This paper presents the outline of an integrated road roughness monitoring system and illustrates its proper functioning with data collected from a large community. The originality of the proposed crowd-sensing system is the extraction of relevant information from uncalibrated smartphones. By not imposing any stringent measurement protocol on users, partner apps of the project continuously provide a stream of roughness measures from daily travels. This ensures a large scale collection of data. Combined with mobility detection algorithms, the system monitors the degradation of roads from a multi-modal standpoint. Combined with traffic monitoring, this system offers a key tool to help decision makers in charge of public road networks.


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    Titel :

    Road Roughness Crowd-Sensing with Smartphone Apps


    Beteiligte:
    Jean, Maxime (Autor:in) / Chasse, Alexandre (Autor:in) / Beng, William (Autor:in)


    Erscheinungsdatum :

    01.10.2019


    Format / Umfang :

    3039370 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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