Identyfikatory
Warianty tytułu
Języki publikacji
Abstrakty
In this study, a methodology was developed for transport plan selection of intercity trains in railway network using the method of Analytic Hierarchy Process (AHP). For studying the transport plan, the following indicators have been chosen: the transport satisfaction, average number of train stops, average distance travelled, average speed, reliability, availability of service with direct transport and transport capacity. The methodology includes determination of variant schemes of transportation; determination of the number of trains by criterion of minimum direct operating costs for transportation of each variant scheme using linear optimization model; application of AHP method to define the weights of criteria and ranking the variants schemes; and selection of an optimal transport plan according to the criterion of a minimum ratio of normalized direct operating costs to the AHP score. The methodology was experimented in Bulgarian railway network.
Czasopismo
Rocznik
Tom
Strony
37--48
Opis fizyczny
Bibliogr. 14 poz.
Twórcy
autor
- Technical University of Sofia boulevard Kliment Ohridski 8, Sofia, Bulgaria
autor
- Technical University of Sofia boulevard Kliment Ohridski 8, Sofia, Bulgaria
Bibliografia
- 1. Bureika, G. & Bekintis, G. & Liudvinavicius, L. & Vaiciunas, G. Applying analytic hierarchy process to assess traffic safety risk of railway infrastructure. Eksploatacja i Niezawodnosc -Maintenance and Reliability. 2013. Vol. 15 (4). P. 376-383.
- 2. Isaai, M. & Kanani, A. & Tootoonchi, & Afzali, H. Intelligent timetable evaluation using fuzzy AHP. Expert Systems with Applications. 2011. No. 38. P. 3718-3723.
- 3. Junneng, Ye & Ganbin, L. Application of AHP Model in Decision of Urban Mass Transit Network Scheme. In: Proceedings International Conference Management and Service Science. MASS '09. 2009. P.1-4.
- 4. Maskeliūnaite, L. & Sivilevičius, H. & Podvezko, V. Research on the quality of passenger transportation by railway. Transport. 2009. Vol. 24(2). P. 100-112.
- 5. Pogarcic, I. & Francic, M. & Davidovic, V. Application of AHP method in traffic planning. ISEP 2008. Available at: https://bib.irb.hr/datoteka/368476.PogarcicFrancicDavidovicISEP08.pdf.
- 6. Saaty, T. Fundamentals of the analytic network process – Dependence and feedback in decisionmaking with a single network. Journal of Systems Science and Systems Engineering. 2004. Vol. 13. P. 129-157.
- 7. Saaty, T. Fundamentals of Decision Making and Priority Theory with the Analytic Hierarchy Process. 1st edition. RWS Publications. 2000. 477 p.
- 8. Sivilevičius, H. & Maskeliūnaite, L. The criteria for identifying the quality of passengers’ transportation by railway and their ranking using AHP method. Transport. 2010. Vol. 25(4). P. 368-381.
- 9. Srinivasa, R. & Kuma R.D. Multicriterion Analysis in Engineering and Management. PHL Learning Private Limited. Delhi. 2014. 266 p.
- 10. Vytautas, L. & Gintaras, S. Passenger transport by railway: evaluation of economic and social Phenomenon. Procedia - Social and Behavioural Sciences. 2014. Vol. 110. P. 549-559.
- 11. Wang, L. & Yong, Q. & Xu, J. A two-layer optimization model for high-speed railway line planning. MO Journal of Zhejiang University-SCIENCE A: Applied Physics & Engineering. 2011. P. 902-912.
- 12. Wen, H. & Lin, S. Performance Evaluation of Highway Passenger Transport Enterprises’ Operation based on the Model of AHP-DEA. In: Proceedings of IEEE 18Th International Conference Industrial Engineering and Engineering Management (IE&EM). 2011. Part 2. P. 811-815.
- 13. Wenliang, Z. & Junli, T. & Lianbo, D. & Jin, Q. Integrated optimization of service-oriented train plan and schedule on intercity rail network with varying demand. Hindawi Publishing Corporation Discrete Dynamics in Nature and Society. 2015. Article ID 419042. P. 1-9.
- 14. Xukuo, G. & Qiong, W. Research on the mode of present transportation in China and the analysis of railway transportation. In: Proceedings of 6th International Conference on Information Management, Innovation Management and Industrial Engineering. 2013. P. 414-416.
Uwagi
PL
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018)
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-91dc9c11-de4e-4399-8f66-a69b08dfa848