Car-following model with optimal velocity information of multiple-vehicle ahead

被引：0
|
作者：
An S. [1 ]
Xu L. [1 ,2 ]
Qian L. [3 ]
Chen G. [1 ]
机构：
[1] School of Transportation, Wuhan University of Technology, Wuhan
[2] School of Automotive and Traffic Engineering, Hubei University of Arts and Science, Xiangyang
[3] School of Continuing Education, Southwest Forestry University, Kunming
来源：
Dongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Southeast University (Natural Science Edition) | 2020年 / 50卷 / 06期
关键词：
Car-following model; Optimal velocity; Stability analysis; Vehicle-infrastructure cooperation;
D O I：
10.3969/j.issn.1001-0505.2020.06.024
中图分类号：
学科分类号：
摘要：
Based on the characteristics of complete information accessibility of vehicle-infrastructure cooperation technology, the feedback information of headway was introduced, and an improved car-following model with the optimal velocity information of multiple-vehicle ahead (OVIMA) was proposed. Meanwhile, the drivers' perception characteristics under different headway conditions were added to improve the multi-speed difference feedback control strategy. The linear stability of the improved model was derived based on the Lyapunov method and the stability conditions were obtained. Then, the numerical simulation method was used to analyze the influences of OVIMA and velocity difference information of multiple-vehicle ahead (VDIMA) on the traffic flow stability. The results show that, compared with existing MVD models, the acting time of the disturbance can be reduced by about 30.3% by considering the optimal velocity of multiple-vehicle ahead. In the case of frequent disturbances, the introduction of OVIMA is more conducive to the stability of the traffic flow. When the parameter N is increased to 3, the stagnation time of the chaser is reduced by 74.0%. The stability of the traffic flow can be further improved and the traffic congestion can be suppressed by expanding the information dimension of vehicles on the same number of communication vehicles. © 2020, Editorial Department of Journal of Southeast University. All right reserved.
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页码：1156 / 1162
页数：6
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