An improved car⁃following model for connected and automated vehicles considering impact of multiple vehicles

被引：0
|
作者：
Pu Y. [1 ,2 ,3 ]
Xu Y. [1 ,2 ,3 ]
Liu H.-X. [1 ,2 ,3 ]
Tan Y.-F. [1 ,2 ,3 ,4 ]
机构：
[1] School of Transportation and Logistics, Southwest Jiaotong University, Chengdu
[2] National Engineering Laboratory of Application Technology of Integrated Transportation Big Data SWJTU, Southwest Jiaotong University, Chengdu
[3] National United Engineering Laboratory of Integrated and Intelligent Transportation, Southwest Jiaotong University, Chengdu
[4] Department of Civil and Environment Engineering, University of Wisconsin-Madison, Madison
来源：
Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition) | 2024年 / 54卷 / 05期
关键词：
car-following model; connected autonomous vehicle; safety evaluation; traffic engineering; traffic flow stability;
D O I：
10.13229/j.cnki.jdxbgxb.20220770
中图分类号：
学科分类号：
摘要：
To study the impact of connected autonomous vehicle （CAV） on traffic flow，based on the intelligent driver model（IDM），a car-following model for CAV is constructed by considering the rear vehicle and velocity difference of multiple front vehicles simultaneously. Then critical stability condition is deduced by applying the linear stability analysis theory. Taking a rear vehicle and five-head vehicles into consideration，the numerical simulation is performed. The results show that under the backward looking effect context only when the backward weight ratio belongs to an appropriate range then the traffic flow stability can be enhanced. Furthermore，accounting for both the rear vehicle and the velocity difference of multiple preceding vehicles can also reduce the instability of traffic flow caused by time delay. The acceleration of the vehicle under the new model is gentler and more conducive to improve the stability and safety of traffic flow. © 2024 Editorial Board of Jilin University. All rights reserved.
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页码：1285 / 1292
页数：7
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