Research of effectiveness of unimodal and multimodal transportation involving land kinds of transport
Keywords:unimodal transportation, multimodal transportation, delivery time, stochastic process, extreme experiment
AbstractModeling of a delivery system, which renders services of international material supply, usually is performed from the positions of the deterministic approach. This allows us to determine clearly the scope of effective use of transport technologies, which in practice can give a negative result. In connection with this, the probabilistic-statistical approach to simulation of cargo delivery time at unimodal and multimodal transportation was proposed in this research. To account for all possible conditions of delivery, factor space was constructed based on the route Ukraine – Italy and a plan for an extreme experiment was developed. Replication of experiments within each series was performed through simulation of such random processes as vehicles’ arrival at the border checkpoint, changes in technical motion speed of a vehicle and time of transportation request placement. As a result, regression models of estimation of cargo delivery time on delivery condition "just in time". They represent additive functions by the following parameters: downtime at a border checkpoint, delivery distance (for unimodal transportation), and supply distance, dispatch distance and section speed of a train (for multimodal transportation). They served as the basis for determining of effectiveness of application of unimodal and multimodal services on example of route Ukraine – Italy. It was found that when performing delivery by the unimodal option, rolling stock turnover on the route increases up to 47 per cent. In this case, if the pessimistic scenario of the supply system functioning is taken into consideration, efficiency of application of the multimodal transportation option approaches that of the unimodal. While taking into account hour indicators of the delivery process, expediency of application of the unimodal transportation option, based on heavy motor trains, becomes apparent. This refutes common opinions about economically reasonable expediency of application of motor transport as the main transport at the distance of up to 500 kilometers
Naumov, V., Omelchenko, T. (2017). Model of the Delivery Routes Forming Process as a Service Provided by Forwarding Companies. Procedia Engineering, 187, 167–172. doi: 10.1016/j.proeng.2017.04.362
García, J., Torralba, álvaro, García-Olaya, ángel, Flórez, J. E., Borrajo, D. (2012). Solving Multi-modal and Uni-modal Transportation Problems through TIMIPlan. IFAC Proceedings Volumes, 45 (24), 203–208. doi: 10.3182/20120912-3-bg-2031.00041
Hlayel, A. A. (2012). Solving Transportation Problems Using the Best Candidates Method. Computer Science & Engineering: An International Journal, 2 (5), 23–30. doi: 10.5121/cseij.2012.2503
Bondarev, S. I. (2012). Perfection of timing methodology of loads delivery at international autotransportations. Technology audit and production reserves, 5 (1 (7)), 49–50. doi: 10.15587/2312-8372.2012.4809
Bhusiri, N., Qureshi, A. G., Taniguchi, E. (2014). Application of the Just-In-Time Concept in Urban Freight Transport. Procedia – Social and Behavioral Sciences, 125, 171–185. doi: 10.1016/j.sbspro.2014.01.1465
Hsu, S. C. (2012). A Preliminary Study of Just-in-Time Methods for a Seamless Public Transportation Information Framework. Intelligent Information Management, 04 (01), 1–5. doi: 10.4236/iim.2012.41001
Lukinskiy, V. S. (2012). Modelirovanie vremennyh sostavlyayushchih avtomobil'nyh perevozok pri realizatsii tekhnologii «tochno v srok». Sovremennye problemy nauki i obrazovaniya, 3.
Bosov, A., Khalipova, N. (2017). Formation of separate optimization models for the analysis of transportation-logistics systems. Eastern-European Journal of Enterprise Technologies, 3 (3 (87)), 11–20. doi: 10.15587/1729-4061.2017.103220
Naumov, V., Nagornyi, I., Litvinova, Y. (2015). Model of multimodal transport node functioning. Archives of Transport, 36 (4), 43–54. doi: 10.5604/08669546.1185202
Pavlenko, O., Velykodnyi, D. (2017). The choice of rational technology of delivery of grain cargoes in the containers in the international traffic. International Journal for Traffic and Transport Engineering, 7 (2), 164–176. doi: 10.7708/ijtte.2017.7(2).02
Florez, J. E., Arias de Reyna, A. T., Garcıa, J., Lopez, C. L., Garcıa-Olaya, A., Borrajo, D. (2011). Planning multi-modal transportation problems. Proceedings of the twenty-first international conference on automated planning and scheduling, 66–73.
Patel, R. G., Bhathawala, P. H. (2014). The new global approach to a transportation problem. International journal of engineering technology, 2 (3), 109–113.
Lukinskiy, V. S., Shul'zhenko, T. G., Sokolov, K. A. (2011). Modeli i metody intermodal'noy transportnoy logistiki: sovremennoe sostoyanie i perspektivy razvitiya. Imitatsionnoe i kompleksnoe modelirovanie morskoy tekhniki i morskih transportnyh sistem: Sbornik dokladov mezhdunarodnoy nauchno-prakticheskoy konferentsii IKM MTMTS 2011, 77–82.
Kush, Ye. I., Skrypin, V. S. (2016). Formuvannia tsilovoi funktsyi optymizatsyi vytrat lohistychnoho protsesu. Zbirnyk naukovykh prats ukrainskoi derzhavnoi akademii zaliznychnoho transportu, 165, 49–59.
Min'ko, A. A. (2004). Statisticheskiy analiz v MS Excel. Kyiv: Dialektika, 448.
Mitropol'skiy, A. K. (1971). Tekhnika statisticheskih vychisleniy. Moscow: Nauka, 578.
Galushko, V. G. (1976). Veroyatnostno-statisticheskie metody na avtotransporte. Kyiv: Vishcha shkola, 232.
Nakaz No. 317 vid 26.03.2009 Pro zatverdzhennia Zbirnyka taryfiv na perevezennia vantazhiv zaliznychnym transportom u mezhakh Ukrainy ta poviazani z nymy posluhy ta Koefitsiientiv, shcho zastosovuiutsia do Zbirnyka taryfiv na perevezennia vantazhiv zaliznychnym transportom u mezhakh Ukrainy ta poviazani z nymy posluhy (2009). Verkhovna Rada Ukrainy. Kyiv: Parlam. vyd-vo, 176. Available at: http://zakon3.rada.gov.ua/laws/show/z0340-09
Sposób ustalania szacunkowego czasu oczekiwania. Available at: http://www.granica.gov.pl
Nalimov, V. V. (1971). Teoriya eksperimenta. Moscow: Nauka, 208.
How to Cite
Copyright (c) 2017 Alexander Rossolov, Denis Kopytkov, Yevhen Kush, Viktoriia Zadorozhna
This work is licensed under a Creative Commons Attribution 4.0 International License.
Our journal abides by the Creative Commons CC BY copyright rights and permissions for open access journals.
Authors, who are published in this journal, agree to the following conditions:
1. The authors reserve the right to authorship of the work and pass the first publication right of this work to the journal under the terms of a Creative Commons CC BY , which allows others to freely distribute the published research with the obligatory reference to the authors of the original work and the first publication of the work in this journal.
2. The authors have the right to conclude separate supplement agreements that relate to non-exclusive work distribution in the form in which it has been published by the journal (for example, to upload the work to the online storage of the journal or publish it as part of a monograph), provided that the reference to the first publication of the work in this journal is included.