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计算机系统应用:2020,29(3):187-193
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基于DEVS的交叉路口建模与仿真
(山西大学 电力工程系, 太原 030013)
Intersection Modeling and Simulation Based on DEVS
(Department of Electric Power Engineering, Shanxi University, Taiyuan 030013, China)
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投稿时间:2019-08-05    修订日期:2019-09-05
中文摘要: 考虑有信号控制的交叉路口内车辆之间、车辆与行人之间的冲突,在离散事件仿真规范(DEVS)框架下构建了交叉路口微观交通仿真模型.以某市典型交叉路口观察数据标定仿真参数,将仿真结果与按《城市道路设计规范》计算得到的通行能力进行比较,验证了模型.在此基础上,首先,仿真分析了不同左转比例对交叉路口通行能力的影响;然后,基于各方向等待通过交叉路口的车辆数目设计了智能绿信比控制策略.仿真试验表明:通行能力随着左转车比例的增加先上升后下降;智能绿信比控制能显著提升交叉路口通行能力,明显降低平均引道延误时间.由此证明仿真模型能真实地模拟交叉路口各因素间的相互作用,且易于扩充,通用性强,能够用于其它智能交通问题的研究.
中文关键词: DEVS  交叉路口  微观交通仿真  智能交通
Abstract:Considering the conflicts between vehicles and between vehicle and pedestrian at the intersection with signal control, the microscopic traffic simulation model of the intersection is constructed under the Discrete Event System Specification (DEVS). By calibrating simulation parameters with observation data of a typical intersection in a city, the simulation results are compared with the calculated traffic capacity according to the "Specification for Urban Road Engineering", and the model is verified. On this basis, first, the influence of the amount of left-turn ratio on the traffic capacity of intersection is analyzed by the simulation. Then, an intelligent green ratio control strategy is designed based on the number of vehicles waiting to cross the intersection in each direction. The simulation results show that, the capacity increases first and then decreases with the increase of the ratio of left-turn vehicles; and the intelligent green ratio control can significantly improve the traffic capacity of intersection and significantly reduce the average approach road delay time. These prove that the simulation model can truly simulate the interaction of various intersection factors, and is easy to expand and universalize, which can be applied to the study of other intelligent traffic problems.
文章编号:7307     中图分类号:    文献标志码:
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引用文本:
张学军,王宁,王兆鹏.基于DEVS的交叉路口建模与仿真.计算机系统应用,2020,29(3):187-193
ZHANG Xue-Jun,WANG Ning,WANG Zhao-Peng.Intersection Modeling and Simulation Based on DEVS.COMPUTER SYSTEMS APPLICATIONS,2020,29(3):187-193

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