Microscopic Models and Network Transformations for Automated Railway Traffic Planning

Publikation: Beitrag in FachzeitschriftForschungsartikelBeigetragenBegutachtung

Beitragende

  • Nikola Bešinović - , Technische Universität Delft (Autor:in)
  • Rob M.P. Goverde - , Technische Universität Delft (Autor:in)
  • Egidio Quaglietta - , Network Rail (Autor:in)

Abstract

This article tackles the real-world planning problem of railway operations. Improving the timetable planning process will result in more reliable product plans and a higher quality of service for passengers and freight operators. We focus on the microscopic models for computing accurate track blocking times for guaranteeing feasibility and stability of railway timetables. A conflict detection and resolution model manages feasibility by identifying conflicts and computing minimum headway times that provide conflict-free services. The timetable compression method is used for computing capacity consumption and verifying the stability according to the UIC Capacity Code 406. Furthermore, the microscopic models have been incorporated in a multilevel timetabling framework for completely automated generation of timetables. The approach is demonstrated in a real-world case study from the Dutch railway network. Practitioners can use these microscopic timetabling models as an important component in the timetabling process to improve the general quality of timetables.

Details

OriginalspracheEnglisch
Aufsatznummer2
Seiten (von - bis)89-106
Seitenumfang18
FachzeitschriftComputer-Aided Civil and Infrastructure Engineering
Jahrgang32
Ausgabenummer2
PublikationsstatusVeröffentlicht - 1 Feb. 2017
Peer-Review-StatusJa
Extern publiziertJa

Externe IDs

Scopus 84959008100
ORCID /0000-0003-4111-2255/work/142246337