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.
|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|
|Number of pages||6|
|Publication status||Published - Oct 2018|
|Event||Interoperability for Enterprise Systems and Applications 2018 - Berlin, Germany|
Duration: 22 Mar 2018 → 23 Mar 2018
|Conference||Interoperability for Enterprise Systems and Applications 2018|
|Abbreviated title||I-ESA 2018|
|Period||22/03/18 → 23/03/18|
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.