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作 者:张小雨 邵春福[1] Zhang Xiaoyu;Shao Chunfu(Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport,Ministry of Transport,PRC,Beijing 100044,China)
机构地区:[1]北京交通大学综合交通运输大数据应用技术交通运输行业重点实验室,北京100044
出 处:《系统仿真学报》2020年第4期709-717,共9页Journal of System Simulation
基 金:中央高校基本科研业务费专项资金(2018YJS077,2017JBZ106)。
摘 要:随着我国城镇化进程的加快,城乡结合部道路交通问题日益显著。为提高城乡结合部道路交叉口的交通运行效率、环境效益和交通安全,提出信号配时多目标优化方法,综合考虑延误、通行能力、停车次数、车辆尾气排放等因素构建模型,运用遗传算法进行求解。以某典型交叉口为例进行分析,给出改进设计方案并进行交通仿真评价。研究结果表明,通过多目标信号配时优化可以缓解城乡结合部道路交叉口交通拥堵和污染物排放的问题,具有较好的交通信号控制效果。With the acceleration of the urbanization process in our country, the road traffic problems in the urban-rural fringe area are becoming serious. In order to improve the traffic efficiency, environmental benefits and traffic safety, a multi-objective optimal model for signal timing is established under the comprehensive consideration of several factors, such as the delay, capacity, number of stops and vehicle emissions. The genetic algorithm is used to solve the problem. A typical intersection is taken as the example for the analysis and the improved design schemes can be achieved and evaluated by the road traffic simulation. The results indicate that the multi-objective optimization is effective in the traffic signal control, which can reduce the traffic congestion and pollutant emissions.
关 键 词:城乡结合部 道路交叉口 信号配时 车辆排放 多目标优化
分 类 号:U491[交通运输工程—交通运输规划与管理]
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