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.


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    Title :

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


    Additional title:

    Lect. Notes Electrical Eng.



    Conference:

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



    Publication date :

    2025-07-30


    Size :

    9 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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