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基于机动车排放的交叉口信号控制仿真与分析
引用本文:李素兰,张谢东,施俊庆,王晓佳.基于机动车排放的交叉口信号控制仿真与分析[J].交通运输系统工程与信息,2001,19(4):72-78.
作者姓名:李素兰  张谢东  施俊庆  王晓佳
作者单位:1. 武汉理工大学交通学院,武汉 430063;2. 武汉市桥梁维修管理处,武汉 430015; 3. 浙江师范大学工学院,浙江 金华 321004;4. 武汉市交通科学研究所,武汉 430015
基金项目:浙江省自然科学基金/ Natural Science Foundation of Zhejiang Provincial, China (LY18E080021);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 (2017-538-4-9, 2018-422- 4-8).
摘    要:结合微观仿真元胞自动机模型和机动车排放MOVES模型,以十字信号控制交叉口为仿真对象,研究交叉口信号配时与机动车排放之间的关系.元胞自动机模型将交叉口和路段划分为3.5 m×3.5 m的元胞,每辆车占2 个元胞,交叉口内转弯车辆减速慢行,直行车辆速度不受限制,提高了交通仿真的真实性和机动车排放测算的准确性.仿真结果表明:最佳信号周期随着车辆到达率的增加而增加,使得交叉口通行效率达到最大化;行程时间随着左转车比例的增加而增加,对于不同的车辆到达率,均存在一个极限值,当左转车比例低于该极限值时,行程时间变化不大,高于该极限值时,行程时间快速增加;从通行能力、行程时间和尾气排放的角度,交叉口具有不同的最佳信号周期,且差异较大.

关 键 词:交通工程  元胞自动机模型  仿真技术  机动车排放  信号配时  
收稿时间:2019-01-29

Simulation and Analysis of Intersection Signal Control Based on Vehicle Emission
LI Su-lan,ZHANG Xie-dong,SHI Jun-qing,WANG Xiao-jia.Simulation and Analysis of Intersection Signal Control Based on Vehicle Emission[J].Transportation Systems Engineering and Information,2001,19(4):72-78.
Authors:LI Su-lan  ZHANG Xie-dong  SHI Jun-qing  WANG Xiao-jia
Institution:1. School of Transportation,Wuhan University of Technology,Wuhan 430063, China; 2.Wuhan Bridge Maintenance Management Office,Wuhan 430015, China; 3. College of Engineering, Zhejiang Normal University, Jinhua 321004, Zhejiang, China; 4.Wuhan Transportation Science Research Institute,Wuhan 430015, China
Abstract:The relationship between signal timing and vehicle emission at intersections is studied by combining cellular automata model and MOVES model. Cellular automaton model divides intersections and road sections into 3.5 m× 3.5 m cells, each vehicle occupies two cells. In the intersection, turning vehicles slow down, and through vehicles move without restiction, which improves the authenticity of traffic simulation and the accuracy of vehicle emission estimation. The simulation results show that the optimal signal cycle increases with the increase of vehicle arrival rate, which maximizes the efficiency of intersections. The travel time increases with the increase of left-turn ratio, and there is a limit value for each vehich arrival rate. When the left-turn ratio is lower than the limit value, the travel time does not change much. When the left-turn ratio is higher than the limit value, the travel time increases rapidly. From the perspective of capacity, travel time and exhaust emissions, intersections have different characteristics, the optimum signal period is quite different.
Keywords:traffic engineering  cellular automata model  simulation technology  motor vehicle emissions  signal timing  
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