Increasing demand for urban mobility has contributed to heavy traffic in metro areas, rising transportation costs and travel times. The concept of driverless centrally-controlled electric vehicles has been attracting attention for its potential of minimizing traffic congestion. This study is introducing the tools and methods needed for evaluating the benefits of the concept. An intelligent route planning algorithm, along with a traffic simulation environment, which is coupled to a vehicle performance model have been developed. An interactive graphical tool has been created to showcase the resulting benefits of the concept and to support the conceptual design of energy efficient electric vehicles for centralized large scale operations. The study has identified correlations between a driving environment's traffic density and the potential of relieving the effects of congestion, with considerable travel time, energy and vehicle wear savings attainable.


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    Titel :

    Mobility Analysis of Electric Autonomous Vehicle Networks Driven by Energy-Efficient Rerouting


    Beteiligte:
    Bucsan, George (Autor:in) / Goupilleau, Alex (Autor:in) / Frene, Pierre (Autor:in) / Ishigaki, Masanori (Autor:in) / Iwai, Atsushi (Autor:in) / Lee, Jae Seung (Autor:in) / Pokhrel, Manish (Autor:in) / Balchanos, Michael (Autor:in) / Mavris, Dimitri (Autor:in)


    Erscheinungsdatum :

    2017-06-01


    Format / Umfang :

    1404025 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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