城市区域交通信号控制与交通诱导协同模型研究  

Research on Collaborative Model of Urban Traffic Signal Control and Traffic Guidance

作　　者：梅朵[1] 袁梦柯 郑黎黎[2] 鄂旭[1] MEI Duo;YUAN Mengke;ZHENG Lili;E Xu(College of Information Science and Technology, Bohai University, Jinzhou 121013, China;College of Transportation, Jilin University, Changchun 130012, China)

机构地区：[1]渤海大学信息科学与技术学院,锦州121013 [2]吉林大学交通学院,长春130012

出　　处：《武汉理工大学学报（交通科学与工程版）》2021年第5期828-833,共6页Journal of Wuhan University of Technology（Transportation Science & Engineering）

基　　金：国家科技重大专项项目(2019YFD0901605);辽宁省教育厅基本科研项目(LQ2017002)。

摘　　要：为了有效缓解城市区域交通拥堵,以区域路网总行程时间最小为目标,引入饱和度、有效绿灯时长、周期时长和相位差作为约束,构建了一种城市区域交通信号控制与诱导协同的一体化模型,并提出了一种基于MapReduce的遗传算法对协同模型进行求解.通过VISSIM仿真实例验证所提出的协同模型和求解算法,实验结果表明:实施协同以后,区域路网中各路段的流量得到了均衡,减少了区域路网的总行程时间,提高了模型求解的效率.In order to effectively alleviate the traffic congestion in urban areas,aiming at minimizing the total travel time of the regional road network,and taking saturation,effective green light duration,cycle duration and phase difference as constraints,an integrated model of urban regional traffic signal control and induction coordination was constructed.A genetic algorithm based on MapReduce was proposed to solve the collaborative model.The proposed collaborative model and solution algorithm were verified by a VISSIM simulation example.The experimental results show that,after the implementation of collaboration,the traffic of each section in the regional road network is balanced,the total travel time of the regional road network is reduced,and the efficiency of solving the model is improved.

关 键 词：交通工程 交通控制 交通诱导 协同模型 MAPREDUCE 

分 类 号：U491.2[交通运输工程—交通运输规划与管理]