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Information Technology Used in Intermodal and Multimodal Transport

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Development of Smart Context-Aware Services for Cargo Transportation

Part of the book series: International Series in Operations Research & Management Science ((ISOR,volume 330))

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Abstract

Hardware (special transport units, specific unit freight and intermodal terminals with specialized equipment) is needed first of all for intermodal transport to operate. It is also important to have sophisticated information and management software to monitor the various stages of intermodal transport and to process additional information efficiently. Finally, intermodal transport requires human resources, highly qualified experts who organize, control, and manage all stages of the intermodal transport process.

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References

  • Baublys, A. (2007). Transporto rūšių sąveika. Technika.

    Book  Google Scholar 

  • Bock, F. (2010). Real-time control of freight forwarder transportation networks by integrating multimodal transport chains. European Journal of Operational Research, 200(3), 733–746.

    Article  Google Scholar 

  • Boris, J., & Bureika, G. (2017). Lietuvos intermodalinių terminalų veiklos vertinimas. 20-osios jaunųjų mokslininkų konferencijos „Mokslas – Lietuvos ateitis“ teminės konferencijos. http://jmk.transportas.vgtu.lt/index.php/tran2017/tran2017/paper/viewFile/119/143

  • Boschian, V., Dotoli, M., Fanti, M. P., Iacobellis, G., & Ukovich, W. (2011). A metamodelling approach to the management of intermodal transportation networks. IEEE Transactions on Automation Science and Engineering, 8(3), 457–469.

    Article  Google Scholar 

  • Caris, A., Macharis, C., & Janssens, G. K. (2008). Planning problems in intermodal freight transport: Accomplishments and prospects. Transportation Planning and Technology, 31(3), 277–302.

    Article  Google Scholar 

  • CHINOS. (2009). Deliverable D0.4 Final report. European Commission.

    Google Scholar 

  • Choi, J. Y. (2011). A survey of single window implementation. World Customs Organization Research paper No. 17. Accessed June 12, 2020, from http://www.wcoomd.org/en/topics/research/activities-and-programmes/~/media/2DF5A36D3ECA46CCB7B17BDF77ACC021.ashx

  • Coronado, A. E., Lalwani, C. S., Coronado, E. S., & Coronado, C. E. (2009). Facilitating multimodal logistics and enabling information systems connectivity through wireless vehicular networks. International Journal of Production Economics, 122(1), 229–240.

    Article  Google Scholar 

  • D2D. (2005). D2D: Demonstration of an integrated management and communication system for door-to-door intermodal freight transport operations. Final Technical Report. Accessed September 2, 2021, from http://www.transport-research.info/Upload/Documents/200607/20060727_143636_83260_D2D_Final_Report.pdf

  • Dotoli, M., Hammadi, S., Jeribi, K., Russo, C., & Zgaya, H. (2013). A multi-agent decision support system for optimization of co-modal transportation route planning services. Proceedings of the 52nd IEEE CDC (Conference on Decision and Control), Florence, Italy, December 10–13.

    Google Scholar 

  • Dotoli, M., Fanti, M., Mangini, A., Stecco, G., & Ukovich, W. (2010). The impact of ICT on intermodal transportation systems: A modelling approach by Petri nets. Control Engineering Practice, 18(8), 893–903.

    Article  Google Scholar 

  • Dullaert, W., Neutens, T., Vanden, G., Berghe, T., Vermeulen, B., Vernimmen, F., & Witlox. (2009). MamMoeT: An intelligent agent-based communication support platform for multimodal transport. Expert Systems with Applications, 36(7), 10280–10287.

    Article  Google Scholar 

  • EC. (2011). European Commission. Roadmap to a Single European Transport Area – Towards a competitive and resource efficient transport system. Accessed July 25, 2021, from http://eur-lex.europa.eu/LexUriServ/LexUriServ.do?uri=COM:2011:0144:FIN:EN:PDF

    Google Scholar 

  • e-FREIGHT. (2011). e-Freight: European e-Freight capabilities for co-modal transport. Accessed March 1, 2021, from http://www.efreightproject.eu

    Google Scholar 

  • European Commission: Communication from the Commission COM. (2007). The EU’s freight transport agenda: Boosting the efficiency, integration and sustainability of freight transport in Europe. 606 final, p. 4.

    Google Scholar 

  • European Commission: White Paper, Roadmap to a Single European Transport Area, COM. (2011). 144 final, p. 2ff.

    Google Scholar 

  • Evangelista, P., & Sweeney, E. (2006). Technology usage in the supply chain: The case of small 3PLs. International Journal of Logistics Management, 17(1), 55–74.

    Google Scholar 

  • F-MAN. (2005). F-MAN: Rail car asset management. Deliverable D16: Final report. Accessed January 15, 2020, from http://www.transport-research.info/Upload/Documents/200604/20060411_172123_25402_F-MAN%20Final%20Report.pdf

  • Giannopoulos, G. A. (2004). The application of information and communication technologies in transport. European Journal of Operational Research, 152(2), 302–320.

    Article  Google Scholar 

  • GIFTS. (2004). GIFTS: Global Intermodal Freight Transport System. Deliverable D03. User needs identification and analysis. Accessed August 21, 2021, from http://gifts.newapplication.it/gifts/project_deliverables/public/GIFTS-REP-D03-1_0.zip

  • Grieger, M. (2003). Electronic marketplaces: A literature review and a call for supply chain management research. European Journal of Operational Research, 144(2), 280–294.

    Article  Google Scholar 

  • Gurnak, V., Khomenko, I., & Volynets, L. (2018). Mperatives of multimodal transport development in accordance with the tendencies of the transformational changes of the national economy in the conditions of europeanintegration. Economics. Ecology. Socium, 2(1). http://www.ees-journal.com/index.php/journal/article/view/52/23

  • Harris, I., Wang, Y., & Wang, H. (2015). ICT in multimodal transport and technological trends: Unleashing potential for the future. International Journal of Production Economics, 159, 88–103, . ISSN 0925-5273. https://doi.org/10.1016/j.ijpe.2014.09.005

    Article  Google Scholar 

  • Hollenstein, H. (2004). Determinants of the adoption of information and communication technologies (ICT): An empirical analysis based on firm-level data for the Swiss business sector. Structural Change and Economic Dynamics, 15(3), 315–342.

    Article  Google Scholar 

  • INFOLOG. (1999). Final report. Accessed March 3, 2021, from https://trimis.ec.europa.eu/sites/default/files/project/documents/infolog.pdf

  • INTEGRITY. (2011). INTEGRITY: Intermodal global door-to-door container supply chain visibility: FP7 project. Deliverable D0.3. Final report. Accessed January 20, 2021, from http://www.integrity-supplychain.eu/

  • Jakobs, K., Pils, C., & Wallbaum, M. (2001). Using the internet in transport logistics – the example of a track and trace system. Lecture Notes in Computer Science, 2093, 194–203.

    Article  Google Scholar 

  • Jankauskaitė, A. (2010). Jūrų transporto ir uostų valdymo informacinės technologijos. Magistro baigiamasis darbas. VGTU.

    Google Scholar 

  • Jarašūnienė, A., & Čižiūnienė, K. (2019). Krovinių vežimo geležinkelių ir jūrų transportu sąveikos probleminių aspektų vertinimas Lietuvoje. Vilniaus Gedimino technikos universitetas.

    Google Scholar 

  • Kengpol, A., Meethom, W., & Tuominen, M. (2012). The development of a decision support system in multimodal transportation routing within Greater Mekong sub-region countries. International Journal of Production Economics, 140(2), 691–701.

    Article  Google Scholar 

  • KOMODA. (2009). KOMODA: Co-modality – towards optimised integrated chains in freight transport logistics. Deliverable D3.2: Action Plan. European Commission within the Seventh Framework Programme (2007–2013).

    Google Scholar 

  • Leal Matamala, E., & Perez Salas, G. (2012). Port–rail integration: Challenges and opportunities for Latin America (p. 11). Bulletin FAL. No. 310.

    Google Scholar 

  • Macharis, C., Caris, A., Jourquin, B., & Pekin, E. (2011). A decision support framework for intermodal transport policy. European Transport Research Review, 3(4), 167–178.

    Article  Google Scholar 

  • MarNIS. (2009). Maritime navigation and information services. Accessed January 15, 2020, from http://www.transport-research.info/web/projects/project_details.cfm?id=11127

  • MIT. (2011). MIT – Metrocargo Intermodal Transport. Accessed January 15, 2020, from http://www.mitproject.eu/

    Google Scholar 

  • M-TRADE. (2007). M-TRADE. Accessed January 15, 2021, from http://www.newapplication.it/mtrade/mtrade_home.html

    Google Scholar 

  • Palšaitis, R. (2011). Tarptautinio verslo transportinis logistinis aptarnavimas. Technika.

    Book  Google Scholar 

  • Perego, A., Perotti, S., & Mangiaracina, R. (2011). ICT for logistics and freight transportation: A literature review and research agenda. International Journal of Physical Distribution and Logistics Management, 41(5), 457–483.

    Article  Google Scholar 

  • Piplani, R., Pokharel, S., & Tan, A. (2004). Perspectives on the use of information technology at third party logistics service providers in Singapore. Asia Pacific Journal of Marketing and Logistics, 16(1), 27–41.

    Article  Google Scholar 

  • Pokharel, S. (2005). Perception on information and communication technology: Perspective in logistics. Journal of Enterprise Information Management, 18(2), 136–149.

    Article  Google Scholar 

  • PROMIT. (2009). D 3.1-3.3 Best Practice Year 1, 2 and 3. Accessed August 17, 2021, from http://www.promit-project.net/UploadedFiles/Deliverables/PROMIT_BPH3_April09_cp_MSR.pdf

  • Schilk, G., & Seemann, L. (2012). Use of ITS Technologies for Multimodal Transport Operations – River Information Services (RIS) Transport Logistics Services. Procedia – Social and Behavioral Sciences, 48, 622–631. https://doi.org/10.1016/j.sbspro.2012.06.1040

    Article  Google Scholar 

  • SMART-CM. (2011). SMART-CM: Smart Container Chain Management. Accessed January 10, 2021, from http://www.transport-research.info/web/projects/project_details.cfm?id=37567

  • TAP. (2000). TAP (Telematics Applications Programme): Freight Intermodal: Final area report. 4th Framework Programme for RDT&D. Accessed August 28, 2020, from ftp://ftp.cordis.europa.eu/pub/telematics/docs/tap_transport/freight_report.pdf

  • Tsamboulas, D., Vrenken, H., Lekka, A., & M. (2007). Assessment of a transport policy potential for intermodal mode shift on a European scale. Transportation Research Part A: Policy and Practice, 4(8), 715–733.

    Google Scholar 

  • Vasilis Vasiliauskas, A. (2013). Krovinių vežimo technologijos. Klaipėda.

    Google Scholar 

  • Wiegmans, B., & Behdani, B. (2018). A review and analysis of the investment, and coststructure of, intermodal rail terminals. Journal Transport Reviews.

    Google Scholar 

  • Zeimpekis, V., & Giaglis, G. M. (2006). Urban dynamic real-time distribution services – insights from SMEs. Journal of Enterprise Information Management, 19(4), 367–388.

    Article  Google Scholar 

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  1. Vilnius Gediminas Technical University, Vilnius, Lithuania

    Kristina Čižiūnienė

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  1. Kristina Čižiūnienė
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Correspondence to Kristina Čižiūnienė .

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Čižiūnienė, K. (2022). Information Technology Used in Intermodal and Multimodal Transport. In: Development of Smart Context-Aware Services for Cargo Transportation. International Series in Operations Research & Management Science, vol 330. Springer, Cham. https://doi.org/10.1007/978-3-031-07199-7_18

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