Vehicles must be able to travel freely on the road, which involves the use of traffic signals. The duration of these traffic signals is predefined and constant irrespective of the road traffic scenario. The fixed length of signal timings and the carelessness with which emergency vehicles are handled during scheduling are the main contributors to traffic problems. This paper proposed a Dynamic Traffic Emergency Scheduling(DTES) algorithm for a four lane intersection. The YOLO object detection model is used to identify the emergency vehicles as well as normal vehicles present on the road. The suggested heuristic takes into account the density, waiting time of the normal vehicles along with prioritizing any occurrences of emergency vehicles in the lanes. The results demonstrate that the DTES algorithm is able to reduce the average waiting time and is able to optimize the green signal timings while focusing on emergency vehicles.


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    Titel :

    Dynamic Traffic Scheduling Using Emergency Vehicle Detection


    Beteiligte:


    Erscheinungsdatum :

    25.11.2022


    Format / Umfang :

    502410 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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