SmTIP: A Big Data Intergration Platform for Synchromodal Transport

Prince M. Singh, Marten van Sinderen, Roel Wieringa

    Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

    Abstract

    This chapter reports on the design of an interaction platform that supports the collection and analysis of third-party, real-time data for the dynamic planning of cargo transportation. Especially, flexible allocation of cargo to transplantation modes and routes is targeted, also known as synchromodal transportation. A prototype of the integration platform was developed, including a user interface for planners, to support them in decision-making by providing information about potential disruptions of planned or ongoing shipments. Potential disruptions are detected by analysis of data received from one or more live data sources.
    Original languageEnglish
    Title of host publicationEnterprise Interoperability
    Subtitle of host publicationSmart Services and Business Impact of Enterprise Interoperability
    EditorsMartin Zelm, Frank-Walter Jaekel, Guy Doumeingts, Martin Wollschlaeger
    PublisherWiley
    Chapter23
    Pages187-192
    Number of pages6
    ISBN (Print)9781786303738
    Publication statusPublished - Oct 2018
    EventInteroperability for Enterprise Systems and Applications 2018 - Berlin, Germany
    Duration: 22 Mar 201823 Mar 2018
    http://iesa2018.ipk.fraunhofer.de/4941/

    Conference

    ConferenceInteroperability for Enterprise Systems and Applications 2018
    Abbreviated titleI-ESA 2018
    CountryGermany
    CityBerlin
    Period22/03/1823/03/18
    Internet address

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  • Cite this

    Singh, P. M., van Sinderen, M., & Wieringa, R. (2018). SmTIP: A Big Data Intergration Platform for Synchromodal Transport. In M. Zelm, F-W. Jaekel, G. Doumeingts, & M. Wollschlaeger (Eds.), Enterprise Interoperability: Smart Services and Business Impact of Enterprise Interoperability (pp. 187-192). Wiley.