查询结果:   伍尚昆,陈翠宜,祝胜林.基于多种群蚁群算法的交叉路口信号配时优化[J].计算机应用与软件,2014,31(5):83 - 88.
中文标题
基于多种群蚁群算法的交叉路口信号配时优化
发表栏目
应用技术与研究
摘要点击数
753
英文标题
TIMING OPTIMISATION FOR INTERSECTION SIGNAL BASED ON MULTI-COLONY ANT ALGORITHM
作 者
伍尚昆 陈翠宜 祝胜林 Wu Shangkun Chen Cuiyi Zhu Shenglin
作者单位
华南农业大学信息学院 广东 广州 510642     
英文单位
College of Information,South China Agricultural University,Guangzhou 510642,Guangdong,China     
关键词
交叉路口信号配时 配时优化 多种群蚁群算法
Keywords
Traffic signal timing at intersection Timing optimisation Multi-colony ant algorithm
基金项目
广东省科技计划项目(2011B0203130 15)
作者资料
伍尚昆,硕士生,主研领域:智能交通控制与优化。陈翠宜,硕士生。祝胜林,教授。 。
文章摘要
针对交叉路口信号控制面临的多目标优化问题,建立以延误时间、停车次数和通行能力作为性能指标的交叉路口信号配时模型,提出一种基于多种群的改进蚁群算法,对信号配时方案进行优化。改进的算法以交叉路口的平峰状态和高峰状态进行仿真。实验结果表明利用该算法对模型求解的结果优于传统方法,能降低交叉口的总延误时间和停车次数,提高了通行能力。且该算法稳定性好,求解速度快。
Abstract
In light of the multi-objective optimisation problem encountered by intersection signal control, in this paper we build a timing optimisation model for intersection signal which takes the vehicle delay time, the vehicle stopping frequency and the traffic capacity as the performance indexes, put forward a multi-colony based improved ant algorithm to optimise the traffic signal timing scheme. The improved algorithm makes simulation on traffic flow states in both rush hour and normal hour. Experimental results show that the use of this method has better outcome in model solution than the traditional method, it can reduce the total vehicle delay time and vehicle stopping frequency at intersections, and improves traffic capacity. The algorithm is fast in solving the problems with good stability.
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