Disclosed herein are systems and methods for controlling traffic lights according to predicted traffic patterns, comprising receiving one or more image sequence comprising a plurality of images captured by one or more imaging sensor deployed to monitor vehicle traffic in one or more intersection in which traffic light(s) is deployed to control traffic flow, generating a traffic dataset descriptive of time series movement of all vehicles tracked in the image sequence(s), applying a first trained machine learning model to map, based on the traffic dataset, a traffic pattern of the tracked vehicles to one or more of a plurality of learned traffic patterns, applying a second trained machine learning model to predict one or more subsequent traffic patterns based on the mapped traffic pattern, and generating instructions for controlling the traffic light(s) according to the predicted subsequent traffic pattern(s).


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    Title :

    TRAFFIC LIGHT CONTROL BASED ON TRAFFIC PATTERN PREDICTION


    Contributors:
    KENIG DVIR (author) / BRAUNER AHARON (author) / GEVA AMIR B (author) / STRUGO ELIYAHU (author)

    Publication date :

    2024-10-24


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    English


    Classification :

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



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