Abstract With the hasty expansion of urbanization and the overcrowding of cities, real-time traffic management system is considered to be very crucial for any smart city as it provides comfort, safety, security, and efficient time management to the people. However, while there is an increase of freight volume and the number of vehicles, length of the roads was not increasing adequately. It creates the problem of traffic congestion, prolonging traffic queues and unfortunate incidents like accidents etc leading to huge gridlocks. This issue can be addressed by incorporating smart and intelligent technologies in such a way that the overall traffic management system becomes capable of handling the traffic dynamically. In this paper, we have proposed a distributed approach to make a real time traffic analysis on the highways when an accident occurs. Based on it a smart decision can be taken by a vehicle to reduce the congestion on the lane. We have simulated our approach using the well-known network simulator ns-3.


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    Titel :

    An Intelligent Highway Traffic Management System for Smart City


    Beteiligte:


    Erscheinungsdatum :

    01.01.2019


    Format / Umfang :

    10 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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