SmTIP: A Big Data Intergration Platform for Synchromodal Transport

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

Fingerprint

User interfaces
Decision making
Planning
Big data

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.
Singh, Prince M. ; van Sinderen, Marten ; Wieringa, Roel. / SmTIP : A Big Data Intergration Platform for Synchromodal Transport. Enterprise Interoperability: Smart Services and Business Impact of Enterprise Interoperability. editor / Martin Zelm ; Frank-Walter Jaekel ; Guy Doumeingts ; Martin Wollschlaeger. Wiley, 2018. pp. 187-192
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Singh, PM, 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. Wiley, pp. 187-192, Interoperability for Enterprise Systems and Applications 2018, Berlin, Germany, 22/03/18.

SmTIP : A Big Data Intergration Platform for Synchromodal Transport. / Singh, Prince M.; van Sinderen, Marten; Wieringa, Roel.

Enterprise Interoperability: Smart Services and Business Impact of Enterprise Interoperability. ed. / Martin Zelm; Frank-Walter Jaekel; Guy Doumeingts; Martin Wollschlaeger. Wiley, 2018. p. 187-192.

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

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N2 - 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.

AB - 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.

M3 - Chapter

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BT - Enterprise Interoperability

A2 - Zelm, Martin

A2 - Jaekel, Frank-Walter

A2 - Doumeingts, Guy

A2 - Wollschlaeger, Martin

PB - Wiley

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