In this paper,for the control problem in one intersection,based on improved BP neural network algorithm,considering key traffic flow and nonkey traffic flow,hierarchical weighted neural network controller was proposed and desiged. It’ s used to control traffic on time.
针对单交叉路口红绿灯控制问题,基于改进的BP神经网络算法,同时考虑关键车流和非关键车流信息,提出并设计了两级加权神经网络控制器来进行实时控制。
参考来源 - 城市单路口两级加权神经网络控制系统设计·2,447,543篇论文数据，部分数据来源于NoteExpress
Urban Traffic Flow Guidance Systems (UTFGS) is an important part of ITS, and also is the key technique of execution for ITS.
交通流诱导系统是智能交通系统的重要组成部分，也是智能交通系统能够实施的关键技术。
Effectively managed mobile, bicycle and pedestrians mixed traffic flow at signalized intersection is a key to traffic management in China.
在我国城市交通管理中，对城市信号交叉口处机动车、自行车和行人的混合交通流的有效组织是交通通畅运行的关键。
The precondition and key of intelligent control of urban traffic is real time and exact traffic flow prediction.
城市交通的智能控制实现的前提和关键是实时准确的交通流量预测。
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