Under the existing loosely distributed sensor environment with heterogeneous data sources, transportation planning and management agencies have found a critical need for the efficient storage, processing, and extraction of network-level information. The emerging practice of cloud computing provides a revolutionary solution for network-level information needs. This paper introduces MapReduce, a distributed computing framework for the design of data-intensive software systems that can manage and manipulate a large volume of data. With a focus on a traffic-oriented, data-intensive application, the researchers designed and implemented a system for the provision of traveler information based on travel time reliability. The system leverages the unified data storage and computing platform provided by the cloud computing architecture.


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    Title :

    Monitoring Travel Time Reliability from the Cloud


    Subtitle :

    Cloud Computing–Based Architecture for Advanced Dissemination of Traffic Information


    Additional title:

    Transportation Research Record: Journal of the Transportation Research Board


    Contributors:
    Lei, Hao (author) / Xing, Tao (author) / Taylor, Jeffrey D. (author) / Zhou, Xuesong (author)


    Publication date :

    2012-01-01




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




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