This paper presents a method of estimating traffic density on a highway/freeway from cellular network data. The speed of the traffic is calculated/ measured from the cellular network communication between the vehicles and the network. The model for estimating the density from the speed is developed from the cellular data. The results are then validated through the one-equation partial differential equation dynamics for the traffic density.


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    Title :

    Prediction of traffic density from wireless cellular data


    Contributors:


    Publication date :

    2016-11-01


    Size :

    411451 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




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