| 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 |  
		View full text in PDF format 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.   |