Introducing “TRIUMPH II”: Concept of an Intelligent Communication Hub for Multimodal Transport Chains

Andreas Pell, Oliver Schauer, Markus Neundlinger

Research output: Chapter in Book/Report/Conference proceedingsConference contribution

Abstract

This paper should provide insights into the project “TRIUMPH II”, which has the goal to develop a concept of an intelligent communication hub connecting all involved parties in the multimodal transport chain by using new standards of Electronic Data Interchange (EDI-standards).This communication concept, which is capable of connecting all at the port/terminal involved parties and closely linking the stakeholders’ processes, should enable cross-modal process coordination and optimizations in time, flexibility and costs. The whole transport chain is made digitally visible by using automated, EDI-standard based data-access routines and supported by an intelligent clearing service for those, who have the rights to see it. The newly defined information flows and integrated processes are designed to be incorporated as extensions of existing EDI-standards, which will internationally be recognized and implemented via change requests at the international standardisation organisation GS1, which is a part of the project consortium. Austria has the chance to become a nucleus of new or enhanced EDI-standards promoting multimodal transport. Access privileges will be automatically efficiently generated in the background, whereas data access will only be dynamically provided to necessary, transport relevant data – e.g. current positioning data of inbound trucks – without administrative efforts. Furthermore transport infrastructure related data from Intelligent Transport Systems (ITS) – like planned and spontaneous traffic incidents or data of River Information Services (RIS) – can be provided via B2B interfaces. Additionally the communication hub not only serves the purpose of regulated data-clearing and forwarding, but providing intelligent mechanisms, in order to implement workflows and triggering processes by proactive event monitoring at the involved parties. Furthermore the methods of Estimated Time of Arrival (ETA) developed in the predecessoring project “TRIUMPH” will be enhanced in terms of reliability and adaptability. For this reason the actual manual selection of geofences will be automated to achieve a traffic condition-adaptive and self-optimizing system. Combinatorial optimization methods will be integrated, to react on changes within the traffic volumes and the resulting travel times without further interventions. Moreover the quality of prediction (precision) in terms of Estimated Time of Arrival (ETA) will be improved, since advanced (statistical) methods will be used, to extract (hidden) regularities. Effects on processes within the intermodal hub like the reduction of complexity will be examined to achieve an efficiency boost for intermodal transport chains. Due to the reduction of complexity through standardization and the elimination of inefficiencies, a higher information value is achieved, which results in savings of communication and transaction costs, reduced lead times of business processes and vehicle downtimes, prevention of media breaks and erroneous data entries. Therefore TRIUMPH II strongly contributes to the shift towards ship and train by supporting modal decisions by a standardized communication process.
Original languageEnglish
Title of host publicationProceedings of the European Inland Waterway Navigation Conference 2014
Pages380-384
Publication statusPublished - 2014
EventEuropean Inland Waterway Navigation Conference - Budapest, Hungary
Duration: 10 Sept 201412 Sept 2014
http://eiwn.vrht.bme.hu/en

Conference

ConferenceEuropean Inland Waterway Navigation Conference
Country/TerritoryHungary
CityBudapest
Period10.09.201412.09.2014
Internet address

Keywords

  • Communication
  • Multimodality
  • Intermodality
  • Electronic Data Interchange (EDI)
  • Intelligent Transport Systems (ITS)
  • Estimated Time of Arrival
  • Standardization
  • Crossmodal process optimisation

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