Abstract A first of its kind, this study develops a framework to quantify the fuel consumption and greenhouse gas emission impacts of an Automated Small Vehicle Transit system on a campus area. The results show that the automated mobility district system has the potential to reduce transportation system fuel consumption and greenhouse gas emissions, but the benefits are largely dependent on the operation and ridership of the personal rapid transit system. Our study calls for more research to understand the energy and environmental benefits of such a system.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    A First-Order Estimate of Automated Mobility District Fuel Consumption and GHG Emission Impacts


    Beteiligte:
    Chen, Yuche (Autor:in) / Young, Stanley (Autor:in) / Qi, Xuewei (Autor:in) / Gonder, Jeffrey (Autor:in)


    Erscheinungsdatum :

    2017-06-29


    Format / Umfang :

    11 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Mobility impacts of automated driving and shared mobility

    Maaike Snelder / Isabel Wilmink / Jeroen van der Gun et al. | DOAJ | 2019

    Freier Zugriff

    Shared Automated Mobility: Early Exploration and Potential Impacts

    Stocker, Adam / Shaheen, Susan | Springer Verlag | 2017


    Skin friction impacts on fuel consumption

    Harun,Z. / Latif,M.F. / Rasani,M.R. et al. | Kraftfahrwesen | 2014


    A Neural Network Model to Estimate Aircraft Fuel Consumption

    Trani, Antonio / Wing-Ho, F. / Schilling, Glen et al. | AIAA | 2004


    Simulating Multi-scaled Impacts of Automated Mobility-on-Demand Services

    Le, Diem-Trinh / Zegras, P. Christopher / Zhou, Meng et al. | IEEE | 2019