EconPapers    
Economics at your fingertips  
 

Train Dispatching

Leonardo Lamorgese (), Carlo Mannino (), Dario Pacciarelli () and Johanna Törnquist Krasemann ()
Additional contact information
Leonardo Lamorgese: Optrail
Carlo Mannino: SINTEF DIGITAL & University of Oslo
Dario Pacciarelli: Università degli Studi Roma Tre, Dipartimento di Ingegneria
Johanna Törnquist Krasemann: BTH - Blekinge Institute of Technology

Chapter Chapter 12 in Handbook of Optimization in the Railway Industry, 2018, pp 265-283 from Springer

Abstract: Abstract Train rescheduling rescheduling problems have received significant attention in the operations research community during the past 20–30 years. These are complex problems with many aspects and constraints to consider. This chapter defines the problem and summarizes the variety of model types and solution approaches developed over the years, in order to address and solve the train dispatching problem from the infrastructure manager perspective. Despite all the research efforts, it is, however, only very recently that the railway industry has made significant attempts to explore the large potential in using optimization-based decision-support to facilitate railway traffic disturbance management. This chapter reviews state-of-practice and provides a discussion about the observed slow progress in the application of optimization-based methods in practice. A few successful implementations have been identified, but their performance as well as the lessons learned from the development and implementation of those system are unfortunately only partly available to the research community, or potential industry users.

Date: 2018
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:isochp:978-3-319-72153-8_12

Ordering information: This item can be ordered from
http://www.springer.com/9783319721538

DOI: 10.1007/978-3-319-72153-8_12

Access Statistics for this chapter

More chapters in International Series in Operations Research & Management Science from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-04-01
Handle: RePEc:spr:isochp:978-3-319-72153-8_12