Traffic congestion has become a major problem in every large city of the world. To ensure a reliable transportation system it is important to have an intelligent traffic control system. The very first step to do that is to acquire traffic data. Traffic data may be acquired from different methods. However in recent days image processing techniques has been very important and promising topic to deal with traffic related problems because of its ease of maintenance and being more intelligent system. Most of the work detects edge of the vehicles and counts the number of traffic on the road. The disadvantage of the method is that counting the number of vehicles may give faulty results when space between the vehicles on the road are very small (i.e. two cars very close to each other may be counted as one vehicle). In this the proposed method firstly, compute the amount of area occupied by vehicles on the road rather than finding number of vehicles. The greater the amount of area occupied by vehicles on the road the greater the amount of traffic congestion. This way every kind of vehicles can be accounted for traffic density. Using this traffic data, the proposed model automatically controls the traffic signalling in a sequential manner depending on the amount of traffic on the road.


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    Title :

    Intelligent traffic signaling system


    Contributors:


    Publication date :

    2017-03-01


    Size :

    369449 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




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