There is provided a system and method for traffic signal control for an intersection of a traffic network. The method includes: receiving sensor readings including a plurality of physical characteristics associated with vehicles approaching the intersection; discretizing the sensor readings based on a grid of cells; associating a value representing the physical characteristic for each of the cells; generating a matrix associated with the physical characteristic; combining each matrix associated with each of the plurality of physical characteristics as separate layers in a multi-layered matrix; determining, using a machine learning model trained with a traffic control training set, one or more traffic actions with the multi-layered matrix as input, the traffic control training set including previously determined multi-layered matrices for a plurality of traffic scenarios at the intersection; and communicating the one or more actions to the traffic network.


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    Title :

    METHOD AND SYSTEM FOR MULTIMODAL DEEP TRAFFIC SIGNAL CONTROL



    Publication date :

    2021-08-05


    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 / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen



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