The invention relates to the field of traffic control methods for road vehicles, in particular to a method for monitoring and predicting traffic jam induced by a specific sudden aggregation event in real time, which comprises the following steps: acquiring historical traffic data, data when a specific event occurs and real-time monitoring data; on the basis of open roads, an unmanned aerial vehicle is used for aerial photography of images to collect high-resolution map data, a geographic information system tool is used for processing the collected map data, including extraction and modeling of information such as road networks, terrains and buildings, and a virtual environment is used for constructing an abstracted and parameterized real scene; inputting real-time monitoring data into the trained deep learning model, updating a prediction result in real time, and providing real-time traffic jam prediction information; and sending the real-time traffic jam prediction to a management end for display. According to the method, through real-time data capture, it is ensured that the system has timeliness and comprehensiveness in event perception; and the prediction result of the traffic jam is more accurate and accords with the actual situation.
本发明涉及道路车辆的交通控制方法领域,具体涉及一种实时监控预测特定突发聚集事件诱发交通拥堵的方法,包括:获取历史交通数据、特定事件发生时的数据以及实时监控数据;以公开道路为基础,使用无人机航拍影像对高分辨率地图数据进行采集,利用地理信息系统工具对采集到的地图数据进行处理,包括道路网络、地形、建筑物等信息的提取和建模,利用虚拟环境构建抽象化和参数化的真实场景;将实时监控数据输入训练好的深度学习模型,实时更新预测结果,并提供实时的交通拥堵预测信息;将实时的交通拥堵预测发送至管理端进行显示。本发明通过数据实时捕获,确保系统对事件的感知具有及时性和全面性;交通拥堵的预测的结果更准确并符合实际情况。
Method for monitoring and predicting traffic jam induced by specific sudden aggregation event in real time
一种实时监控预测特定突发聚集事件诱发交通拥堵的方法
2024-09-06
Patent
Electronic Resource
Chinese
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