摘要
针对复杂的导流岛冲突区机非冲突行为,应用传统解析法得到的右转车道通行能力往往与实际运行状况偏差较大.为此,提出了基于VISSIM微观交通仿真软件的导流岛机非冲突元胞自动机模型.该模型利用VISSIM的组件对象模型编程,依据提出的元胞自动机规则集,通过设置一系列模拟元胞的检测器,来控制右转机动车的车速变化,从而模拟右转机动车面对非机动车或行人冲突时的截流效应,并同时利用VISSIM仿真软件的让行设置来控制非机动车或行人的过街行为.仿真结果表明,利用该模型得到的右转车道通行能力值与实际观测值的平均相对误差为5.45%,优于传统的解析法,能够较好地反映导流岛冲突区的实际运行状况,从而为混合交通条件下导流岛渠化形式的规划、设计、交通管理与组织提供理论依据.
For the complex behaviors of vehicle-bicycle conflict at the conflict zones of channelized islands, the capacity of right-turn lane which is calculated by the traditional analytical method is different with the practical condition. In order to solve the problem, a cellular automaton model based on VISSIM microscopic traffic simulation software for vehicle-bicycle conflict at channelized islands was proposed. According to the proposed rules of cellular automaton, the component object model of VISSIM was used for programming to control the velocity variation of right-turn vehicles by setting a series of detectors which were used to simulate cellular. Therefore, the closure effect of right-turn vehicles when they were in conflict with nonmotorized vehicles or pedestrians could be simulated by these settings. Meanwhile, the crossing behaviors of non-motorized vehicles or pedestrians were controlled by using the priority rules of VISSIM. The simulation results show that the average relative error between the capacity of right-turn lane by the proposed model and the practical observation value was 5. 45%.The experimental results show that the proposed model is better than the traditional analytical methods and can reflect the practical condition of conflict zones of of channelized islands, thus it can provide theoretical basis for the planning, design,traffic management and organization of channelized islands under the condition of mixed traffic flow.
出处
《计算机应用》
CSCD
北大核心
2016年第6期1745-1750,共6页
journal of Computer Applications
基金
国家863计划项目(2014BAG03B03)
北京市科委计划资助项目(Z131100004513002)~~
关键词
元胞自动机
VISSIM
机非冲突
导流岛
右转通行能力
交通工程
Cellular Automaton(CA)
VISSIM
vehicle-bicycle conflict
channelized island
capacity of the right-turn lane
traffic engineering