The invention relates to the technical field of traffic safety and intelligent traffic systems, in particular to a highway safety early warning system and method based on road condition information lamps, and the system comprises a front-end acquisition subsystem, a deep learning analysis subsystem, a communication and control subsystem and an external service linkage subsystem. The front-end acquisition subsystem acquires real-time traffic data, weather information and video streams through equipment such as a solar road condition information lamp, a high-speed camera, a meteorological sensor and a vehicle detector. And the deep learning analysis subsystem adopts multi-source data fusion, a multi-layer spatial-temporal feature extraction network and a dynamic risk assessment module to realize accurate identification and scoring of traffic risks and generate a corresponding shunting strategy. And the communication and control subsystem realizes real-time control on the front-end warning equipment through the background platform and the data server, and pushes early warning information to a navigation platform, a video monitoring platform and a traffic management department. According to the invention, the probability of secondary accidents is effectively reduced, and the safety and traffic efficiency of the expressway are improved.
本发明涉及交通安全与智能交通系统技术领域,具体而言,涉及一种基于路况情报灯的高速公路安全预警系统与方法,该系统包括前端采集子系统、深度学习分析子系统、通信与控制子系统以及外部服务联动子系统。前端采集子系统通过太阳能路况情报灯、高速摄像机、气象传感器和车检器等设备获取实时交通数据、天气信息及视频流。深度学习分析子系统采用多源数据融合、多层时空特征提取网络和动态风险评估模块,实现对交通风险的精准识别与评分,并生成相应的分流策略。通信与控制子系统通过后台平台与数据服务器实现对前端警示设备的实时控制,并将预警信息推送至导航平台、视频监控平台及交通管理部门。本发明有效降低二次事故发生概率,提高高速公路安全性与通行效率。
Highway safety early warning system and method based on road condition information lamp
一种基于路况情报灯的高速公路安全预警系统和方法
16.05.2025
Patent
Elektronische Ressource
Chinesisch
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