摘要
针对交叉路口实际情况,提出了单一路口智能体的功能结构;并以路口的平均车辆延误作为目标函数,以周期时长和各相位的绿灯时间为优化参数,建立了路口智能体的优化模型;采用实数编码遗传算法将该优化模型应用于实际信号控制交叉路口的相位配时设计方案中,结果表明优化后的相位配时方案优于现有的控制方案.
According to the actual situation of urban intersection, the model of optimized control of single intersection agent was established, based on the average vehicle delay and the function structure of single intersection agent. With the genetic algorithm of real-code, the model was applied to optimize the traffic signal phasing and timing. The result showed the optimized strategy was better than existing control strategy.
出处
《福建农林大学学报（自然科学版）》
CSCD
北大核心
2008年第2期221-224,共4页
Journal of Fujian Agriculture and Forestry University:Natural Science Edition
基金
福建省自然科学基金资助项目(S0650004)
福建省教育厅资助项目(JA03075)
关键词
交通控制
单一路口智能体
遗传算法
实数编码
traffic control
single intersection agent
genetic algorithm
real-code
