The invention belongs to the technical field of intelligent traffic management, and discloses an intelligent traffic management system based on multi-scene recognition and adaptive dispersion. Comprising the following steps: collecting accident video information, extracting and analyzing accident vehicle and personnel information based on a YOLOv5 model, and combining accident feature information and an accident type number sequence to construct different deep learning models which are respectively used for predicting damage/casualty evaluation values of accident vehicles and personnel in real time and identifying the accident type number sequence. The unmanned aerial vehicle participates in the accident evacuation process according to the accident type patient sequence identified in real time and a preset corresponding evacuation scheme and instruction, displays the accident type to both parties of the accident and provides an intelligent mediation instruction and responsibility determination service; if the two parties of the accident doubt the intelligent mediation instruction, the instruction is handled manually by a traffic management department.

    本发明属于智能交通管理技术领域,本发明公开了一种基于多场景识别与自适应疏导的智能交通管理系统;包括:通过收集事故视频信息与基于YOLOv5模型对事故车辆和人员信息进行提取分析,结合事故特征信息以及事故类型编号序列,构建不同的深度学习模型,分别用于实时预测事故车辆和人员的损毁/伤亡评估值,以及识别事故类型编号序列。无人机根据实时识别的事故类型病号序列以及预设相应的疏导方案和指令,参与事故疏导过程,向事故双方展示事故类型并提供智能调解指令和定责服务;若事故双方质疑智能调解指令,则交由交通管理部门人工处理。


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    Title :

    Intelligent traffic management system based on multi-scene recognition and self-adaptive dispersion


    Additional title:

    一种基于多场景识别与自适应疏导的智能交通管理系统


    Contributors:
    CUI YUAN (author) / LI ZIHAO (author)

    Publication date :

    2025-05-06


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Chinese


    Classification :

    IPC:    G06V / G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS



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