The invention relates to a traffic signal lamp intelligent control system and method based on traffic flow. The problem that traffic signal timing is difficult to adjust in real time according to traffic flow conditions of lanes in the prior art is solved. The system comprises a traffic flow detection platform and a traffic signal lamp linkage control platform, the traffic signal lamp linkage control platform is connected with a traffic flow neural network model used for processing traffic flow data, the traffic flow neural network model receives traffic flow detection data from the traffic flow detection platform, and the traffic flow neural network model is connected with a traffic flow prediction processing mechanism. The traffic flow prediction processing mechanism inputs predicted traffic flow data to the traffic flow neural network model in real time, and the traffic flow neural network model outputs a real-time variable control signal to the traffic signal lamp linkage control platform according to the current traffic flow detection data and the predicted traffic flow data. The method has the advantages that the traffic lights can be adjusted in real time according to the traffic flow information, urban traffic management is more flexible, and the situation of traffic jam is effectively relieved.
本发明涉及一种基于交通流的交通信号灯智能控制系统及方法。它解决了现有技术中交通信号配时难以根据车道的车流情况进行实时调节的问题。它车流检测平台及交通信号灯联动控制平台,交通信号灯联动控制平台连接有用于处理车流数据的车流神经网络模型,且车流神经网络模型接收来自车流检测平台的车流检测数据,车流神经网络模型连接有车流预测处理机构,且车流预测处理机构向车流神经网络模型实时输入预测车流数据,车流神经网络模型根据当前车流检测数据配合预测车流数据向交通信号灯联动控制平台输出实时可变的控制信号。本发明的优点在于:能够根据车流信息对交通信号灯进行实时调整,城交通管理更加灵活,有效缓解了交通拥堵的情况。
Traffic signal lamp intelligent control system and control method based on traffic flow
一种基于交通流的交通信号灯智能控制系统及控制方法
2023-10-20
Patent
Elektronische Ressource
Chinesisch
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