According to the expressway self-adaptive agglomerate fog early warning and response control method and system, meteorological data and traffic flow data of an expressway are collected in real time, and a reinforcement learning algorithm is utilized to predict a space-time mode of occurrence of agglomerate fog. By calculating the agglomerate fog risk index, if the risk exceeds the standard, the system triggers agglomerate fog early warning and dynamically adjusts the traffic management strategy, so that the driving safety is improved to the maximum extent and the traffic jam is reduced to the maximum extent. The system continuously optimizes decisions through traffic flow and visibility information fed back in real time, realizes adaptive adjustment through reinforcement learning, and adapts to changes under different weather and traffic conditions. The method can accurately predict the occurrence of agglomerate fog, optimizes the traffic flow, reduces the occurrence rate of traffic accidents, improves the passing efficiency and safety of the expressway, and has a wide application prospect.
本发明的高速公路自适应团雾预警与响应控制方法及系统及系统,该方法通过实时采集高速公路的气象数据和交通流量数据,并利用强化学习算法对团雾发生的时空模式进行预测。通过计算团雾风险指数,若风险超标,系统将触发团雾预警并动态调整交通管理策略,以最大程度提高行车安全性和减少交通拥堵。系统通过实时反馈的交通流和能见度信息,不断优化决策,并通过强化学习实现自适应调整,适应不同天气和交通条件下的变化。本发明能够精确预测团雾发生,优化交通流,降低交通事故发生率,提高高速公路的通行效率和安全性,具有广泛的应用前景。
Self-adaptive agglomerate fog early warning and response control method and system for expressway
高速公路自适应团雾预警与响应控制方法及系统
27.06.2025
Patent
Elektronische Ressource
Chinesisch
IPC: | G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS |
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