Keleivinių traukos riedmenų geležinkelio magistralei "Rail Baltica" parinkimo algoritmas

Steišūnas, Stasys

Use this URL to cite this publication: https://hdl.handle.net/20.500.14911/140162

Keleivinių traukos riedmenų geležinkelio magistralei "Rail Baltica" parinkimo algoritmas

Details

Publication Type (CRIS)

Straipsnis konferencijos medžiagoje Web of Science duomenų bazėje / Article in conference proceedings in Web of Science database (P1a1)

Publication Type (eLABa)

Straipsnis konferencijos darbų leidinyje Web of Science DB / Article in conference proceedings Web of Science DB (P1a)

Author(s)

Title

Keleivinių traukos riedmenų geležinkelio magistralei "Rail Baltica" parinkimo algoritmas

[lt]

S. Steišūnas

Title in other language

Algorithm of selection of passengers traction rolling-stock for line "Rail Baltica"

[en]

Is part of

Transport Means - 2012: proceedings of the 16th international conference, October 25-26, 2012, Kaunas University of Technology, Lithuania

Published In

Year	Start Page	End Page
2012	31	36

Publisher

Kaunas : Technologija, 2012

Referenced in Database(s)(DBs)

Conference Proceedings Citation Index - Science (Web of Science)

SCOPUS

Extent

p. 31-36

URI

URI
https://hdl.handle.net/20.500.14911/140162

Cited references

Science / Art Area

Technologijos mokslai / Technological sciences (T)

Field of Science / Art

Transporto inžinerija / Transport engineering (T003)

Keywords (en)

Abstract (en)

The passenger traction rolling-stocks of Lithuania and neighbours countries are describes in this article. The main technical data of rolling-stock are analysed and compared. The algorithm of selection of the most rational traction rolling-stock for passenger transportation by new building railway line "Rail Baltica" is presented taking into acount the prediction of international passenger flows in this line. The rolling-stock operation efficiency is determined by three multicriteria methods: the sum of ratings, simple additive weighting, and the geometric mean method. Rolling-stocks are valued in accordance with technical, economic and ecological parameters. Finally, the main conclusions are given.