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考虑双向交通的城市路网交通流元胞自动机模型
引用本文:施俊庆,李志强,李素兰,毛程远,张欣环.考虑双向交通的城市路网交通流元胞自动机模型[J].交通运输系统工程与信息,2017,17(2):90-96.
作者姓名:施俊庆  李志强  李素兰  毛程远  张欣环
作者单位: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
基金项目: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).
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  
收稿时间:2016-05-25

A Cellular Automaton Model of Urban Road Network Considering Bidirectional Traffic
SHI Jun-qing,LI Zhi-qiang,LI Su-lan,MAO Cheng-yuan,ZHANG Xin-huan.A Cellular Automaton Model of Urban Road Network Considering Bidirectional Traffic[J].Transportation Systems Engineering and Information,2017,17(2):90-96.
Authors:SHI Jun-qing  LI Zhi-qiang  LI Su-lan  MAO Cheng-yuan  ZHANG Xin-huan
Affiliation: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
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.
Keywords:traffic engineering  simulation model  cellular automata  bidirectional traffic  road network traffic flow  
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