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城市过饱和路网的偏好多目标相容优化控制
引用本文:陈娟,袁长亮.城市过饱和路网的偏好多目标相容优化控制[J].计算机工程与应用,2011,47(10):13-16.
作者姓名:陈娟  袁长亮
作者单位:1. 上海大学悉尼工商学院,上海,201800
2. 交通部公路科学研究院,北京,100088
基金项目:国家自然科学基金,交通部公路院科研创新和人才培养项目
摘    要:针对城市过饱和路网的交通信号控制问题,提出将总延误分为主线路段延误和次线路段延误的划分方法,将控制问题描述为冲突的多目标控制。针对冲突多目标控制问题中最优解不唯一,而传统优化方法中一次运行只能得到一个最优解的问题,提出了一种基于偏好的相容优化控制算法:利用偏好信息动态指引寻优的方向,在偏好区域内获得更多有价值的解;提出基于偏好的目标选择函数,保证控制解在偏好区域内的稳定性。在仿真环境中对一个11个交叉口的城市过饱和路网进行实时控制,结果表明,提出的偏好相容控制算法的效果优于定时控制方案。

关 键 词:相容优化控制  多目标优化  偏好信息  过饱和路网  交通控制
修稿时间: 

Urban oversaturated traffic network control based on preference multi-objective compatible optimization control
CHEN Juan,YUAN Changliang.Urban oversaturated traffic network control based on preference multi-objective compatible optimization control[J].Computer Engineering and Applications,2011,47(10):13-16.
Authors:CHEN Juan  YUAN Changliang
Affiliation:1.Syndey Institute of Language and Commerce,Shanghai University,Shanghai 201800,China 2.Research Institute of Highway Ministry Transport,Beijing 100088,China
Abstract:To solve the traffic control problem on oversaturated linear network,the total delay is divided into two parts:the feeding delay and the non-feeding delay,and the control problem is formulated as a conflicted multi-objective control problem. According to the character that the optimal point is not single in the conflict multi-objective control problem and optimal solutions cannot be simultaneously obtained by traditional optimization methods in a single run,a new compatible control algorithm based on preference is proposed,which incorporates user’s preference information into optimization process for obtaining dense Pareto solutions in preference region,and a new selection function is defined to make control objectives stabilized in this region.The proposed compatible optimization control algorithm is used to solve the oversaturated traffic linear network control problem in a core area of seven junctions under the simulation environment.It is proved that the proposed algorithm can handle the oversaturated linear network control problem effectively than the fixed-time control method.
Keywords:compatible optimization control  multi-objective optimization  preference information  oversaturation network  traffic control
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