Sripranav, S.Ravi, AkshayGautham, K.Leela Velusamy, R.The status quo in navigation systems is to use real-time traffic detection to determine congestion-free paths and routes vehicles accordingly. However, such a service does not communicate with the traffic signals to regulate the traffic flow. As a result, there is a potential for reducing travel time that is not being leveraged. If the navigation system and the traffic system could communicate and were part of the same feedback loop, traffic systems can take decisions based on the destinations of vehicles queued. Furthermore, traffic signals can detect when certain roads are blocked with vehicles, and prioritize clearing of the blocked roads. Yet another benefit of such a system is that ambulances and government vehicles can be given a higher priority. In this paper, such a feedback loop is implemented on a custom-built simulator to analyze if the average travel time of all the vehicles reduces in the system under various traffic conditions.


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    Titel :

    Smart Traffic Navigation System (STNS) to Reduce Travel Time by Integrating Signals from Navigation and Traffic Systems


    Weitere Titelangaben:

    Smart Innovation, Systems and Technologies


    Beteiligte:
    Zhang, Yu-Dong (Herausgeber:in) / Senjyu, Tomonoby (Herausgeber:in) / SO–IN, Chakchai (Herausgeber:in) / Joshi, Amit (Herausgeber:in) / Sripranav, S. (Autor:in) / Ravi, Akshay (Autor:in) / Gautham, K. (Autor:in) / Leela Velusamy, R. (Autor:in)


    Erscheinungsdatum :

    2020-07-18


    Format / Umfang :

    11 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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