A Dynamic Road Incident Information Delivery Strategy to Reduce Urban Traffic Congestion

作     者：liang qi mengchu zhou wenjing luan Liang Qi

作者机构：ieee the department of computer science and technologyshandong university of science and technologyqingdao 266590china the department of computer sciencetongji universityshanghai 201804china the department of electrical and computer engineeringnew jersey institute of technologynewark nj 07102usa the key laboratory of embedded system and service computingministry of educationshanghai electronic transactions and information service collaborative innovation centerdepartment of computer sciencetongji universityshanghai 201804china 

出 版 物：《IEEE/CAA Journal of Automatica Sinica》 (自动化学报（英文版）)

年 卷 期：2018年第5卷第5期

页      面：934-945页

核心收录：

学科分类：0810[工学-信息与通信工程] 1205[管理学-图书情报与档案管理] 08[工学] 0802[工学-机械工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：supported by the National Natural Science Foundation of China(61374148) 

主　　题：信息通信技术 交通事故处理 自动化技术 技术创新 

摘      要：Advanced information and communication technologies can be used to facilitate traffic incident management. If an incident is detected and blocks a road link, in order to reduce the incident-induced traffic congestion, a dynamic strategy to deliver incident information to selected drivers and help them make detours in urban areas is proposed by this work. Time-dependent shortest path algorithms are used to generate a subnetwork where vehicles should receive such information. A simulation approach based on an extended cell transmission model is used to describe traffic flow in urban networks where path information and traffic flow at downstream road links are well modeled.Simulation results reveal the influences of some major parameters of an incident-induced congestion dissipation process such as the ratio of route-changing vehicles to the total vehicles, operation time interval of the proposed strategy, traffic density in the traffic network, and the scope of the area where traffic incident information is delivered. The results can be used to improve the state of the art in preventing urban road traffic congestion caused by incidents.