Research on the influence factors of intercity highway bus flow distribution based on random forest algorithm

Mengjuan Zhang; Shengwen Yang; Fuze Chen; Miaojingxin Wu

doi:10.1117/12.3015720

20 February 2024 Research on the influence factors of intercity highway bus flow distribution based on random forest algorithm

Mengjuan Zhang, Shengwen Yang, Fuze Chen, Miaojingxin Wu

Author Affiliations +

Proceedings Volume 13064, Seventh International Conference on Traffic Engineering and Transportation System (ICTETS 2023); 1306432 (2024) https://doi.org/10.1117/12.3015720
Event: 7th International Conference on Traffic Engineering and Transportation System (ICTETS 2023), 2023, Dalian, China

Abstract

The distribution of passenger car flow on intercity highways is crucial for traffic planning and management, and analyzing its intrinsic influencing factors is also urgent for solving various traffic problems. In this paper, the Random Forest algorithm is used to identify the key factors affecting the distribution of different passenger car flows, and the degree of dependence of the distribution of different types of passenger car flows on different factors is further analyzed through visualization. The results show that: tertiary gross product and urban population are the significant features affecting the traffic volume of small-sized buses; gross product and urban population are the significant features affecting the traffic volume of medium-sized buses; tertiary gross product and urban population are also the significant features affecting the traffic volume of large-sized buses.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Mengjuan Zhang, Shengwen Yang, Fuze Chen, and Miaojingxin Wu "Research on the influence factors of intercity highway bus flow distribution based on random forest algorithm", Proc. SPIE 13064, Seventh International Conference on Traffic Engineering and Transportation System (ICTETS 2023), 1306432 (20 February 2024); https://doi.org/10.1117/12.3015720

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