The invention discloses a composite scene area traffic signal optimization control method, which relates to the technical field of intelligent traffic, and comprises the following steps of: establishing a real-time traffic management control system, collecting real-time traffic data including vehicle flow, speed and congestion condition by using a traffic monitoring camera and a sensor, and performing real-time traffic signal optimization control on the traffic monitoring camera and the sensor; according to the method, the data are preprocessed, cleaned and analyzed to establish comprehensive understanding of traffic conditions, traffic simulation software and models are used to simulate traffic flow conditions of a composite scene area under different traffic scenes, and more accurate traffic information is obtained through machine learning and deep learning technologies. And a more accurate traffic prediction model is established. According to the composite scene area traffic signal optimization control method, traffic flow information in different time periods can be collected, different traffic signal timing schemes can be designed by using the traffic flow information in different time periods, and traffic congestion can be minimized by flexible adjustment according to the time periods.
本发明公开了一种复合场景区域交通信号优化控制方法,涉及智慧交通技术领域,包括以下步骤:建立实时交通管理控制系统,利用交通监测摄像头和传感器收集实时交通数据,包括车辆流量、速度和拥堵情况,对这些数据进行预处理、清洗和分析,以建立对交通情况的全面了解,使用交通仿真软件和模型,模拟不同交通场景下的该复合场景区域交通流动情况,通过机器学习和深度学习技术,获取到更为精准的交通信息,进而建立更准确的交通预测模型。本发明的一种复合场景区域交通信号优化控制方法,能够采集不同时间段的车流量信息,并能够利用不同时间段的车流量信息设计不同的交通信号配时方案,以及根据时间段灵活调整,实现交通拥堵的最小化。
Composite scene area traffic signal optimization control method
一种复合场景区域交通信号优化控制方法
2024-05-17
Patent
Electronic Resource
Chinese
IPC: | G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS |
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