An Integrated Approach for Selection of Intercity Transport Schemes on Railway Networks

  • Svetla Dimitrova Stoilova Technical University of Sofia, Faculty of Transport, Bulgaria
Keywords: fuzzy linear programming, Fuzzy AHP, PROMETHEE, train, passenger

Abstract

A major problem connected with planning the organization of trains on a railway network is the optimization of the scheme of movement, which determines the routing and the number of trains. In this paper, an integrated approach of fuzzy linear programming method and multi-criteria analysis including three steps is proposed. In the first step, we defined the schemes of transportation of intercity trains and optimized each scheme in terms of direct operating costs by taking into account the uncertainty of passenger flows and utilization of train capacity using the fuzzy linear programming method. In the second step we determined the additional technological criteria to assess the variant schemes. The Fuzzy AHP method was applied to determine the weights of criteria. Using the results obtained from Fuzzy AHP, we prioritized the variant schemes of transportation by applying the PROMETHEE method. The third step presents the optimal choice of transportation of trains on a railway network based on minimum ratio of normalized costs and normalized PROMETHEE net outranking flow. In this step, the model uses the results obtained in the first and second steps. The practicability of the integrated approach is demonstrated
through the case study of Bulgaria’s railway network, and nine schemes were investigated. The model results and the real situation were compared. It was found out that the optimal scheme of intercity train transportation improves the service and reduces direct operating costs.

Author Biography

Svetla Dimitrova Stoilova, Technical University of Sofia, Faculty of Transport, Bulgaria

Assoc. Prof. PhD

Technical University of Sofia, Bulgaria

Faculty of Transport

References

[1] Guzman V, Masegosa A, Pelta D, Verdegay J. Fuzzy Models and Resolution Methods for Covering Location Problems: an Annotated Bibliography. Int. J. Unc. Fuzz. Knowl. Based Syst. 2016;24(4): 561-591. doi:10.1142/S0218488516500276
[2] Verdegay J. Progress on Fuzzy Mathematical Programming: A personal perspective. Fuzzy Sets and Systems. 2015;281: 219-226. doi:10.1016/j.fss.2015.08.023.
[3] Li W, Qin Y, Xu J, Jia L. A Fuzzy Optimization Model for High-Speed Railway Timetable Rescheduling. Discrete Dynamics in Nature and Society. 2012; Article ID 827073:1-22.doi.org/10.1155/2012/827073
[4] Meng X, Jia L, Xiang W, Xu J. Train re-scheduling based on an improved fuzzy linear programming model. Kybernetes. 2015;44(10): 1472-1503. doi:10.1108/K-10-2014-0226
[5] Chang Y-H, Yeh C-H, Shen C-C. A multiobjective model for passenger train services planning: application to Taiwan's high-speed rail line. Transportation Research Part B: Methodological. 2000;34(2): 91-106. doi:10.1016/S0191-2615(99)00013-2.
[6] Khan AJ, Das DK. Fuzzy multi objective optimization: With reference to multi objective transportation problem. Recent Research in Science and Technology. 2014;6(1): 274-282. [cited 20 July 2017] Available from: https://scienceflora.org/journals/index.php/rrst/article/viewFile/1215/1201
[7] Diaz-Madronero M, Peidro D, Mula J. A fuzzy optimization approach for procurement transport operational planning in an automobile supply chain. Applied Mathematical Modelling. 2014;38: 5705-5725. doi:10.1016/j.apm.2014.04.053
[8] Brito J, Moreno JA, Verdegay J. Transport route planning models based on fuzzy approach. Iranian Journal of Fuzzy Systems. 2012;9(1): 141-158. Available from: http://ijfs.usb.ac.irpdf_231_7ebf6519fbcb9484fdaa9a6e8d293100.html
[9] Kovačić M. Selecting the location of a nautical tourism port by applying PROMETHEE and GAIA methods case study – Croatian northern Adriatic. Promet – Traffic & Transportation. 2010;22(5): 341-351. doi:10.7307/ptt.v22i5.199
[10] Tadić S, Zečević S, Krstić M. Ranking of logistics system scenarios for central business district. Promet – Traffic & Transportation. 2014;26(2): 159-167. doi:10.7307/ptt.v26i2.1349.
[11] Deng H, Zhang Z. GIS-based combination of fuzzy numbers and AHP method for selection of highway route: a case study from Anhui. Proceedings of the International Conference on Mechanic Automation and Control Engineering (MACE); 2010 Jun 26-28; Wuhan, China: IEEExpore.760-764. doi:10.1109/MACE.2010.5535824.
[12] Isaai M, Kanani A, Tootoonchi M, Afzali H. Intelligent timetable evaluation using fuzzy AHP. Expert Systems with Applications. 2011;38: 3718-3723. doi:10.1016/j.eswa.2010.09.030
[13] Kazan H, Ciftci C. Transport Path selection: Multi-Criteria Comparison. International Journal of Operations and Logistics Management. 2013;2(4): 33-48. [cited 20 July 2017] Available from: http://www.academia.edu/5300413/Transport_Path_Selection_Multi-Criteria_Comparison
[14] Wen H, Lin S. Performance Evaluation of Highway Passenger Transport Enterprises' Operation based on the Model of AHP-DEA. Industrial Engineering and Engineering Management, IEEE 18th International Conference; 2011 Aug 12-14; Wuhan, China. 2:811-815. doi: 10.1109/ICMSS.2011.5998823
[15] Abramović B. Passenger's satisfaction on long distance terminals: Case study city of Zagreb. Periodica Polytechnica Transportation Engineering. 2017;46(1): 42-47. doi:10.3311/PPtr.9197.
[16] Macharis C, Springael J, De Brucker K, Verbeke, A, PROMETHEE and AHP: The design of operational synergies in multicriteria analysis: Strengthening PROMETHEE with ideas of AHP. European Journal of Operational Research. 2004;153: 307-317. doi:10.1016/S0377-2217(03)00153-X.
[17] Chang D. Applications of the Extent Analysis Method on Fuzzy AHP. European Journal of Operational Research. 1996;95(3): 649-655. doi:10.1016/0377-2217(95)00300-2.
[18] Saaty T. Fundamentals of the Analytic network process – Dependence and feedback in decision-making with a single network. Journal of Systems Science and Systems Engineering. 2004;1: 129-157. doi:10.1007/s11518-006-0158-y.
[19] Brans JP. Mareschal B. PROMETHEE Methods. In: Multiple Criteria Decision Analysis: State of the Art Surveys. International Series in Operations Research & Management Science. 2005;78: 163-186. doi:10.1007/0-387-23081-5_5.
[20] Christova M. [Expert evaluation of quality of education in higher schools and methods for its objectification]. Mechanics, Transport, Communications. 2007;1: 14. Bulgarian.
Published
2018-08-29
How to Cite
1.
Stoilova S. An Integrated Approach for Selection of Intercity Transport Schemes on Railway Networks. Promet - Traffic & Transportation [Internet]. 29Aug.2018 [cited 15Oct.2018];30(4):367-7. Available from: http://www.fpz.unizg.hr/traffic/index.php/PROMTT/article/view/2673
Section
Articles