Highlights More efficient traffic light preemption strategies and faster medical emergency response can be achieved by having a global view of the city traffic. A traffic light preemption strategy is proposed taking advantage of software defined everything (SDX) concept, namely SD-TLP. SD-TLP takes advantage of a centralized controller and thus improves the preemption performance. SD-TLP achieves a rescue time that is close to optimal while ensuring that its impact on regular city traffic remains reasonably low. Lane-changing mechanisms offer benefits in areas with light city traffic and can serve as a supplementary strategy to SD-TLP.

    Abstract Proper management of rescue operations following an accident is one of the most fundamental challenges faced by today's smart cities. Taking advantage of vehicular communications, in this paper we propose novel mechanisms for the acceleration of the rescue operation resulting in a reduction in fatalities in accidents. We propose a Software-Defined Traffic Light Preemption (SD-TLP) mechanism that enables Emergency Medical Vehicles (EMVs) to travel along the rescue route with minimal interruptions. The SD-TLP makes preemption decisions based on global knowledge of the traffic conditions in the city. We also propose mechanisms for the selection of the nearest emergency center and fast discharge of the route of EMVs. Furthermore, depending on the dynamic traffic conditions on the streets at the time of the accident, an appropriate rescue route is selected for the EMV before its departure. The proposed approach is evaluated using the OMNET++ and SUMO tools over part of the Megacity of Tabriz, Iran. The simulation results demonstrate that the method can reduce the average rescue time significantly. The proposed approach keeps the resulting disruption in city traffic acceptably low while trying to shorten the rescue time as much as possible.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Software-defined traffic light preemption for faster emergency medical service response in smart cities


    Beteiligte:


    Erscheinungsdatum :

    2023-12-11




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Software-Defined Networking for Emergency Traffic Management in Smart Cities

    Nikbakht Bideh, Pegah / Paladi, Nicolae / Hell, Martin | Springer Verlag | 2020


    Emergency vehicle traffic signal preemption system

    Bachelder, Aaron D. / Foster, Conrad F. | NTRS | 2011


    Emergency vehicle traffic signal preemption system

    Bachelder, Aaron D. / Foster, Conrad F. | NTRS | 2005



    SafeSmart 6G: The Future of Emergency Vehicle Traffic Light Preemption

    Duarte, Eduardo Kochenborger / Erneberg, Mikael / de Freitas, Edison Pignaton et al. | IEEE | 2023