Automated driving offers excellent opportunities for ecology, economy as well as society. Especially in urban intersections, there is a considerable margin for benefits in these sectors. This work takes a structured simulation approach to find answers on the benefit of additional information about surrounding objects of automated vehicles provided by roadside ITS stations to utilize collective perception. We are using advanced sub-microscopic 3D hardware in the loop simulation framework to generate data based on which we can achieve reliable conclusions. Our simulation data set, consisting of 400 simulation iterations, suggests that automated vehicles greatly benefit from collective perception. A lack of roadside ITS station support might lead to a disruptive impact of automated vehicles on the macroscopic traffic flow of urban road networks. If roadside collective perception is introduced to the problem, maneuver time is reduced, and traffic efficiency is increased by 19.8% on average.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Roadside Infrastructure Support for Urban Automated Driving


    Beteiligte:

    Erschienen in:

    Erscheinungsdatum :

    01.10.2023


    Format / Umfang :

    1940008 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Designing a Roadside Sensor Infrastructure to Support Automated Driving

    Geissler, Florian / Kohnert, Soren / Stolle, Reinhard | IEEE | 2018


    Influence of Roadside Infrastructure on Driving Behavior

    van der Horst, Richard / de Ridder, Selma | Transportation Research Record | 2007




    DRIVING SUPPORT APPARATUS, DRIVING SUPPORT SYSTEM, AND ROADSIDE DEVICE

    HANAI TAKAMASA / MUTO KENJI / TAKASAO DAISUKE | Europäisches Patentamt | 2017

    Freier Zugriff