The invention belongs to the technical field of expressway road network safety situation analysis, and discloses an expressway road network safety situation analysis system and method based on AI video analysis. The expressway road network safety situation analysis system based on AI video analysis comprises a road network video monitoring module, a road network flow detection module, a driving speed detection module, a central control module, a monitoring layout optimization module, a video identification module, a road network congestion monitoring module, a traffic efficiency calculation module, a safety evaluation module and a display module. According to the invention, monitoring without dead angles is realized through the monitoring layout optimization module; meanwhile, the automatic sensing, comprehensive sensing and accurate sensing of various traffic jams can be realized through the road network congestion monitoring module. Compared with a traditional mode traffic jam recognition technology, the method has great breakthrough in recognition accuracy, recognition efficiency and recognition performance.

    本发明属于高速公路路网安全态势分析技术领域,公开了一种基于AI视频分析的高速公路路网安全态势分析系统、方法,基于AI视频分析的高速公路路网安全态势分析系统包括:路网视频监控模块、路网流量检测模块、行驶速度检测模块、中央控制模块、监控布局优化模块、视频识别模块、路网拥堵监测模块、通行效率计算模块、安全评估模块、显示模块。本发明通过监控布局优化模块实现监控无死角;同时,通过路网拥堵监测模块可以实现各类交通拥堵的自动感知、全面感知、精准感知。相对于传统的模式交通拥堵识别技术来讲,本发明能够在识别准确率,识别效率与识别性能上有极大的突破。


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    Title :

    Expressway road network safety situation analysis system and method based on AI video analysis


    Additional title:

    基于AI视频分析的高速公路路网安全态势分析系统、方法


    Contributors:

    Publication date :

    2021-05-14


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Chinese


    Classification :

    IPC:    G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS / H04N PICTORIAL COMMUNICATION, e.g. TELEVISION , Bildübertragung, z.B. Fernsehen



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