Provided are a road traffic incident detection method, system and device based on small sample learning. According to the invention, traffic flow data and incident data are utilized to construct non-incident samples by a case contrast study method, traffic flow feature indexes are extracted to construct incident and non-incident sample feature sets, then sample division and pairing are performed on the feature sets to obtain training and test sample pair sets, a traffic incident detection model is constructed by adopting a twin network architecture in small sample learning, and the model is trained and tested by a sample pair mode. The invention is conductive to accurately detecting accidental traffic incidents, and providing supports for avoiding secondary accidents and improving the traffic safety level.


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    Titel :

    Road traffic incident detection method, system and device based on small sample learning


    Beteiligte:
    JIN SHENG (Autor:in) / BAI CONGCONG (Autor:in) / JING JUN (Autor:in) / JIANG YANG (Autor:in) / GUO WENTONG (Autor:in) / ZHOU MENGTAO (Autor:in)

    Erscheinungsdatum :

    05.08.2025


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Englisch


    Klassifikation :

    IPC:    G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS



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