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A car-following model with the anticipation effect of potential lane changing
  • ISSN号:0567-7718
  • 期刊名称:《力学学报:英文版》
  • 时间:0
  • 分类:U491[交通运输工程—交通运输规划与管理;交通运输工程—道路与铁道工程]
  • 作者机构:[1]School of Transportation Science and Engineering,Beihang University, Beijing 100083, China, [2]School of Economics and Management, Beihang University,Beijing 100083, China, [3]Department of Civil Engineering, The University of Hong Kong,Pokfulam Road, Hong Kong, China, [4]School of Engineering Science,University of Science and Technology of China,Hefei 230026, China
  • 相关基金:The project supported by the National Natural Science Foundation of China (70701002, 70521001 ), the National Basic Research Program of China (2006CB705503), and the Research Grants Council of the Hong Kong Special Administrative Region (HKU7187/05E).
中文摘要:

在这篇论文,一个新汽车追随者模型被介绍小巷由领先的车辆变化,考虑潜力的预料。模型的稳定性条件被使用线性稳定性理论获得。修改 Korteweg de Vries (KdV ) 方程被构造并且解决,并且交通的三种类型流动在前进敏感空间,也就是稳定、亚稳、不稳定的,被分类。两分析并且模拟结果关于小巷变化显示出那焦虑确实确实在驾驶行为和那上有影响在汽车追随者模型改变概率的小巷的考虑能稳定交通流动。在稳定性改进和小巷变化概率之间的量的关系也被调查。

英文摘要:

In this paper, a new car-following model is presented, taking into account the anticipation of potential lane changing by the leading vehicle. The stability condition of the model is obtained by using the linear stability theory. The modified Korteweg-de Vries (KdV) equation is constructed and solved, and three types of traffic flow in the headway-sensitivity space, namely stable, metastable and unstable ones, are classified. Both the analytical and simu- lation results show that anxiety about lane changing does indeed have an influence on driving behavior and that a consideration of lane changing probability in the car-following model could stabilize traffic flows. The quantitative relationship between stability improvement and lane changing probability is also investigated.

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期刊信息
  • 《力学学报:英文版》
  • 中国科技核心期刊
  • 主管单位:中国科学技术协会
  • 主办单位:中国力学学会 中国科学院力学研究所
  • 主编:卢天健
  • 地址:北京市海淀区北四环西路15号
  • 邮编:100190
  • 邮箱:actams@cstam.org.cn
  • 电话:010-62536271
  • 国际标准刊号:ISSN:0567-7718
  • 国内统一刊号:ISSN:11-2063/O3
  • 邮发代号:2-703
  • 获奖情况:
  • 国内外数据库收录:
  • 被引量:352