摘要
从我国城市道路交叉口人机非混行现状出发,针对典型的交叉口布局,设计了解决机非冲突的2～6可变相位模型,利用检测到的各种交通流的先验知识,用人工智能和多种预测模型相结合的方法预测短时交通流,采用蚁群算法对单个道路交叉口进行动态配时优化,使道路信号交叉口交通控制方案更具有自适应性,以减少车辆延误、提高通行能力。
In view of actual traffic status of China and the typical intersection layout,this paper focused on optimizing algorithms of signal timing of urban intersection based on real-time mixed traffic volume under 2～6 changeable phases.Firstly,according to an examined directional transportation flows,short-time transportation flows were forecast with unified method of the artificial intelligence and many kinds of forecast models.Then,ant system algorithm was used to carry on the dynamic timing to optimize isolated signal intersection transportation control plan.Thereby,the vehicle delay was enabled to reduce,the passing capability upgrade.
出处
《辽宁工学院学报》
2007年第4期234-237,共4页
Journal of Liaoning Institute of Technology(Natural Science Edition)
基金
辽宁省科技厅资助项目(2005219006)
关键词
人机非混行
可变相位
短时交通流预测
蚁群算法
mixed traffic of motor,bicycle and pedestrian
changeable phases
short-time traffic flow forecasting
ant system algorithm
