交通运输系统工程与信息 ›› 2017, Vol. 17 ›› Issue (2): 90-96.

• 系统工程理论与方法 • 上一篇    下一篇

考虑双向交通的城市路网交通流元胞自动机模型

施俊庆*1,李志强2,李素兰3,毛程远1,张欣环1   

  1. 1. 浙江师范大学工学院,浙江金华321004;2. 武汉市交通科学研究所,武汉430015; 3. 武汉理工大学交通学院,武汉430063
  • 收稿日期:2016-05-25 修回日期:2016-08-20 出版日期:2017-04-25 发布日期:2017-04-25
  • 作者简介:施俊庆(1982-),男,浙江永康人,讲师,博士.
  • 基金资助:

    浙江省自然科学基金/ Zhejiang Provincial Natural Science Foundation of China (LQ15E080005); 湖北省交通运输厅科技项目/ Project of Science and Technology of the Department of Transportation of Hubei Province, China (2014-721-3-13);金华市科技计划项目/ Project of Science and Technology of Jinhua, China (2015-3-027).

A Cellular Automaton Model of Urban Road Network Considering Bidirectional Traffic

SHI Jun-qing1,LI Zhi-qiang2,LI Su-lan3,MAO Cheng-yuan 1,ZHANG Xin-huan 1   

  1. 1. College of Engineering,Zhejiang Normal University,Jinhua 321004,Zhejiang,China; 2.Wuhan Transportation Science Research Institute,Wuhan 430015,China; 3. School of Transportation,Wuhan University of Technology,Wuhan 430063,China
  • Received:2016-05-25 Revised:2016-08-20 Online:2017-04-25 Published:2017-04-25

摘要:

允许车辆借反向车道超车的双向交通道路是城市路网的重要组成部分. 本文考虑了双向交通道路的车辆行驶规则,研究了无信号控制交叉口的车辆优先通行权分配规则,构建了一个双向交通的城市路网交通流元胞自动机模型,研究了城市路网交通流的动态特性. 研究结果表明,临界密度随着路网规模的增加而下降,路网交通密度的增加会加速拥堵闭环的形成,换道概率的增加会降低路网车速和缩短局部死锁现象形成的时间,单位时间换道车辆数与换道概率及交通密度之间存在着密切的关系.

关键词: 交通工程, 仿真模型, 元胞自动机, 双向交通, 路网交通流

Abstract:

The bidirectional traffic road that allows the vehicle to overtake through the reverse lane is an important part of urban road networks. In this paper,a cellular automaton model of urban road network considering driving rules of bidirectional traffic road and the dispatching rule of priority in the four-way stop control intersection is proposed to simulate traffic dynamics in urban road networks. Simulation results show that the critical density decreases as network scale increases,and the increase of network traffic density will accelerate the formation of the local deadlock. We also found that the increase of lane changing probability will lead to the decrease of the network speed and time of the local deadlock formation. There is a close relationship between the lane changing number of vehicles per unit time and the lane changing probability and network traffic density.

Key words: traffic engineering, simulation model, cellular automata, bidirectional traffic, road network traffic flow

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