考虑前后多车的混合交通流稳定性与安全性分析

doi:10.16097/j.cnki.1009-6744.2024.06.018

交通运输系统工程与信息 ›› 2024, Vol. 24 ›› Issue (6): 206-218.DOI: 10.16097/j.cnki.1009-6744.2024.06.018

考虑前后多车的混合交通流稳定性与安全性分析

杜文举^*a，赵尚飞^a，李引珍^a，张建刚^b

兰州交通大学，a.交通运输学院；b.数理学院，兰州730070

收稿日期:2024-08-01 修回日期:2024-09-04 接受日期:2024-09-18 出版日期:2024-12-25 发布日期:2024-12-18
作者简介:杜文举(1987- )，男，甘肃西和人，副教授，博士。
基金资助:
国家自然科学基金 (72361018)；兰州交通大学—天津大学联合创新基金项目(LH2023006)。

Stability and Safety Analysis of Mixed Traffic Flow Considering Multiple Preceding and Following Vehicles

DUWenju^*a,ZHAO Shangfei^a,LI Yinzhen^a,ZHANG Jiangang^b

a. School of Traffic and Transportation; b. School of Mathematics and Physics, Lanzhou Jiaotong University, Lanzhou 730070, China

Received:2024-08-01 Revised:2024-09-04 Accepted:2024-09-18 Online:2024-12-25 Published:2024-12-18
Supported by:
NationalNaturalScienceFoundation of China (72361018)；Joint Innovation Fund Project of Lanzhou Jiaotong University and Tianjin University (LH2023006)。

摘要/Abstract

摘要： 为揭示前后多车信息对复杂混合交通流稳定性与安全性的影响，本文构建考虑前后多车信息的网联自动驾驶车辆(CAV)与网联人工驾驶车辆(CHV)跟驰模型，研究由人工驾驶车辆(HDV)、自动驾驶车辆(AV)、CAV和CHV构成的复杂混合交通流的稳定性与安全性。首先，建立考虑前后多车信息的复杂混合交通流模型，分析所有跟驰模式及4种类型车辆的比例关系；其次，理论解析不同网联车辆渗透率下复杂混合交通流的稳定性判别条件；最后，设计数值实验，分析网联车辆渗透率与前后多车信息对复杂混合交通流稳定性与安全性的影响。仿真结果表明：CAV与CHV渗透率越高，越有利于复杂混合交通流的稳定性，且CHV对复杂混合交通流稳定性改善效果比CAV更显著；相比于仅考虑紧邻前后车信息的情形，考虑前后多车信息对复杂混合交通流的稳定性与安全性具有较大的改善作用；考虑前后两辆车信息时，复杂混合交通流的稳定性与安全性改善效果最佳。

关键词: 智能交通, 稳定性, 数值仿真, 复杂混合交通流, 交通安全, 前后多车

Abstract: To reveal the impact of information from multiple preceding and following vehicles on the stability and safety of complex mixed traffic flow, this paper constructs a car-following model for connected autonomous vehicles (CAVs) and connected human-driven vehicles (CHVs) that considers information from multiple preceding and following vehicles. The model is used to study the stability and safety of complex mixed traffic flow composed of human-driven vehicles (HDVs), autonomous vehicles (AVs), CAVs, and CHVs. Firstly, a complex mixed traffic flow model considering information from multiple preceding and following vehicles is established, and all car-following modes as well as the proportional relationships among the four types of vehicles are analyzed. Secondly, the stability criteria for complex mixed traffic flow under different penetration rates of connected vehicles are theoretically analyzed. Finally, a numerical experiment is designed to analyze the influence of connected vehicle penetration rate and information from multiple preceding and following vehicles on the stability and safety of complex mixed traffic flow. The simulation results indicate that higher penetration rates of CAVs and CHVs contribute to the stability of complex mixed traffic flow, with CHVs exhibiting a more significant improvement effect than CAVs. Furthermore, considering information from multiple preceding and following vehicles has a greater impact on improving the stability and safety of complex mixed traffic flow compared to only considering information from immediately adjacent vehicles. Specifically, considering information from the two immediately preceding and following vehicles yields the best improvement in the stability and safety of complex mixed traffic flow.

Key words: intelligent transportation, stability, numerical simulation, complex mixed traffic flow, traffic safety; multiple preceding and following vehicles

中图分类号:

杜文举, 赵尚飞, 李引珍, 张建刚. 考虑前后多车的混合交通流稳定性与安全性分析[J]. 交通运输系统工程与信息, 2024, 24(6): 206-218.

DUWenju, ZHAO Shangfei, LI Yinzhen, ZHANG Jiangang. Stability and Safety Analysis of Mixed Traffic Flow Considering Multiple Preceding and Following Vehicles[J]. Journal of Transportation Systems Engineering and Information Technology, 2024, 24(6): 206-218.

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http://www.tseit.org.cn/CN/Y2024/V24/I6/206

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考虑前后多车的混合交通流稳定性与安全性分析

Stability and Safety Analysis of Mixed Traffic Flow Considering Multiple Preceding and Following Vehicles

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