (6 May 2022); https://doi.org/10.1117/12.2635434

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