TRAFFIC LIGHT CONTROL BASED ON TRAFFIC PATTERN PREDICTION

    公开(公告)号:US20240355200A1

    公开(公告)日:2024-10-24

    申请号:US18687333

    申请日:2022-08-30

    CPC classification number: G08G1/07 G06V10/774 G06V20/54 G08G1/0145 G06V2201/08

    Abstract: 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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