Left turns are known to be one of the most dangerous driving maneuvers. An effective way to mitigate this safety risk is to install a left-turn enforcement—for example, a protected left-turn signal or all-way stop signs—at every turn that preserves a traffic phase exclusively for left turns. Although this protection scheme can significantly increase the driving safety, information on whether or not a road segment (e.g., intersection) has such a setting is not yet available to the public and navigation systems. This disclosure presents a system that exploits mobile crowdsensing and deep learning to classify the protection settings of left turns.


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    Title :

    INFERRING LEFT-TURN INFORMATION FROM MOBILE CROWDSENSING


    Additional title:

    ABLEITEN VON LINKSABBIEGER-INFORMATIONEN AUS DER MOBILEN ERFASSUNG VON MENSCHENMENGEN
    DÉDUCTION D'INFORMATIONS DE TOURNE-À-GAUCHE À PARTIR DE MÉGACOLLECTE


    Contributors:
    SHIN KANG G (author) / CHEN DONGYAO (author)

    Publication date :

    2023-09-27


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    English


    Classification :

    IPC:    G01C Messen von Entfernungen, Höhen, Neigungen oder Richtungen , MEASURING DISTANCES, LEVELS OR BEARINGS / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS



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