Driving overloaded vehicle causes road infrastructural damages, accidents, air pollution by excessive fuel consumption, and unusual expenses. Measuring the gross weight of a vehicle on a particular road segment without interrupting the traffic flow is a problem worth researching, and its solutions have several economic benefits. This paper proposes an alternative way of finding an overloaded vehicle in motion, by introducing a novel approach in inferring the weight of a vehicle on a road segment using Telematics data and Machine Learning.


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    Title :

    Weigh-in-motion Using Machine Learning and Telematics


    Contributors:


    Publication date :

    2018-07-01


    Size :

    289082 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




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