Recently, there has been growing interest in monitoring the road traffic data. Most of the work focused on real-time traffic data. In this paper, we propose an Extrac system which extracts trend of traffic congestions from historical traffic data and answers the queries about the trends. In Extrac system, we first convert the historical traffic data into traffic patterns then summarize it by applying MapReduce style algorithms. These traffic patterns are store into a NoSQL database. Our implementation demonstrates the feasibility of Extrac for querying traffic information and generating the result.


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    Title :

    Extracting Trends of Traffic Congestion Using a NoSQL Database


    Contributors:


    Publication date :

    2014-12-01


    Size :

    509206 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English