Mixed traffic flow characteristics analysis based on simulation approach

Lin Wang; Yuqi Guo; Hengyu Li; Yanyue Liu

doi:10.1117/12.3015694

20 February 2024 Mixed traffic flow characteristics analysis based on simulation approach

Lin Wang, Yuqi Guo, Hengyu Li, Yanyue Liu

Proceedings Volume 13064, Seventh International Conference on Traffic Engineering and Transportation System (ICTETS 2023); 130641E (2024) https://doi.org/10.1117/12.3015694
Event: 7th International Conference on Traffic Engineering and Transportation System (ICTETS 2023), 2023, Dalian, China

Abstract

To study the effect of autonomous vehicles on the characteristics of mixed traffic flow, and make up for the lack of actual scenarios on the road, the simulation approach is proposed. Firstly, we chose the Intelligent Driver Model and Longitudinal Control Model as the autonomous and manual vehicle car-following models, and set the detailed model parameters. In addition, we take highway as the research object, and used the simulation of urban mobility (SUMO) software to model three different types of scenarios. Finally, each scenario is simulated after setting different parameters, the autonomous vehicles proportion increases gradually from 10% to 90% at the rate of 10%, and collected the corresponding data to compute the travel time. Conclusions can be drawn through analysis, the travel time decreased as the proportion of autonomous vehicles increased under the same traffic volume, this result further proves that autonomous vehicles can improve road efficiency.

Citation Download Citation

Lin Wang, Yuqi Guo, Hengyu Li, and Yanyue Liu "Mixed traffic flow characteristics analysis based on simulation approach", Proc. SPIE 13064, Seventh International Conference on Traffic Engineering and Transportation System (ICTETS 2023), 130641E (20 February 2024); https://doi.org/10.1117/12.3015694

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