Research review on improving the efficiency of multimodal transportation based on technological solutions

During the process of analyzing Russian and foreign studies in the field of multimodal cargo transportation, existing methods for improving the efficiency of the multimodal transport system are considered. Improving efficiency of multimodal transportation today is possible due to the optimization of the interaction system between the used modes of transport and transportation of goods. Cost reduction, optimization of cargo terminals, the formation and development of the transport corridors network also play an important role in improving this type of transportation. The use of the new capabilities of satellite navigation, as well as the importance of reducing the environmental load and fuel economy should not be underestimated. The minimization of risks throughout the field of multimodal transportation, the improvement of the legislative framework and document management processes are important. To solve these problems, experts propose methods for the operational management of cargo delivery and expedited transportation. Based on these methods, the place of transport logistics in the process of bringing goods to the consumer during multimodal transportation is determined. A methodology for designing a multimodal transport network has been developed, this methodology involves the formation and development of transport corridors, taking into account new conditions for the globalization of transportation. Researches on the organization of transportation using multimodal transport units and technologies (containers, contrailers, "running highway") have been conducted. Based on the theory of controlled networks and integer linear programming methods, the experts developed mathematical models for the distribution of cargo flows, the choice of the most favorable transportation routes, ideal loading of rolling stock, and transportation of goods using the best forwarding algorithm. Methods are proposed for assessing the maximum capacity of the transport network and predicting the interference of weather conditions in the process of goods transportation, based on the Ford-Fulkerson theorem on the maximum flow and minimum cross section and the use of the mathematical apparatus of Markov chains. As a result of the analysis, it was concluded that the lack of a universal methodology for managing multimodal transportation processes on the basis of a telecommunication platform requires the formulation and solution of the important scientific and practical problem - the development of popular organizational and management methods, technological solutions to ensure the effectiveness of multimodal transportation. The totality of the tasks to be solved in this case has important socio-economic significance for the Russian Federation.

multimodal transportation, direct mixed transportation, transport systems, cargo transportation, transport development, telecommunication platforms, transportation technologies

1. Filippova, N.A. and Karimova, P.A. (2019). Operation organization of interacting transport types as common technological processes. Remont. Vosstanovleniye. Modernizatsiya, no. 2, pp. 42–45. DOI: 10.31044/1684-2561-2019-0-2-42-45. (in Russian)

2. Nesterova, N.S., Anisimov, V.A. and Goncharuk, S.M. (2016). About the forming and development of multimodal transport network. Proyektirovaniye razvitiya regionalnoy seti zheleznykh dorog, pp. 39–48. (in Russian)

3. Kirillova, A.G. (2010). Mathematical models of the organisation container and contrailer transportations. A problem of optimum routeing on an auto-railway transport network. Transport: science, technology, management. (Scientific Information Collection), no. 11, pp. 29–32. (in Russian)

4. Buchananac, C.A., Chararaa, M., Sullivana, J.L., Lewis G.M. and Keoleian, G.A. (2018). Lightweighting shipping containers: Life cycle impacts on multimodal freight transportation. Transportation Research Part D: Transport and Environment, vol. 62, pp. 418–432. DOI: https://doi.org/10.1016/j.trd.2018.03.011

5. Trofimenko, Yu.V., Nekrasov, A.G., Atyev, K.I. and Sinitsyna, A.S. (2018). Modeling principles of the digital infrastructure of it services in sustainable low carbon transport systems. International Journal of Engineering and Technology (UAE), vol. 7, issue 2, pp. 386–389. DOI: 10.14419/ijet.v7i2.28.13216

6. Filippova, N.A., Belyaev, V.M. and Vlasov, V.M. (2019). Navigation control of cargo transportation in the north of Russia. Mir Transporta, vol. 17, no. 4 (83), pp. 218–231. DOI: 10.30932/1992-3252-2019-17-4-218-231. (in Russian)

7. Volodina, O.A. (1997). Metody sovershenstvovaniya skorostnoy sistemy dostavki gruzov v mezhdunarodnom soobshchenii [Methods for improving the high-speed system of cargo delivery in international traffic]. Logistika i biznes: sbornik materialov pervoy mezhotraslevoy nauchnometodicheskoy i nauchno-prakticheskoy konferentsii «Logistika v sovremennykh usloviyakh razvitiya ekonomiki Rossiyskoy Federatsii» [Logistics and business: The collection of materials of the first interdisciplinary scientific-methodical and scientific-practical conference «Logistics in the modern conditions of economic development of the Russian Federation»]. Moscow: BRANDES, 430 p. (in Russian)

8. Sossoe, K.S. and Lebacque, J.P. (2017). Reactive dynamic assignment for a bidimensional traffic flow model. Advances in Systems Science. ICSS 2016. Advances in Intelligent Systems and Computing, in J. Świątek and J. Tomczak (eds.), vol. 539, pp. 179–188. DOI: https://doi.org/10.1007/978-3-319-48944-5_17

9. Balalaev, A.S. (2010). Tekhnologicheskiye aspekty povysheniya kachestva multimodalnykh perevozok krupnotonnazhnykh konteynerov po Transsibu [Technological aspects of improving the quality of multimodal transportation of large containers across the Trans-Siberian Railway]. Transport: science, technology, management. (Scientific Information Collection), no. 3, pp. 6–9. (in Russian)

10. Filippova, N.A., Moroz, L.G. and Dolenko, D.V. (2018). Application of the network planning and management method for planning the multimodal transportation. International Journal of Advanced Studies, vol. 8, no. 3-2, pp. 49–68. (in Russian)

11. Yuan, Y. and Yu, J. (2018). Locating transit hubs in a multi-modal transportation network: A cluster-based optimization approach. Transportation Research Part E: Logistics and Transportation Review, vol. 114, pp. 85–103. DOI: https://doi.org/10.1016/j.tre.2018.03.008

12. Mirotin, L.B., Nekrasov, A.G., Stepanov, P.V. and Tregubov, P.G. (2013). Increase of efficiency of freight traffic on the basis of creation of steady transportno-logistical system of high-speed processing and delivery of cargoes. Vestnik Moskovskogo avtomobilno-dorozhnogo instituta (gosudarstvennogo tehnicheskogo universiteta), no. 3 (34), pp. 61–65. (in Russian)

13. Kanafani, A. and Wang, R. (2010). Measuring multimodal transport level of service. Working Papers from University of California Transportation Center. Available at https://escholarship.org/uc/item/9k74n1b5 (accessed 03.04.2020).

14. Funke, J. and Kopfer, H. (2016). A model for a multi-size inland container transportation problem. Transportation Research Part E 89: Logistic and Transportation review, vol. 89, pp. 70–85. DOI: https://doi.org/10.1016/j.tre.2016.02.010

15. Ferrari, P. (2014). The dynamics of modal split for freight transport. Transportation Research Part E: Logistics and Transportation Review, vol. 70, pp. 163–176. DOI: https://doi.org/10.1016/j.tre.2014.07.003

16. Belyaev, V.M. and Filippova, N.A. (2015). Osnovnyye printsipy razrabotki strategii planirovaniya protsessa perevozki gruzov v sovremennykh rynochnykh usloviyakh v severnyye regiony Rossii [The basic principles of developing a strategy for planning the process of transportation of goods in modern market conditions in the northern regions of Russia]. Gruzovoye i passazhirskoye avtokhozyaystvo, no. 2, pp. 54–58 (in Russian)

17. Nesterova, N.S. (2016). Kontseptsiya metodologii proyektirovaniya razvitiya multimodalnoy transportnoy seti. Proyektirovaniye razvitiya regionalnoy seti zheleznykh dorog: sbornik nauchnykh trudov [The concept of methodology for the multimodal transport network development. Designing the development of a regional railway network], in V.S. Shvartsfelda (Ed.), Khabarovsk: Izdatelstvo DVGUPS, issue 4, pp. 55–61. (in Russian)

18. Benghalia, A., Oudani, M., Boukachour, J., Boudebous, D. and Alaoui, A.E. (2014). Optimization-simulation for maritime containers transfer. International Journal of Applied Logistics, vol. 5, issue 2, pp. 50–61.

19. Shilimov, M.V., Koshkarev, P.P., Filippova, N.A., Belyaev, V.M. and Odinokova, I.V. (2017). The analytical test of methodological approaches to the increasing the level of automation of the basic functions of the car dispatching of the cargo delivery to northern regions of the Russian Federation. International Journal of Applied Engineering Research (IJAER), vol. 12, no. 21, pp. 1153211535.

20. Vlasov, V.M. and Filippova, N.A. (2019). Methodology of the north of Russia transport and technological multimodal system efficiency and reliability improvement. Nauchnyy Vestnik MGTU GA, vol. 22, no. 6, pp. 55–65. DOI: 10.26467/2079-0619-2019-22-6-55-65. (in Russian)

21. Renne, J., Kim, K., Murray-Tuite, P., Pande, A. and Wolshon, B. (2020). Creating resilient transportation systems. Policy, planning and implementation. 1st ed. Elsevier, 244 p.

22. Lãpãdusi, M.L. and Cãruntu, C. (2013). Transport efficiency through multimodalism. Ovidius University Annals, Economic Sciences Series, vol. XIII, issue 2, pp. 45–50. Available at: http://stec.univ-ovidius.ro/html/anale/ENG/cuprins%20rezumate/volum2013p2.pdf (accessed 03.04.2020).

23. Larin, O.N. and Penkovskiy, A.V. (2008). Perspektivy razvitiya tranzitnykh soobshcheniy po avtodorozhnoy seti Chelyabinskoy oblasti [Prospects for the development of transit communications on the road network of the Chelyabinsk region]. Nauka YuUrGU: materialy 60-y yubileynoy nauchnoy konferentsii. Sektsiya tekhnicheskikh nauk [Materials of the 60th anniversary scientific conference. Section of Technical Sciences]. Chelyabinsk: Izdatelstvo YuUrGU, vol. 1, pp. 7–9. (in Russian)

24. Larin, O.N. (2007). Metodologicheskiye aspekty integratsii razlichnykh vidov transporta v yedinuyu sistemu [Methodological aspects of the integration of various modes of transport in a single system]. Vestnik transporta, no. 7, pp. 10–13. (in Russian)

25. Yanga, X., Ban, X. and Mitchell, J. (2018). Modeling multimodal transportation network emergency evacuation considering evacuees’ cooperative behavior. Transportation Research Part A: Policy and Practice, vol. 114, part B, pp. 380–397. DOI: 10.1016/j.tra.2018.01.037

26. Tonneau, Q.A. (2017). Optimisation de la chaine logistique des déchets non dangereux. Recherche opérationnelle. Ecole nationale supérieure Mines-Télécom Atlantique. Available at: https://tel.archives-ouvertes.fr/tel-01729672/document (accessed 23.06.2020).

27. Filippova, N.A. and Belyaev, V.M. (2015). Methodology of organization of the northern regions multimodal transportation system. Fundamental and Applied Studies in the Modern World: The XIV International Academic Congress. Papers and commentaries volume II, United Kingdom, Oxford University Press, pp. 249–254.