Traffic oscillations on freeways are one of the most important causes of low vehicle energy efficiency, and they result in a large amount of vehicular emissions and high risk of incidents. Most existing studies of freeway eco-driving either focused on one-lane roads or relies on high market penetration rates of connected vehicles, which are not realistic for the early-stage development of connected vehicles. This paper develops an advanced vehicle control system with connected vehicles to mitigate freeway traffic oscillations. This system is able to work for smoothing traffic oscillations on multi-lane freeways with a small number of connected vehicles. It applies the connected vehicles to capture freeway traffic oscillations based on their trajectory information, and a variable speed limit control system is implemented on the connected vehicles to adjust over-passing volumes so as to mitigate downstream traffic oscillations. A mathematical model is proposed to analyze the effect of the system on mitigating traffic oscillations under freeways with multiple lanes. In addition, the system is implemented in both macroscopic and microscopic simulations to understand its benefits on smoothing traffic oscillations along freeway segments and increasing energy efficiency.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Multi-lane Freeway Oscillation Mitigation at Early-Stage Development of Connected Vehicles


    Beteiligte:
    Yang, Hao (Autor:in) / Oguchi, Ken (Autor:in)


    Erscheinungsdatum :

    01.06.2019


    Format / Umfang :

    2153737 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    MULTI-LANE FREEWAY OSCILLATION MITIGATION AT EARLY-STAGE DEVELOPMENT OF CONNECTED VEHICLES

    Yang, Hao / Oguchi, Ken | British Library Conference Proceedings | 2019


    Multi-lane-merging strategy for connected automated vehicles on freeway ramps

    Luo, Xiaoling / Li, Xiaofeng / Razaur Rahman Shaon, Mohammad et al. | Taylor & Francis Verlag | 2023


    Estimating Freeway Lane-Level Traffic State with Intelligent Connected Vehicles

    Liu, Xiaobo / Zhang, Ziming / Miwa, Tomio et al. | Transportation Research Record | 2022


    Gap setting control strategy for connected and automated vehicles in freeway lane‐drop bottlenecks

    Sungyong Chung / Dongju Ka / Yongju Kim et al. | DOAJ | 2024

    Freier Zugriff

    Gap setting control strategy for connected and automated vehicles in freeway lane‐drop bottlenecks

    Chung, Sungyong / Ka, Dongju / Kim, Yongju et al. | Wiley | 2024

    Freier Zugriff