基于遗传算法的干线协调控制参数共同优化  

Parameters Co-optimization for Artery Coordinated Control Based on Genetic Algorithm

作　　者：吴恩[1] 杨晓光[1] 吴震[1] 常云涛[1] 

机构地区：[1]同济大学交通工程系,上海200092

出　　处：《同济大学学报（自然科学版）》2008年第7期921-926,共6页Journal of Tongji University:Natural Science

基　　金：国家自然科学基金重点资助项目(70631002)

摘　　要：将干线延误分为内部进口道和外部进口道两部分进行计算,建立了干线协调控制的离散的计算模型.由于解耦思路的参数优化方法在协调控制中很难得到真正的最优解,因此根据各控制参数的特征选用各自的优化算法,通过尝试以遗传算法为基础的组合算法,得到干线协调控制参数的共同优化流程.通过实例对提出的方法进行验证,与传统的数解法相比,系统延误减低了12.8%.结果表明,基于遗传算法的参数共同优化方法可以提高干线协调控制的效果.A discrete-time calculation model for artery coordinated control is protx3sed, in which system delay is divided into two parts：delay of inside lanes and delay of outside lanes. The optimal solution for coordinated control is hard to obtain if parameters are optimized one after another. Algorithms are chosen in this paper for each control parameter according to their characteristics. The paper also presents parameters co-optimization method for artery coordinated control where a combined algorithm containing genetic algorithm is developed. The pro- posed method was verified in a practical application,in which system delay decreased by 12.8%compared with traditional method. The results show that parameters co-optimization method based on genetic algorithm can improve the effidency of artery coordinated control.

关 键 词：交通干线 协调控制 遗传算法 参数共同优化 

分 类 号：U491.54[交通运输工程—交通运输规划与管理]