摘要
以城市交通干道的延误时间最小化为研究目标,通过对应用于交通干道协调控制相位差优化的遗传算法和混沌优化算法的研究分析,并结合两者的优点,提出一种基于Logistic映射的混沌遗传优化算法,进而得到各个路口的最佳相位差,并将新算法与已有算法进行对比仿真实验,实验结果证实了该方法在收敛性和优化效果上都得到了提高.
To minimize the delayed time of a urban traffic main road, after studying and analyzing the offset parameters optimization by genetic algorithm and chaos optimization algorithm, this paper introduces chaotic optimization whose mapping function is logistic into genetic algorithm by combing the advantages of them, and then we get the best offsets of each intersection. Finally, the comparative results can confirm the proposed one＇s convergence performance and optimization effect are better than the existing algorithms.
出处
《广西工学院学报》
CAS
2013年第1期44-49,共6页
Journal of Guangxi University of Technology
基金
广西科技攻关计划项目(桂科攻0992006-13)资助
关键词
干道协调控制
相位差优化
延误时间
混沌遗传算法
coordination control of trunk road
offset optimization
delayed time
chaos genetic algorithm
