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A study on the options of means for railway passenger transportation

Treść / Zawartość
Identyfikatory
Warianty tytułu
PL
Badanie wyboru taboru dla kolejowego transportu pasażerskiego
Języki publikacji
EN
Abstrakty
EN
A mathematical model to select the best rolling stocks of trains is introduced. The parameters of income and cost of the passenger transportation by railways depending on the technical characteristic of used vehicles are thoroughly evaluated. The options how to reduce the cost calculated by a model in one of the specific routes of Lithuanian Railways are given and practical decisions are argumentatively given.
Słowa kluczowe
Czasopismo
Rocznik
Strony
53--62
Opis fizyczny
Bibliogr. 14 poz.
Twórcy
autor
autor
  • Vilnius Gediminas Technical University, Dept of Finance Engineering, Saul?tekio al. 11, LT-10223 Vilnius, Lithuania, v.lingaitis@litrail.lt
Bibliografia
  • 1. Butkevičius J.: The strategy of passenger transportation by national railway transport the implementation of public service obligations. Transport, 24(2), 2009, p. 180-186.
  • 2. Butkevičius J.: Development of passenger transportation by railroad from Lithuania to European states. Transport, 22(2), 2007, p. 73-79.
  • 3. Celebi D., Bolat B., Bayraktar D.: Light rail passenger demand forecasting by artificial neural networks, In International Conference on Computers and Industrial Engineering (CIE), 2009, p. 239-243.
  • 4. Budai G., Maróti G., Dekker R., Huisman D., Kroon L.: Rescheduling in passenger railways: rolling stock rebalancing problem. Journal of Scheduling, 13(3), 2010, p. 281-297.
  • 5. Dailydka, S.:. A study on the options of means for railway passenger transportation. Doctoral Thesis, Vilnius Gediminas Technical University, 2011.
  • 6. Li, K.P.; Gao, Z.Y.; Mao, B.H.; Cao, C.X.: Optimizing Train Network Routing Using Deterministic Search. Journal of Networks and Spatial Economics (Infrastructure Modelingg and Computation) 9, 2009, p. 1-13.
  • 7. Manoj K. Jha; Schonfeld P., Sutapa S.: Optimizing Rail Transit Routes with Genetic Algorithms and Geographic Information System. Journal of Urban Planning and Development 133(3), 2007, p. 161-171.
  • 8. Sahin B., Yilmaz H., Ust Y., Guneri A.F., Gulsun B.: An approach for analysing transportation costs and a case study. European Journal of Operational Research, 193(1), 2009, p. 1-11.
  • 9. Tao S., Peng Q., Zha W., Jiang C.: Economic Evaluation Method of Passenger Train Plan. In Proceedings of the International Conference on Transportation Engineering 2007, p. 412-417.
  • 10. Savolainen V.V., Hilmola O.P.: The relative technical efficiency of European transportation systems concerning air transport and railways. International Journal of Business Performance Management 11(1/2), 2009, p. 19-42.
  • 11. Shrivastava P., O'Mahony M.: Use of a hybrid algorithm for modeling coordinated feeder bus route network at suburban railway station. Journal of Transportation Engineering 135(1), 2009, p. 1-8.
  • 12. Wang H., Cui Y., Li B.: Related issues on train program of passenger special line. In Proceedings of the Second International Conference on Transportation Engineering 2007, 2009, p. 410-420.
  • 13. Zhang Y., Peng Q.: Study on passenger transfer network for integrated transportation. In Proceedings of the Eighth International Conference of Chinese Logistics and Transportation Professionals 5, 2008, p. 642-643.
  • 14. Лисенко О.А.: Функциональные аспекты управления текущими затратами пассажирских пригородных железнодорожных компаний. Aвтореферат диссертации на соискание ученой степени кандидата экономических наук. Екатеринбург, 2006.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BSL2-0026-0032
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