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作 者:陈浩[1] 韩印[1] 王嘉文 杭佳宇 CHEN Hao;HAN Yin;WANG Jiawen;HANG Jiayu(Business School,University of Shanghai for Science and Technology,Shanghai 200093,China;School of Mechanical Engineering and Rail Transit,Changzhou University,Changzhou Jiangsu 213164,China)
机构地区:[1]上海理工大学管理学院,上海200093 [2]常州大学机械与轨道交通学院,江苏常州213164
出 处:《智能计算机与应用》2022年第12期75-81,共7页Intelligent Computer and Applications
摘 要:相邻交叉口连接路段发生道路突发事件时会使车辆迅速溢流堵塞上游交叉口导致拥堵蔓延。因此,开发一种针对受突发事件影响的相邻交叉口信号优化模型有重要意义。本文建立了突发事件下考虑通过相邻交叉口系统车辆平均延误时间最小的信号优化模型。首先,分析了相邻交叉口连接路段发生事件后机动车运行机理。以可接受间隙理论为基础利用概率的方法,建立事故影响下道路通行能力的模型。在此基础上建立了突发事件下相邻交叉口信号优化模型。并将蒙特卡洛方法引入遗传算法对该模型进行求解。最后,通过Vissim和Matlab搭建了仿真平台,验证了通行能力模型和相邻交叉口信号协同优化模型。相邻交叉口信号优化模型对于非干线交通量较大的情景下干线交通量从300 veh/h增加到500 veh/h,平均车辆延误分别降低了33%、37%、20%。数值结果表明通过相邻交叉口系统车辆的平均延误显著降低,同时防止车辆排队溢出至上游交叉口导致拥堵扩散。When traffic incidents occur at the connecting sections of adjacent intersections, vehicles will overflow quickly and block the upstream intersections, leading to the spread of congestion.Therefore, developing a signal optimization model for adjacent intersections affected by emergencies is of great significance. This paper establishes a signal optimization model considering vehicles′ minimum average delay time passing through adjacent intersections during emergencies. Firstly, the vehicle operation mechanism after the incident occurred at the connecting section of the adjacent intersection is analyzed. Based on the acceptable gap theory and using the probability method, the road capacity model under the influence of incidents is established. After that, the signal optimization model of adjacent intersections under emergency is established. The Monte Carlo method is introduced into the genetic algorithm to solve the model. Finally, a simulation platform is built by Vissim and Matlab to verify the traffic capacity model and the signal optimization model of adjacent intersections. In the signal optimization model for adjacent intersections, the arterial traffic increases from 300 veh/h to 500 veh/h under the scenario of large non-arterial traffic, and the average vehicle delay is reduced by 33%, 37% and 20%, respectively. The numerical results show that the average vehicle delay driving through the adjacent intersections is significantly reduced, while the research fruit could prevent that the vehicle queue overflows to the upstream intersections and leads to congestion diffusion.
分 类 号:U491[交通运输工程—交通运输规划与管理]
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