SmTIP: A Big Data Intergration Platform for Synchromodal Transport

Prince M. Singh; Marten van Sinderen; Roel Wieringa

SmTIP: A Big Data Intergration Platform for Synchromodal Transport

Prince M. Singh
, Marten van Sinderen
, Roel Wieringa

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-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 language	English
Title of host publication	Enterprise Interoperability
Subtitle of host publication	Smart Services and Business Impact of Enterprise Interoperability
Editors	Martin Zelm, Frank-Walter Jaekel, Guy Doumeingts, Martin Wollschlaeger
Publisher	Wiley
Chapter	23
Pages	187-192
Number of pages	6
ISBN (Print)	9781786303738
Publication status	Published - Oct 2018
Event	Interoperability for Enterprise Systems and Applications, I-ESA 2018 - Berlin, Germany Duration: 22 Mar 2018 → 23 Mar 2018 http://iesa2018.ipk.fraunhofer.de/4941/

Conference

Conference	Interoperability for Enterprise Systems and Applications, I-ESA 2018
Abbreviated title	I-ESA
Country/Territory	Germany
City	Berlin
Period	22/03/18 → 23/03/18
Internet address	http://iesa2018.ipk.fraunhofer.de/4941/

Cite this

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title = "SmTIP: A Big Data Intergration Platform for Synchromodal Transport",

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.",

author = "Singh, \{Prince M.\} and \{van Sinderen\}, Marten and Roel Wieringa",

year = "2018",

month = oct,

language = "English",

isbn = "9781786303738",

pages = "187--192",

editor = "Martin Zelm and Frank-Walter Jaekel and Guy Doumeingts and Martin Wollschlaeger",

booktitle = "Enterprise Interoperability",

publisher = "Wiley",

address = "United States",

note = "Interoperability for Enterprise Systems and Applications, I-ESA 2018, I-ESA ; Conference date: 22-03-2018 Through 23-03-2018",

url = "http://iesa2018.ipk.fraunhofer.de/4941/",

}

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, I-ESA 2018, Berlin, 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 proceeding › Chapter › Academic › peer-review

TY - CHAP

T1 - SmTIP

T2 - Interoperability for Enterprise Systems and Applications, I-ESA 2018

AU - Singh, Prince M.

AU - van Sinderen, Marten

AU - Wieringa, Roel

PY - 2018/10

Y1 - 2018/10

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

SN - 9781786303738

SP - 187

EP - 192

BT - Enterprise Interoperability

A2 - Zelm, Martin

A2 - Jaekel, Frank-Walter

A2 - Doumeingts, Guy

A2 - Wollschlaeger, Martin

PB - Wiley

Y2 - 22 March 2018 through 23 March 2018

ER -

SmTIP: A Big Data Intergration Platform for Synchromodal Transport

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