Download PDFOpen PDF in browser

Applied Timetabling for Railways: Experiences with Several Solution Approaches

EasyChair Preprint no. 887

9 pagesDate: April 9, 2019

Abstract

As part of the smartrail 4.0 program, SBB is focusing with the project TMS (Traffic Management System) on algorithmic supported, optimized and integrated capacity planning. For solving this problem, we have experimented with different approaches from the literature and have compared their quality and performance for our specific instances. In this contribution, we present the results of this comparison and discuss how we want to use this for having the best possible solution for our ambitious goal.

Keyphrases: Alternative Graph, Constraint Programming, machine learning, mathematical modeling, MILP, Service Intention, Timetabling, Train scheduling

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@Booklet{EasyChair:887,
  author = {Julian Jordi and Ambra Toletti and Gabrio Caimi and Kaspar Schüpbach},
  title = {Applied Timetabling for Railways: Experiences with Several Solution Approaches},
  howpublished = {EasyChair Preprint no. 887},
  doi = {10.29007/w6vc},
  year = {EasyChair, 2019}}
Download PDFOpen PDF in browser