Emergency response vehicles’ (ERVs) travel is risky, as non-ERV drivers are often unsure of the ERV’s next maneuver and how to facilitate its movement. An integer linear program (ILP), introduced in this paper, facilitates the ERV’s movement through a transportation link. Leveraging vehicle-to-vehicle communications, information is collected about vehicles on a link section. Then, the ILP finds the ERV’s fastest intra-link path. To increase safety, the ILP assigns non-ERVs locations as far away from the ERV as possible while avoiding passing and weaving among vehicles. The ILP can be adapted to different ERV sizes, road types, and surrounding conditions. Sensitivity analysis indicated that scenarios with narrower road segments and higher numbers of non-ERVs led to ERV paths with lane changes and higher computation times. When compared with the current practice requiring non-ERVs to move to the nearest road edge when an ERV with lights and sirens is noticed, the proposed formulation improved the ERV speed while reducing the conflicts and confusion experienced by downstream vehicles.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Facilitating Emergency Response Vehicles’ Movement Through a Road Segment in a Connected Vehicle Environment


    Beteiligte:


    Erscheinungsdatum :

    01.09.2019


    Format / Umfang :

    3162410 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Sequential Optimization of an Emergency Response Vehicle’s Intra-Link Movement in a Partially Connected Vehicle Environment

    Hannoun, Gaby Joe / Murray-Tuite, Pamela / Heaslip, Kevin et al. | Transportation Research Record | 2021


    METHOD OF FACILITATING MOVEMENT OF VEHICLES

    TSYBROV ALEKSANDR JUREVICH / TSYBROV ARTEM ALEKSANDROVICH | Europäisches Patentamt | 2016

    Freier Zugriff



    Signal Priority Request Delay Modeling and Mitigation for Emergency Vehicles in Connected Vehicle Environment

    Li, Jiangchen / Qiu, Chen / Peng, Liqun et al. | Transportation Research Record | 2018