Microscopic Models and Network Transformations for Automated Railway Traffic Planning

Research output: Contribution to journalArticleScientificpeer-review

12 Citations (Scopus)
35 Downloads (Pure)


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.

Original languageEnglish
Pages (from-to)89 - 106
Number of pages18
JournalComputer-Aided Civil and Infrastructure Engineering
Issue number2
Publication statusE-pub ahead of print - 2016

Fingerprint Dive into the research topics of 'Microscopic Models and Network Transformations for Automated Railway Traffic Planning'. Together they form a unique fingerprint.

Cite this