Traffic jams often occur without any obvious reasons such as traffic accidents, roadwork, or closed lanes. Under moderate to high traffic density, minor perturbations to traffic flow (e.g., a strong braking motion) are easily amplified into a wave of stop-and-go traffic. This is known as a phantom jam. In this paper, we aim to mitigate phantom jams leveraging the three-phase traffic theory and vehicle-to-vehicle (V2V) communication. More specifically, an efficient phantom jam control protocol is proposed in which a fuzzy inference system is integrated with a V2V-based phantom jam detection algorithm to effectively capture the dynamics of traffic jams. Per-lane speed difference under traffic congestion is taken into account in the protocol design, so that a phantom jam is controlled separately for each lane, improving the performance of the proposed protocol. We implemented the protocol in the Jist/SWAN traffic simulator. Simulations with artificially generated traffic data and real-world traffic data collected from vehicle loop detectors on Interstate 880, California, USA, demonstrate that our approach has by up to 9% and 4.9% smaller average travel times (at penetration rates of 10%) compared with a state-of-the-art approach, respectively.


    Zugriff

    Zugriff über TIB

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Toward Mitigating Phantom Jam Using Vehicle-to-Vehicle Communication




    Erscheinungsdatum :

    2017




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Print


    Sprache :

    Englisch



    Klassifikation :

    BKL:    55.84 / 55.24 / 55.84 Straßenverkehr / 55.24 Fahrzeugführung, Fahrtechnik



    Toward Mitigating Phantom Jam Using Vehicle-to-Vehicle Communication

    Won, Myounggyu / Park, Taejoon / Son, Sang H. | IEEE | 2017


    IDENTIFYING AND MITIGATING VEHICLE ODORS

    MACNEILLE PERRY ROBINSON / SCHEIN VICTORIA LEIGH / YEUNG JEFFREY BRIAN et al. | Europäisches Patentamt | 2021

    Freier Zugriff

    Mitigating manipulation of vehicle software

    NOBBE CHRISTIAN / HALACZEK FRANK / GRAF JENS et al. | Europäisches Patentamt | 2023

    Freier Zugriff

    Mitigating manipulation of vehicle software

    JAUSS MICHAEL / HALACZEK FRANK / KORNEB MICHAEL | Europäisches Patentamt | 2023

    Freier Zugriff

    Mitigating manipulation of vehicle software

    KORNEB MICHAEL / HALACZEK FRANK / JAUSS MICHAEL | Europäisches Patentamt | 2023

    Freier Zugriff