This study proposes a new approach to improve how emergency vehicles handle traffic. It combines several advanced technologies, including vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communication, along with satellite navigation (global positioning system). Using real-time traffic data: Communication between vehicles (V2V) and roadside infrastructure (V2I) allows the system to constantly collect information on current traffic conditions. This data is then sent to a central server for processing. It also notifies the arrival of emergency vehicles. The attached global positioning system module continuously monitors the emergency vehicle’s precise location, transmitting this data to the cloud backend via the communication module. The cloud backend employs this real-time information to intelligently calculate the most efficient route, considering variables like traffic congestion and road closures. Additionally, the system integrates with traffic signal APIs, ensuring the swift and secure navigation of intersections. By revolutionizing emergency vehicle response times, this system holds the promise of significantly enhancing patient outcomes in critical situations, marking a transformative milestone in emergency medical services.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Optimizing Traffic for Emergency Vehicles—An Improved Data-Driven Approach


    Weitere Titelangaben:

    Lect. Notes Electrical Eng.


    Beteiligte:
    Patnaik, L. M. (Herausgeber:in) / G. K., Ravikumar (Herausgeber:in) / Prasad, N. H. (Herausgeber:in) / Parveen, M. Ayesha (Autor:in) / Trishlaa, S. (Autor:in) / Kee, Tenzin Sonam (Autor:in) / Choeyang, Tenzin (Autor:in) / Meena, Yunidh Kumar (Autor:in) / Prajeesh, C. B. (Autor:in)

    Kongress:

    International Conference on Emerging Research in Computing, Information, Communication and Applications ; 2024 ; Bangalore, India July 17, 2024 - July 19, 2024



    Erscheinungsdatum :

    30.07.2025


    Format / Umfang :

    9 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Optimizing road traffic of emergency vehicles

    Elmandili, Hasnaa / Toulni, Hamza / Nsiri, Benayad | IEEE | 2013


    Traffic advisor for emergency vehicles

    FISHER ERIC | Europäisches Patentamt | 2016

    Freier Zugriff

    Traffic signal coordination for emergency vehicles

    Wenwen Kang / Gang Xiong / Yisheng Lv et al. | IEEE | 2014


    Emergency traffic lighting on trolley vehicles

    Marshall, M. | Engineering Index Backfile | 1944