Traffic congestion and higher average waiting time has been a problem for a very long time. The purpose of this project is to design and implement a traffic system that is adaptive to nature of the traffic in respective lanes. Most of traffic signals are having counters according to which the traffic lights of different lanes get changed one by one. To solve this problem of fixed wait time, counter for any traffic, we proposed this adaptive traffic system which is connected to internet so that different lanes can be monitored constantly. The data obtained from different lanes are examined and controlled by Central Traffic Control Office from one place. Data obtained thus gives value of traffic congestion in particular lane, according to which traffic lights are programmed to work. If the first lane is having less traffic than other lane, then the signal lights will be decided on the basis of less wait time and less pollution. This system also gives idea to drivers to choose the path with less congestion. This system is also useful in emergency and VIP clearance and in traffic survey. This increases the efficiency of traffic clearance. This also reduces pollution and traffic congestion, thus being an Adaptive Traffic Control System using Internet of Things.


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    Titel :

    Internet of Things based adaptive traffic management system as a part of Intelligent Transportation System (ITS)


    Beteiligte:
    Dubey, Ankit (Autor:in) / Lakhani, Mayuri (Autor:in) / Dave, Shivansh (Autor:in) / Patoliya, Jignesh J. (Autor:in)


    Erscheinungsdatum :

    2017-12-01


    Format / Umfang :

    1347438 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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