Larisa Valentinovič
, Henrikas Sivilevičius
Railway line capacity methods analysis and their application in
“Lithuanian Railways” justification
Conference Information: |
9th International Conference on Environmental
Engineering, MAY 22-24, 2014 Vilnius, LITHUANIA |
Source: |
ICEE-2014 - International Conference on Environmental
Engineering |
Book Series: |
International Conference on Environmental Engineering
(ICEE) Selected papers |
ISSN: |
ISSN 2029-7092 online |
ISBN: |
978-609-457-640-9 / 978-609-457-690-4 CD |
Year: |
2014 |
Publisher: |
Vilnius Gediminas Technical University Press Technika |
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Abstract
This article is aimed at analyzing different methods of calculation of railway capacity of lines and applying them in “Lithuanian
Railways”, improving efficiency of railroad traffic management by using new and modern technologies, integrated into the new Traffic
Management Centre (TMC) and its related systems, allowing the compression of railroad traffic schedule and facilitating conflict
resolution during planning time by using new technologies. To assure new traffic prevision for “Lithuanian Railways”, a new calculation
method must be used, as today it is being used an old analytical method for capacity calculation on railway line, and this old calculation
method does not allow the optimization of the use of the railway network. It is necessary to analyze new programming methods for
calculating the train graph and its compression to adopt it in order to optimize the use of the network. This paper will present three
methods used for calculating capacity consumption on railway lines and the results of applying one of them, the UIC 406 method, in a
practice case. The practice case consist of adding two new trains in an already calculated schedule for the increment of the use of a line,
using the new techniques for automatically detect the conflicts that appear after adding these new trains and solving the conflict. This
paper will also present the statistical of how passenger’s train demand increases passengers flow.
Keywords: railways line; capacity consumption; train graph; compression of train graph; multiagent solution; iterative application.
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