摘要
针对传统基于SCOOT、SCATS、UTOPIA的交通信号配时控制方法存在整体控制效果不佳的问题,提出一种基于人工智能的轨道交通信号配时自动控制方法。在信号相位、信号周期、绿信比3个约束条件下构建城市轨道交通信号配时控制模型,并将遗传算法与蚁群算法进行结合对模型进行求解,最终实现对轨道交通信号配时的自动控制。分析实验结果可知,本文方法的性能加权平均数值为8.5741,明显高于传统方法。说明与3种传统配时控制方法相比,基于人工智能的轨道交通信号配时自动控制方法性能更优,能有效缓解城市交通压力。
Aiming at the problem of poor overall control effect of traditional traffic signal timing control methods based on SCOT,SCATS and UTOPIA,an automatic control method of rail transit signal timing based on artificial intelligence is proposed.The signal timing control model of urban rail transit is constructed under three constraints of signal phase,signal period and green signal ratio.The model is solved by combining genetic algorithm and ant colony algorithm,and the automatic control of signal timing of urban rail transit is realized finally.The experimental results show that the performance weighted average value of the proposed method is 8.5741,which is significantly higher than that of the traditional method.Compared with the three traditional timing control methods,the automatic timing control method based on artificial intelligence for rail transit signal has better performance and can effectively alleviate the urban traffic pressure.
作者
朱理婧
Zhu Lijing(School of Information Science and Technology,Southwest Jiaotong University,Chengdu 611756,China)
出处
《科技通报》
2019年第9期70-74,共5页
Bulletin of Science and Technology
关键词
人工智能
交通信号
配时控制
遗传算法
蚁群算法
artificial intelligence
traffic signal
timing control
genetic algorithm
ant colony algorithm
