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作 者:刘成生 蔡玉宝 张雷元 LIU Chengsheng;CAI Yubao;ZHANG Leiyuan(Traffic Management Research Institute of the Ministry of Public Security,Wuxi 214151,China)
机构地区:[1]公安部交通管理科学研究所,江苏无锡214151
出 处:《中国人民公安大学学报(自然科学版)》2021年第4期32-36,共5页Journal of People’s Public Security University of China(Science and Technology)
基 金:“十三五”国家重点研发计划项目子课题(2018YFB1601005)。
摘 要:传统的路经导航方法通常只考虑距离、时间和路况等因素,而忽略了交通信号灯控制的影响,只能计算得出无管控因素参与下的相对较优路径,并非真的最优导航结果。在城市实际导航过程中,对行程时间影响最大的往往是路口红绿灯等待时间,而路段速度通畅程度往往只在高峰期影响较大。为使得导航时间更精准、停车次数最少及行程时间最优,在此探讨一种基于绿灯时刻图的车辆行驶路径动态导航方法。根据城市交通信号控制系统的信号配时参数及信号阶段、相位灯态等实时运行信息,并结合路径长度、到达时间及停车次数等指标,计算出一条信号管控因素参与下的效率优化的通行路径。总体以行程时间和停车次数作为路径导航优化目标,并引入了推荐路段引导速度,重复利用交通信号灯配时参数,解决实际导航误差问题。Regardless of the influence of traffic signal,traditional road navigation methods usually only consider factors such as distance,time,and road conditions,resulting in a relatively optimal path,but not optimal navigation result.In the actual urban navigation process,the most significant influence on travel time is often the waiting time for traffic lights at intersections.Road patency has great impact on travel time only during peak periods.This paper discussed a dynamic navigation method of vehicle driving path based on green light time chart,in order to realize more accurate navigations,minimum stops and optimal travel time.According to the real-time operating information of the urban traffic signal control system,such as signal timing parameters,signal stages and phase light states,an efficient and optimized traffic path was calculated,which was also combined with the indexes of path length,arrival time and number of stops.Overall,taking the travel time and the number of stops as the optimization objectives and introducing the recommended road section guidance speed,the traffic signal light timing parameters are reused to solve the actual navigation error problem.
分 类 号:TP319[自动化与计算机技术—计算机软件与理论]
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