基于遗传算法的智能交通控制系统优化研究
Intelligent Traffic Control System Based on Genetic Algorithms Research
投稿时间:2015-09-19  修订日期:2015-10-18
DOI:
中文关键词:  单交叉路口;四相位;遗传算法;优化
英文关键词:Single intersection; Fourth phase; genetic algorithm; optimization
基金项目:贵州省科学技术(黔科合J字LKLS[2013]32号); 贵州省科学技术(黔科合LH字[2015]7005号).
作者单位E-mail
陕振沛 六盘水师范学院 shan091740343@163.com 
宁宝权 六盘水师范学院  
张转周 遵义师范学院  
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中文摘要:
      本文建立了单交叉路口交通流动态模型,并采用由Goldberg总结出的基本遗传算法进行四相位交叉口的优化配时。通过算例分析发现,经过遗传算法得出的配时方案明显优于由传统算法产生的定时控制,单交叉路口的车辆排队长度明显减小。
英文摘要:
      This paper established a dynamic model of single intersection traffic flow and used the the basic genetic algorithm got by Goldberg optimize four-phase intersection timing.The result shows the timing scheme by the genetic algorithm is better than the traditional algorithm of timing control,the length of single intersection of vehicle queue is obviously decreased.
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