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

基于改进车流离散模型的多目标优化控制模型研究
引用本文:黄一峰,靳文舟.基于改进车流离散模型的多目标优化控制模型研究[J].现代交通技术,2011,8(3):66-69.
作者姓名:黄一峰  靳文舟
作者单位:1. 广州汽车集团股份有限公司汽车工程研究院,广东广州,510640
2. 华南理工大学,广东广州,510640
摘    要:为减少复杂交叉口群动态控制中车辆延误并提高通过速度,基于改进的车流离散模型,该文提出了以停车延误为目标函数的交叉口群多目标优化控制模型,并以广州天河北复杂交叉口群为例进行了实例运算,算例结果与仿真试验表明本模型体系在系统延误方面要优于传统模型,模型的求解效率高,有利于建立实时的区域交通控制系统。

关 键 词:多目标优化控制模型  粒子群算法  停车延误  仿真测试

Research on Multi-objective Optimal Contol Model Based on Modified Forecast Model of Traffic Flow Simulation
Huang Yifeng,Jin Wenzhou.Research on Multi-objective Optimal Contol Model Based on Modified Forecast Model of Traffic Flow Simulation[J].Modern Transportation Technology,2011,8(3):66-69.
Authors:Huang Yifeng  Jin Wenzhou
Institution:Huang Yifeng~1,Jin Wenzhou~2(1.Guangzhou Automobile Group Co.,Ltd.,Automotive Engineering Institute,Guangzhou 510640,China,2.South China University of Technology,China)
Abstract:Based on modified forecast model of traffic flow simulation,the author proposed an optimal offset model aiming at the minimal delay of vehicles of every subsystem and boosting speed of traffic flow.The research results of this paper were applied to the correlative intersections coordinate control in north district of Guangzhou city.Based on simulation experiment and contrast analysis,the results of optimal computation and simulation experiment indicated that the methods proposed in this paper was more effec...
Keywords:multi-objective optimal control model  particle swarm optimization  delay of vehicles stopping  simulation test  
本文献已被 CNKI 维普 万方数据 等数据库收录!
点击此处可从《现代交通技术》浏览原始摘要信息
点击此处可从《现代交通技术》下载免费的PDF全文
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