摘要
本文提出了一种基于蚁群优化的控制方法,应用蚁群算法进行相序优化,确定通行相位,并且结合模糊控制的优点,确定该通行相位的有效绿灯时间。仿真结果表明,本文给出的控制方案和优化算法适应能力较强,在相序相对稳定的前提下,单交叉路口的平均车辆延误更少。
A control method based on ant colony optimization algorithm is discussed in this paper. Phase sequence optimization and the next phase are decided by ant colony algorithm. The traffic time of the phase is decided by the merit of fuzzy control. The simulation result shows that the control method and optimization algorithm is adaptive. In the condition of stable phase sequence, the average delay of vehicles is less.
出处
《农业网络信息》
2008年第7期138-141,144,共5页
Agriculture Network Information
基金
沈阳农业大学青年科研基金资助(项目号2005037)
关键词
蚁群算法
模糊控制
平均车辆延误
Nnt colony algorithm
Fuzzy control
Average delay of vehicles
