Several traffic evaluation and congestion detection protocols have been proposed in the literature for the vehicular networks. These protocols gather and analyze the basic traffic data of all traveling vehicles at each area of interest to obtain the vehicular traffic evaluations. All vehicles should be equipped by wireless transceiver in order to send and receive the packets of their traffic data individually. In general, the accuracy of typical traffic evaluation protocols depends mainly on the correctness and the quantity of the gathered data. In this paper, we propose an intelligent vehicular traffic prediction protocol (ITP) that estimates the traffic characteristics of each road segment in urban areas. ITP requires the basic traffic data of only some vehicles traveling on the investigated road segment. It then uses the gathered data to predict traffic characteristics of that road segment. The paper also investigates the minimum number vehicles that should participate broadcasting their data in order to obtain accurate traffic evaluation of the investigated road segment. From the experimental results, we can infer that the ITP protocol predicts an accurate level of the traffic evaluation when 25% of the traveling vehicles or more are equipped by wireless transceivers.


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    Title :

    An intelligent vehicular traffic prediction (ITP) protocol


    Contributors:


    Publication date :

    2015-10-01


    Size :

    302334 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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