The invention provides an intelligent traffic signal control method, and the method comprises the steps: obtaining intersection traffic flow data, and determining intersection traffic flow prediction data according to a pre-trained traffic flow prediction model and the intersection traffic flow data; determining an intersection signal timing scheme according to the intersection flow prediction data and a pre-trained traffic signal control optimization model; and performing signal lamp timing control according to the intersection signal timing scheme. The traffic flow data are acquired in real time through the cloud control platform, the intersection flow data are accurately predicted according to the deep learning algorithm, the signal timing scheme is dynamically optimized for the signalized intersection, and the intersection flow resource allocation is improved. The invention further provides an intelligent traffic signal control system, equipment and a medium.
本发明提供了一种智能交通信号控制方法,方法包括获取路口车流量数据,根据预先训练好的流量预测模型和所述路口车流量数据,确定路口流量预测数据;根据所述路口流量预测数据和预先训练好的交通信号控制优化模型,确定路口信号配时方案;根据所述路口信号配时方案进行信号灯配时控制。本发明通过云控平台实时获取车流量数据,根据深度学习算法准确预测路口流量数据,为信号交叉口动态优化信号配时方案,提高路口流量资源配置。本发明还提供了一种智能交通信号控制系统、设备及介质。
Intelligent traffic signal control optimization algorithm, software and system based on flow prediction in intelligent network connection environment
智能网联环境下基于流量预测的智能交通信号控制优化算法、软件与系统
2023-07-18
Patent
Electronic Resource
Chinese
IPC: | G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS |
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