Lane change decision model for connected and autonomous vehicle considering game behavior in the interweaving area

Guosong Shen; Hong Wang; Qiucheng Chen; Jiahui Liu; Shunying Zhu

doi:10.1117/12.3015795

20 February 2024 Lane change decision model for connected and autonomous vehicle considering game behavior in the interweaving area

Guosong Shen, Hong Wang, Qiucheng Chen, Jiahui Liu, Shunying Zhu

Author Affiliations +

Proceedings Volume 13064, Seventh International Conference on Traffic Engineering and Transportation System (ICTETS 2023); 1306438 (2024) https://doi.org/10.1117/12.3015795
Event: 7th International Conference on Traffic Engineering and Transportation System (ICTETS 2023), 2023, Dalian, China

Abstract

The road traffic in a certain period of time in the future will be composed of Human-Driven Vehicle (HDV) and Connected and Autonomous Vehicle (CAV) as heterogeneous traffic flow, and the lane change decision model of CAV in the interweaving area is established for the heterogeneous traffic flow environment. The CAV-HDV lane-changing decision model is established based on the free and forced lane-changing behaviors of CAV in the intertwined area, and the CAVCAV lane-changing decision model is established by considering the minimum safety distance, and introducing the idea of game theory. The CAV lane change decision model is validated by using SUMO traffic flow simulation software, and the results show that the CAV lane change decision model established in this paper has higher passing efficiency and lane change success rate compared with the traditional gap threshold acceptance model under high CAV permeability.

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

Citation Download Citation

Guosong Shen, Hong Wang, Qiucheng Chen, Jiahui Liu, and Shunying Zhu "Lane change decision model for connected and autonomous vehicle considering game behavior in the interweaving area", Proc. SPIE 13064, Seventh International Conference on Traffic Engineering and Transportation System (ICTETS 2023), 1306438 (20 February 2024); https://doi.org/10.1117/12.3015795

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