Usage of automated controllers which make decisions on an environment are widespread and are often based on black-box models. We use Knowledge Compilation theory to bring explainability to the controller’s decision given the state of the system. For this, we use simulated historical stateaction data as input and build a compact and structured representation which relates states with actions. We implement this method in a Traffic Light Control scenario where the controller selects the light cycle by observing the presence (or absence) of vehicles in different regions of the incoming roads.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Explainability of Intelligent Transportation Systems using Knowledge Compilation: a Traffic Light Controller Case




    Erscheinungsdatum :

    20.09.2020


    Format / Umfang :

    518946 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Intelligent Traffic Light Controller (I-TLC) system

    Banerjee, Apoorva | DataCite | 2024


    CASE FOR TRAFFIC LIGHT CONTROLLER

    TAKAGI RIKA | Europäisches Patentamt | 2022

    Freier Zugriff

    CASE FOR TRAFFIC LIGHT CONTROLLER

    TAKAGI RIKA | Europäisches Patentamt | 2022

    Freier Zugriff

    Intelligent traffic light system suitable for underground transportation

    ZHAO WENJIAN / GAO MINGHUA / LU SHIPING et al. | Europäisches Patentamt | 2015

    Freier Zugriff

    Intelligent traffic controller

    YU HUI / YU RAN / LUO XU et al. | Europäisches Patentamt | 2023

    Freier Zugriff