首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于遗传算法的交通信号优化控制研究
引用本文:高飞飞,韩印.基于遗传算法的交通信号优化控制研究[J].交通与运输,2011(1).
作者姓名:高飞飞  韩印
作者单位:上海理工大学管理学院;
基金项目:国家自然科学基金(51008196); 上海市科委科技攻关项目(10dz1510700); 上海市重点学科项目资助(S30504)
摘    要:通过对信号交叉口延误模型的研究,提出了一种新的相位配时优化算法。此算法是将遗传算法引入到延误模型中,以信号交叉口车辆的平均延误最小为目标,考虑交叉口服务水平等多方面的限制,建立新的模型算法,并将其应用于常州市的典型交叉口,获得较好的优化结果。

关 键 词:信号交叉口  延误模型  优化配时  遗传算法  

Research on the Optimization for Signal Based on Genetic Algorithm
GAO Fei-fei,HAN yin.Research on the Optimization for Signal Based on Genetic Algorithm[J].Traffic and Transportation,2011(1).
Authors:GAO Fei-fei  HAN yin
Institution:GAO Fei-fei,HAN yin(Business School,University of Shanghai for Science and Technology,Shanghai 200093,China)
Abstract:The delay models of vehicles at signalized intersections are studied and a new phase timing optimization is proposed.This paper proposes the Genetic Algorithm(GA) to optimize the delay models.The goal is to minimize the average delay of vehicles at signalized intersections and considering the service level of intersection and other restrictions.For this a new model is established.The method mentioned in this paper is applied to the actual intersection in Changzhou city.
Keywords:Signalized intersection  Delay models  Phase timing optimization  Genetic algorithm  
本文献已被 CNKI 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号