SYNERGETIC APPROACH TO THE CALCULATION OF ONE-GROUP TRAIN FORMATION PLAN

Authors

DOI:

https://doi.org/10.15802/stp2018/147718

Keywords:

train formation plan, cat stream, service speed, cost saving, local trains, through-trains

Abstract

Purpose. The research aims at the analysis of the possibility of using in the development of one-group train formation plan the criterion, which allows to consider the costs associated with the movement of cars and locomotives. Methodology. The existing methods for development of train formation plan and current directions of its optimization are analyzed. The formulas for calculating the cost-saving criterion for running cars and locomotives in through-trains have been developed. Findings. The dependence between the service speed and the category of train was analyzed on the examples of railway sections of the Belarusian Railways. The obtained results allowed to conclude that, in general, the service speed of through-trains is higher than that of local trains. At the same time, the traffic intensity and section capacity affect the difference between the service speeds of trains belonging to the different categories. The one-group train formation plan was developed using the traditional methods and the proposed criterion on the example of the railway direction, where four marshalling yards are located. The use of the proposed methodology for the development of train formation plan can provide significant savings in operating costs due to the acceleration of the passing of the car through the railway sections. Originality. The use of the additional parameter in the development of train formation plan – «the criterion of cost saving when running of rolling stock in through-trains» – is proposed. It is shown that the application of this criterion makes it possible to substantiate the creation of separate assignments of some car-streams, while these car-streams would be considered as unprofitable, when using traditional methods of the calculation of train formation plan. The authors analyzed the influence of such factors as the train composition, the length of the railway section and the car traffic volume on the cost savings by using the proposed criterion. Practical value. The obtained results can be used in the development of the train formation plan, which will save the operating costs connected with the movement of cars and locomotives.

Author Biographies

V. Y. Negrey, Belarusian State University of Transport

Dep. «Transport Nodes», Belarusian State University of Transport, Kirov St., 34, Gomel, Republic of Belarus, 246022,
tel. +37 (529) 625 75 87, Email: vjanegrey@gmail.com

K. M. Shkuryn, Minsk Division of the Belarusian Railway

Minsk Division of the Belarusian Railway, Sverdlov St., 28, Minsk, Republic of Belarus, 220030, tel. +37 (529) 238 88 87, Email: nodntiv1@rambler.ru

References

Abramov, A. A. (2001). Upravlenie ekspluatatsionnoy rabotoy (Vol. 1-3). Moscow: Rossiyskiy gosudarstvennyy otkrytyy tekhnicheskiy universitet putey soobshcheniya. (in Russian)

Bodyul, V. I., & Feofilov, A. N. (2016). Concept of rational management of car fleet of rolling stock operators and information technology for its implementation. Vestnik nauchno-issledovatelskogo instituta zheleznodorozhnogo transporta, 75(1), 46-52. (in Russian)

Saybatalov, R. F., & Borodin, A. F. (2014). Vagonnyy park, infrastrukturu i upravlenie dvizheniem – k obshchemu znamenatelyu. Zheleznodorozhnyy transport, 11, 26-34. (in Russian)

Doroshko, S. V. (2010). Adaptivnaya sistema organizatsii vagonopotokov. Bulletin of Dnipropetrovsk National University of Railway Transport named after Academician V. Lazaryan, 34, 39-45. (in Russian)

Kovalev, V. I. (2002). Organizatsiya vagonopotokov na seti zheleznykh dorog Rossii v usloviyakh reformirovaniya otrasli. St. Petersburg: Vybor. (in Russian)

Levin, D. Y. (2017). Organization of Car Flows in Market Conditions. World Transport, 4(71), 178-192. (in Russian)

Negrey, V. Y., & Shkuryn, K. M. (2016). Razvitie metodov analiza perevozochnogo protsessa. Vestnik BelGUTa: Nauka i transport, 2(33), 23-25. (in Russian)

Nekrashevich, V. I., & Apattsev, V. I. (2004). Upravlenie ekspluatatsiey lokomotivov. Moscow: Rossiyskiy gosudarstvennyy otkrytyy tekhnicheskiy universitet putey soobshcheniya. (in Russian)

Osminin, A. T. (2000). Ratsionalnaya organizatsiya vagonopotokov na osnove metodov mnogokriterialnoy optimizatsii. (Dissertatsiya doktora tekhnicheskikh nauk). Samara State Transport University, Samara. (in Russian)

Pravdin, N. V., Dykanyuk, N. L., & Negrey, V. Y. (1987). Prognozirovanie gruzovykh potokov. Moscow: Transport. (in Russian)

Pulatov, P. N. (2018). Koordinatsiya tekhnologii ekspluatatsionnoy raboty zheleznoy dorogi Respubliki Tadzhikistan i organizatsii vagonopotokov v mezhdunarodnom soobshchenii. Vestnik nauchno-issledovatelskogo instituta zheleznodorozhnogo transporta, 4 (77), 211-217. (in Russian)

Gruntov, P. S., Dyakov, Y. V., Makarochkin, A. M., & Gruntov, P. S. (Ed). (1994). Upravlenie ekspluatatsionnoy rabotoy i kachestvom perevozok na zheleznodorozhnom transporte: Uchebnik dlya vuzov. Moscow: Transport. (in Russian)

Fedorov, Y. A. (2018). Metodologicheskie osnovy realizatsii planov formirovaniya poezdov perevozchikov v grafike dvizheniya poezdov na poligone infrastruktury. Vestnik nauchno-issledovatelskogo instituta zheleznodorozhnogo transporta, 2 (77), 92-97. (in Russian)

Shapkin, I. N., & Vdovin, A. N. (2013). Na osnove imitatsionnogo modelirovaniya. Zheleznodorozhnyiy transport, 3, 37-41. (in Russian)

Shapkin, I. N., Yusipov, R. A., & Kozhanov, Y. M. (2007). Normirovanie i prognozirovanie na zheleznykh dorogakh (metody, algoritmy, tekhnologii, raschety). Moscow: Institute of Social and Political Studies of the Russian Academy of Sciences (ISPR RAS). (in Russian)

Shkuryn, K. M. (2017). Sistemnyy podkhod k optimizatsii plana formirovaniya poezdov. Vestnik BelGUTa: Nauka i transport, 1(34), 61-64. (in Russian)

Butko, T., Prokhorov, V., & Chekhunov, D. (2017). Devising a method for the automated calculation of train formation plan by employing genetic algorithms. Eastern-European Journal of Enterprise Technologies, 1(3(85), 55-61. doi: 10.15587/1729-4061.2017.93276 (in English)

Chen, C., Fang, H., & Xue, F. (2012). Model and Algorithm of the Car-to-Block Assignment Plan on Railway Network. ICLEM 2012. doi: 10.1061/9780784412602.0009 (in English)

Jacob, R., Márton, P., Maue, J., & Nunkesser, M. (2010). Multistage methods for freight train classification. Networks, 57(1), 87-105. doi: 10.1002/net.20385 (in English)

Bohlin, M., Gestrelius, S., Dahms, F., Mihalák, M., & Flier, H. (2016). Optimization Methods for Multistage Freight Train Formation. Transportation Science, 50(3), 823-840. doi: 10.1287/trsc.2014.0580 (in English)

Michal, G., Huynh, N., Shukla, N., Munoz, A., & Barthelemy, J. (2017). RailNet: A simulation model for operational planning of rail freight. Transportation Research Procedia, 25, 461-473. doi: 10.1016/j.trpro.2017.05.426 (in English)

Xiao, J., & Lin, B. (2016). Comprehensive optimization of the one-block and two-block train formation plan. Journal of Rail Transport Planning & Management, 6(3), 218-236. doi: 10.1016/j.jrtpm.2016.09.002 (in English)

Yaghini, M., Momeni, M., & Sarmadi, M. (2015). A hybrid solution method for fuzzy train formation planning. Applied Soft Computing, 31, 257-265. doi: 10.1016/j.asoc.2015.02.039 (in English)

Published

2018-11-20

How to Cite

Negrey, V. Y., & Shkuryn, K. M. (2018). SYNERGETIC APPROACH TO THE CALCULATION OF ONE-GROUP TRAIN FORMATION PLAN. Science and Transport Progress, (5(77), 53–64. https://doi.org/10.15802/stp2018/147718

Issue

Section

TRANSPORT AND ECONOMIC TASKS MODELING