An extended visual angle car-following model considering the vehicle types in the adjacent lane

被引:28
|
作者
Jiang, Nan [1 ]
Yu, Bin [1 ,2 ]
Cao, Feng [3 ]
Dang, Pengfei [3 ]
Cui, Shaohua [1 ]
机构
[1] Beihang Univ, Sch Transportat Sci & Engn, Beijing 100191, Peoples R China
[2] Beihang Univ, BDBC, Beijing 100191, Peoples R China
[3] Dalian Univ Technol, Sch Automot Engn, Dalian 116024, Peoples R China
基金
国家重点研发计划;
关键词
Car-following; Visual angle; Two lanes; Vehicle type; FEEDBACK-CONTROL; TRAFFIC FLOW;
D O I
10.1016/j.physa.2020.125665
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
In the real two-lane traffic environment without isolation belt, changes in vehicle type in the adjacent lane will have an impact on the driver's following behavior in the lane. Due to changes in the vehicle type in the adjacent lane, we improve the full velocity difference model and present an extended visual angle car-following model. From the perspective of stimulus-response framework, the model takes the visual angle and its rate of change in front of the same lane and adjacent lane as stimulus factors, the stability condition is obtained through linear stability theory. The results indicate that the vehicle type in the adjacent lane has great impact on the stability of traffic flow. The results of numerical simulations also verify these theoretical analysis. (C) 2020 Elsevier B.V. All rights reserved.
引用
收藏
页数:9
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