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Tytuł artykułu

Increased efficiency and reliability of maintanance of mass passenger flow with the regular route network of city transport

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This study is aimed at improving the methods of carriage of passengers by urban transport to improve its reliability and efficiency. It can be achieved by forming back-up bus routes within the existing regular route network for servicing mass passenger-flows. This study theoretically substantiates the impact of back-up bus routes inthe current regular route network on the reliability and efficiency of the transport process. Mathematical models of reservation of regular route network and the assessment of the reliability of passenger transport using different reservation schemes are suggested. Methodological recommendations on the formation of passenger traffic on back-up bus routes and cost reduction on its maintenance, by managing the route speed depending on the loading of the city road network, have been developed. Technical and economic evaluation was conducted to the developed methodological toolkit.
Rocznik
Tom
Strony
107--119
Opis fizyczny
Bibliogr. 14 poz.
Twórcy
  • Tver State University, Tver, Russia
  • Nosov Magnitogorsk State Technical University, Magnitogorsk
  • LLC Avtodorkomplekt Magnitogorsk, Russia
  • Nosov Magnitogorsk State Technical University, Magnitogorsk, Russia
Bibliografia
  • 1. Grishaeva Y.M., O.Y. Matantseva, I.V. Spirin, M.I. Savosina, Z.N. Tkacheva, D.V. Nasin. 2018. ,,Sustainable development of transportation in the cities of Russia: experience and priorities”. South of Russia: Ecology, Development 13(4): 24-46. ISSN: 2413-0958 DOI: https://doi.org/10.18470/1992-1098-2018-4-24-46.
  • 2. Beim M., M. Haag. 2010. ,,Freiburg’s way to sustainability: the role of integrated urban and transport planning”. Real Corp 2010: Cities for Everyone, Liveable, Healthy, Prosperous – Proceedings, Competence Centre of Urban and Regional Planning: 285-294.. 18-20 May 2010, Vienna, Austria. ISBN: 978-39502139-8-0.
  • 3. Nemtinov V., Y. Nemtinova, A. Borisenko, V. Mokrozub. 2017. ,,Information support of decision making in urban passenger transport management”. Transport Problems 12(4). DOI: 10.20858/tp.2017.12.4.8.
  • 4. Lu J., L. Cao. 2003. ,,Congestion evaluation from traffic flow information based on fuzzy logic”. Proceedings IEEE Intelligent Transportation Systems 1: 50-53. DOI: https://doi.org/10.1109/ITSC.2003.1251919.
  • 5. Schneider W. 2005. ,,Mobile phones as a basis for traffic state information”. Proceedings IEEE Intelligent Transportation Systems: 782-784. DOI: https://doi.org/10.1109/ITSC.2005.1520148.
  • 6. Barcik R., L. Bylinko. 2018. ,,Transportation demand management as a tool of transport policy”. Transport Problems 13(2). DOI: 10.20858/tp.2018.13.2.12.
  • 7. Börjesson M., M. Bliemer, R. Batley, J. Bates, J. Bliemer, M. Borjesson, T. Worsley. 2019. ,,New appraisal values of travel time saving and reliability in Great Britain”. Transportation 46: 583-621. DOI: https://doi.org/10.1007/s11116-017-9798-7.
  • 8. Gavu E.K. 2010. ,,Network based indicators for prioritising the location of a new urban connection: case study Istanbul, Turkey”. MSC thesis. International Institute for Geoinformation Science and Earth Observation, Enschede, the Netherlands.
  • 9. Raju N., А. Chepuri, S. Arkatkar, G. Joshi. 2020. ,,A Simulation Study for Improving the Traffic Flow Efficiency of an Intersection Coupled with BRT”. European Transport \Trasporti Europei. Issue 75. Paper n 1. ISSN: 1825-3997.
  • 10. Bokor Zoltan, Rita Markovits-Somogyi. 2015. ,,Improved cost management at small and medium sized road transport companies: case Hungary”. Promet - Traffic & Transportation 27(5): 417-428. DOI: https://doi.org/10.7307/ptt.v27i5.1719.
  • 11. Baykasoglu A., V. Kaplanoglu. 2008. ,,Application of activity-based costing to a land transportation company: a case study”. International Journal of Production Economics 116(2): 308-324. DOI:10.1016/j. ijpe.2008.08.049.
  • 12. Lukinskiy V., V. Lukinskiy, R. Churilov. 2014. ,,Problems of the supply chain reliability evaluation”. Transport and Telecommunication 15(2): 120-129. DOI: https://www.doi.org/10.2478/ttj-2014-0011.
  • 13. Taghizadeh H., E. Hagezi. 2012. ,,The investigation of supply chain's reliability measure: a case study”. Journal of Industrial Engineering International: 8-22. DOI: https://doi.org/10.1186/2251-712X-8-22.
  • 14. Vojtov V., N. Berezchnaja, A. Kravcov, T. Volkova. 2018. ,,Evaluation of the reliability of transport service of logistics chains”. International Journal of Engineering &Technology 7(4.3): 270-274. DOI: https://doi.org/10.14419/ijet.v7i4.3.19802.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-315e8b1d-08d6-4029-8d65-4940b6ee26ed
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