A system and a method for automatically identifying and classifying traffic and road events, by collecting metrics regarding one or more monitored vehicles from at least one of: a plurality of stationary traffic sensors installed on or proximate to a discrete segment of a road; traffic monitoring infrastructure; and, one or more connected vehicles. The system and a method are further to determine a position and a speed of each monitored vehicle per discrete segment in each lane of said road; and, identify, classify and localize one or more traffic and road events on said road. The identifying and classifying includes the steps of: training one or more machine learning algorithms to derive traffic and road events; and, associating, using said one or more machine learning algorithms, one or more observed traffic and road events with a known class of traffic and road events.


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    Title :

    Traffic event and road condition identification and classification


    Publication date :

    2019-08-21


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    English



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