Investigating driving behavior and vehicle risk discrimination in expressway merging area

Bo Cheng; Qianqian Liu; Qian Wan; YanYa Huang

doi:10.1117/12.2684154

14 June 2023 Investigating driving behavior and vehicle risk discrimination in expressway merging area

Bo Cheng, Qianqian Liu, Qian Wan, YanYa Huang

Proceedings Volume 12708, 3rd International Conference on Internet of Things and Smart City (IoTSC 2023）; 1270816 (2023) https://doi.org/10.1117/12.2684154
Event: 3rd International Conference on Internet of Things and Smart City (IoTSC 2023）, 2023, Chongqing, China

Abstract

The merging behavior of expressways is regarded as one of the main sources of traffic congestion and delays on expressways and surrounding road networks. As the road narrows, the number of lanes decreases, the traffic capacity decreases, and vehicle conflicts increase. Comprehension of the joint characteristics between driving behavior and traffic conflict can help traffic engineers better estimate the characteristics of traffic flow. Therefore, this paper uses the idea of zoning modeling to evaluate the difference of traffic conflict in the merging area, describes the relationship between oscillation waves and traffic conflict, and puts forward a theoretical model to distinguish the impact of vehicle behavior on traffic safety when traffic oscillation occurs through the microscopic analysis of the influence factors of oscillation wave on traffic conflict.

Citation Download Citation

Bo Cheng, Qianqian Liu, Qian Wan, and YanYa Huang "Investigating driving behavior and vehicle risk discrimination in expressway merging area", Proc. SPIE 12708, 3rd International Conference on Internet of Things and Smart City (IoTSC 2023）, 1270816 (14 June 2023); https://doi.org/10.1117/12.2684154

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