The prompt and effective operation of Emergency Vehicles (EVs) such as ambulances, fire engines, and law enforcement vehicles is crucial for life-saving interventions and property protection. Although prioritized, EVs frequently encounter substantial delays at intersections, obstructing their swift movement. This study presents a Real-Time Emergency Vehicle Priority Management (RT-EVPM) system, leveraging the Internet of Vehicles (IoV), 5G connectivity, and V2X communication. By employing a rule-based algorithm and utilizing real-time data, this system dynamically adjusts traffic signals and reconfigures vehicle lanes. The RT-EVPM system achieved significant reductions, with average travel times cut by 34 %, waiting times per kilometer reduced by 64 %, waiting counts by 63 %, and time loss per kilometer by $\mathbf{5 8 \%}$. These results underscore the RTEVPM system's potential to substantially improve urban traffic management and the efficiency of emergency responses.


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    Title :

    Real-Time Emergency Vehicles Priority Management System in a Connected Urban Environment


    Contributors:


    Publication date :

    2024-11-03


    Size :

    818242 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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