EconPapers    
Economics at your fingertips  
 

The Importance of Automatic Timetabling for a Railway Infrastructure Company

Daniel Poehle () and Werner Weigand ()
Additional contact information
Daniel Poehle: DB Netz
Werner Weigand: DB Netz

A chapter in Operations Research Proceedings 2012, 2014, pp 487-492 from Springer

Abstract: Abstract The DB Netz AG is the most important railway infrastructure company in Germany and operates a railway network with a total length of about 34,000 km. One of the main tasks is to generate timetables to sell train-paths or enhance the infrastructure by eliminating bottlenecks. The creation of a timetable for the complete network is complex and time-consuming so there are efforts to atomize this process in essential parts. The software-system TAKT of the professorship “Verkehrsstroemungslehre” at the TU Dresden automatically generates timetables for complex railway networks on the base of periodic event scheduling problems (PESP) by using specialized algorithms. It provides practically useful solutions in appropriate runtimes because of its up to date techniques like a SAT-solver and an innovative routing-algorithm, which finds a well-suited train-path in the network automatically. To calculate a timetable for the whole Eastern German long-distance, regional and local traffic the solver needs a computation time of only few hours. In summary with the use of TAKT at DB Netz timetables for passenger and freight traffic can be generated automatically with a great quality in a very short time.

Keywords: Feasible Schedule; Capacity Management; Freight Transport; Railway Network; Automatic Timetabling (search for similar items in EconPapers)
Date: 2014
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:oprchp:978-3-319-00795-3_73

Ordering information: This item can be ordered from
http://www.springer.com/9783319007953

DOI: 10.1007/978-3-319-00795-3_73

Access Statistics for this chapter

More chapters in Operations Research Proceedings from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-04-01
Handle: RePEc:spr:oprchp:978-3-319-00795-3_73