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Structure and Simulation Evaluation of an Integrated Real-Time Rescheduling System for Railway Networks

Luethi M.
•
MEDEOSSI, GIORGIO
•
Nash A.
2009
  • journal article

Periodico
NETWORKS AND SPATIAL ECONOMICS
Abstract
A critical problem faced by railways is how to increase capacity without investing heavily in infrastructure and impacting on schedule reliability. One way of increasing capacity is to reduce the buffer time added to timetables. Buffer time is used to reduce the impact of train delays on overall network reliability. While reducing buffer times can increase capacity, it also means that small delays to a single train can propagate quickly through the system causing knock-on delays to trains impacted by the delayed train. The Swiss Federal Railways (SBB) and Swiss Federal Institute of Technology (ETH) are researching a new approach for real-time train rescheduling that could enable buffer times to be reduced without impacting schedule reliability. This approach is based on the idea that if trains can be efficiently rescheduled to address delays, then less buffer time is needed to maintain the same level of system schedule reliability. The proposed approach combines a rescheduling algorithm with very accurate train operations (using a driver-machine interface). This paper describes the proposed approach, some system characteristics that improve its efficiency, and results of a microscopic simulation completed to help show the effectiveness of this new approach. The results demonstrate that the proposed integrated real-time rescheduling system enables capacity to be increased and may reduce knock-on delays. The results also clearly showed the importance of accurate train operations on the rescheduling system's effectiveness.
DOI
10.1007/s11067-008-9085-4
Archivio
http://hdl.handle.net/11368/2721689
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-59749105988
Diritti
metadata only access
Soggetti
  • Microscopic railway s...

  • Rail traffic operatio...

  • Real-time reschedulin...

Scopus© citazioni
14
Data di acquisizione
Jun 14, 2022
Vedi dettagli
Web of Science© citazioni
10
Data di acquisizione
Mar 13, 2024
Visualizzazioni
1
Data di acquisizione
Apr 19, 2024
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