Car-following model considering the lane-changing prevention effect and its stability analysis

被引:7
|
作者
Jia, Bingmei [1 ]
Yang, Da [1 ,2 ]
Zhang, Xiaobo [3 ,4 ]
Wu, Yuezhu [1 ]
Guo, Qian [1 ]
机构
[1] Southwest Jiaotong Univ, Sch Transportat & Logist, 999 Piduquxianlu, Chengdu 611756, Peoples R China
[2] Minist Publ Secur, Traff Management Res Inst, Wuxi 214151, Jiangsu, Peoples R China
[3] Southwest Jiaotong Univ, Sch Informat Sci & Technol, Inst Artificial Intelligence, Chengdu 611756, Peoples R China
[4] Southwest Jiaotong Univ, Natl Engn Lab Integrated Transportat Big Data App, Chengdu 611756, Peoples R China
来源
EUROPEAN PHYSICAL JOURNAL B | 2020年 / 93卷 / 08期
关键词
Statistical and Nonlinear Physics; TRAFFIC DYNAMICS; FEEDBACK-CONTROL; FLOW;
D O I
10.1140/epjb/e2020-10028-3
中图分类号
O469 [凝聚态物理学];
学科分类号
070205 ;
摘要
The car-following behavior has attracted much attention in past decades. However, the majority of the existing studies ignored the fact that the following vehicle in car-following may prevent the lane-changing of the vehicle on the adjacent lanes, when a large gap exists between the following and leading vehicles. Therefore, this paper proposes a new car-following model considering the lane-changing prevention effect. The final velocity of the following vehicle is a combination of a safe velocity and a lane-changing prevention velocity. The stability condition of the model is derived and verified through numerical simulation, and impacts of several factors on stability are analyzed. The results display that the stability condition is consistent with the simulation results. The most significant factors impacting on the stability are the safe time-headway for lane-changing and the contribution proportion alpha of the safe velocity and lane-changing prevention velocity. The optimal values exist for the proportion alpha and lane-changing time headway that can make the stability of the traffic flow the highest.
引用
收藏
页数:9
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