A new car-following model accounting for varying road condition

被引：0
作者：
Tieqiao Tang
Yunpeng Wang
Xiaobao Yang
Yonghong Wu
机构：
[1] Beihang University,School of Transportation Science and Engineering
[2] Beijing Jiaotong University,School of Traffic and Transportation
[3] Curtin University,Department of Mathematics and Statistics
来源：
Nonlinear Dynamics | 2012年 / 70卷
关键词：
Road condition; Car-following model; Traffic flow;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
In this paper, we develop a new car-following model with consideration of varying road condition based on the empirical data. Firstly, we explore the effects of road condition on uniform flow from analytical and numerical perspectives. The results indicate that road condition has great influences on uniform flow, i.e., good road condition can enhance the velocity and flow and their increments will increase when road condition becomes better; bad road conditions will reduce the velocity and flow and their reductions will increase when road condition turns worse. Secondly, we study the effects of road conditions on the starting and braking processes. The numerical results show that good road condition will speed up the two processes and that bad road condition will slow down the two processes. Finally, we study the effects of road condition on small perturbation. The numerical results indicate that the stop-and-go phenomena resulted by small perturbation will become more serious when the road condition becomes better.
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页码：1397 / 1405
页数：8
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