The invention discloses an intelligent traffic control system based on a BP neural network and a control method thereof, and relates to the technical field of intelligent traffic control, the intelligent traffic control system comprises traffic controller hardware and a crossroad-based BP neural network model, the traffic controller hardware comprises a hardware yellow flash module, a main control module, a driving module, a DSP processor and an image acquisition module, the crossroad-based BP neural network model comprises an input layer, a hidden layer and an output layer, the crossroad-based BP neural network model comprises four input neurons and four output neurons, a BP neural network is used for controlling a prediction algorithm, a traffic controller can acquire a vehicle image through an image acquisition module, and the image acquisition module is used for acquiring the vehicle image. And the trained BP neural network control algorithm is utilized to predict the vehicle passing time, so that the vehicle passing time can be predicted more accurately, traffic light conversion is controlled more accurately in the traffic light controller, and the vehicle passing efficiency is improved.
本发明公开了一种基于BP神经网络的智能交通控制系统及其控制方法,涉及智能交通控制技术领域,包括交通控制器硬件和基于十字路口的BP神经网络模型,所述交通控制器硬件包括硬件黄闪模块、主控模块、驱动模块、DSP处理器和图像采集模块,所述基于十字路口的BP神经网络模型包括输入层、隐含层和输出层,所述基于十字路口的BP神经网络模型包含有四个输入神经元和四个输出神经元,通过使用BP神经网络控制预测算法,交通控制器可以通过图像采集模块采集车辆图像,并利用经过训练后的BP神经网络控制算法预测车辆通行时间,从而可以更加精确地预测车辆通行时间,进而在交通灯控制器中更加准确地控制红绿灯变换,提高车辆通行效率。
Intelligent traffic control system based on BP neural network and control method thereof
一种基于BP神经网络的智能交通控制系统及其控制方法
2023-08-29
Patent
Electronic Resource
Chinese
IPC: | G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS |
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