摘要
针对我国城市道路交叉口的实际情况,在改进信号配时模型的基础上,采用一种新型随机搜索思想——人工蚂蚁优化算法来解决交叉口的信号配时问题. 仿真试验表明,所得结果优于经典方法,在相同的信号周期内,降低了交叉口的总延误时间和停车次数,提高了通行能力.
Based on the modified model of signal timing for the city route intersection of our country, a new stochastic searching strategy—artificial ant colony optimization algorithm is used to solve the problem. Simulation experiments show that the results can be better than that of classical methods, and can improve the total delay, the number of parkings and the traffic capacity at the route intersection within the same signal time period.
出处
《上海理工大学学报》
CAS
北大核心
2003年第2期143-145,176,共4页
Journal of University of Shanghai For Science and Technology
基金
上海市曙光计划资助项目(2000SG30)
关键词
信号配时
蚂蚁算法
全局优化
signal timing
ant algorithm
global optimization
