基于实时车速的交通控制与诱导协同  

Cooperation Between Traffic Control and Route Guidance Based on Real-time Speed

作　　者：曹洁[1] 王川[2] 

机构地区：[1]兰州理工大学计算机与通信学院,甘肃兰州730050 [2]兰州理工大学电气工程与信息工程学院,甘肃兰州730050

出　　处：《计算机与现代化》2014年第5期145-149,共5页Computer and Modernization

基　　金：国家自然科学基金资助项目(61263031)

摘　　要：为了减小路网的总行程时间和提高路网运行效率,提出一种基于实时车速的交通控制与诱导协同模型。利用惩罚函数将有约束遗传算法转化为无约束遗传算法对所建立的协同模型进行求解,得到最佳的控制方案和诱导方案。在Vissim微观交通仿真软件中建立包含4个交叉口的小型路网进行仿真实验,仿真结果表明,此方法能够有效地减少路网总行程时间,提高路网运行效率。In order to reduce total network travel time and improve the efficiency of road network, a cooperation model of traffic control and route guidance is built based on real-time speed. Genetic algorithm is used to solve the cooperation model to get the best control and guidance scheme through transforming constraints genetic algorithm into unconstrained genetic algorithm by penalty function. In microscopic traffic simulation software Vissim, a small road network with four intersections is established by simulation experiment. The simulation results show that this method can effectively reduce total travel time and improve the efficiency of road network.

关 键 词：车路协同 交通控制 交通诱导 遗传算法 惩罚函数 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]