An improved car-following model from the perspective of driver's forecast behavior

被引:8
|
作者
Liu, Da-Wei [1 ]
Shi, Zhong-Ke [1 ]
Ai, Wen-Huan [1 ]
机构
[1] Northwestern Polytech Univ, Coll Automat, Xian 710072, Shaanxi, Peoples R China
来源
INTERNATIONAL JOURNAL OF MODERN PHYSICS C | 2017年 / 28卷 / 04期
关键词
Car-following model; nonlinear analysis; traffic flow; forecast effect; OPTIMAL VELOCITY MODEL; TRAFFIC FLOW; FUEL CONSUMPTION; NUMERICAL TESTS; REACTION-TIME; ON-RAMP; STABILITY; DELAY; DYNAMICS; JAMS;
D O I
10.1142/S0129183117500462
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
In this paper, a new car-following model considering effect of the driver's forecast behavior is proposed based on the full velocity difference model (FVDM). Using the new model, we investigate the starting process of the vehicle motion under a traffic signal and find that the delay time of vehicle motion is reduced. Then the stability condition of the new model is derived and the modified Korteweg-de Vries (mKdV) equation is constructed to describe the traffic behavior near the critical point. Numerical simulation is compatible with the analysis of theory such as density wave, hysteresis loop, which shows that the new model is reasonable. The results show that considering the effect of driver's forecast behavior can help to enhance the stability of traffic flow.
引用
收藏
页数:17
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