This paper addresses the problem of analyzing the effects of partial penetrations of optimally coordinated connected and automated vehicles (CAVs) on fuel consumption and travel time under low, medium, and heavy traffic volumes. We develop a microscopic simulation framework to enhance our understanding of the interactions between human-driven vehicles and CAVs in a merging on-ramp scenario. We show that fuel consumption is adversely affected for medium and high traffic while benefits are realized for travel time under the same traffic conditions. We also show that higher penetrations of CAVs contribute to more stable traffic patterns.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Impact of Partial Penetrations of Connected and Automated Vehicles on Fuel Consumption and Traffic Flow


    Beteiligte:

    Erschienen in:

    Erscheinungsdatum :

    2018-12-01


    Format / Umfang :

    3151669 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Impact of connected and automated vehicles on traffic flow

    Rios-Torres, Jackeline / Malikopoulos, Andreas A. | IEEE | 2017




    Cyberattacks on connected automated vehicles: A traffic impact analysis

    Sun, Zhanbo / Liu, Runzhe / Hu, Haitao et al. | Wiley | 2023

    Freier Zugriff

    Cyberattacks on connected automated vehicles: A traffic impact analysis

    Zhanbo Sun / Runzhe Liu / Haitao Hu et al. | DOAJ | 2023

    Freier Zugriff