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.
Road traffic incident detection method, system and device based on small sample learning
05.08.2025
Patent
Elektronische Ressource
Englisch
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