Technologies are described to provide control of traffic signals based at least in part on multiple Q-learning categories. In some examples, a method may include clustering historical traffic data into multiple traffic pattern clusters, and generating multiple Q-learning categories, where each Q-learning category corresponds to a traffic pattern cluster of the multiple traffic pattern clusters. The method may also include determining a first Q-learning category of the multiple Q-learning categories to use in controlling traffic signals at an intersection based at least in part on a first traffic data of the intersection, where the first Q-learning category corresponds to a first traffic pattern cluster, and the first traffic data corresponds to the first traffic pattern cluster. The method may additionally include generating a first control action for the traffic signals at the intersection based at least in part on the first Q-learning category.


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    Title :

    TRAFFIC SIGNAL CONTROL USING MULTIPLE Q-LEARNING CATEGORIES


    Additional title:

    VERKEHRSSIGNALSTEUERUNG MITHILFE MEHRERER Q-LEARNING-KATEGORIEN
    COMMANDE DE SIGNAL DE CIRCULATION UTILISANT DE MULTIPLES CATÉGORIES DE Q-LEARNING


    Contributors:
    LIU YING (author) / LIU LEI (author) / CHEN WEI-PENG (author)

    Publication date :

    2020-03-25


    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



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    LIU YING / LIU LEI / CHEN WEI-PENG | European Patent Office | 2019

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    LIU YING / LIU LEI / CHEN WEI-PENG | European Patent Office | 2019

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