NDLI: Rescheduling models for railway traffic management in large-scale networks

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Rescheduling models for railway traffic management in large-scale networks

Content Provider	Springer Nature Link
Author	Kecman, Pavle Corman, Francesco D’Ariano, Andrea Goverde, Rob M. P.
Copyright Year	2013
Abstract	In the last decades of railway operations research, microscopic models have been intensively studied to support traffic operators in managing their dispatching areas. However, those models result in long computation times for large and highly utilized networks. The problem of controlling country-wide traffic is still open since the coordination of local areas is hard to tackle in short time and there are multiple interdependencies between trains across the whole network. This work is dedicated to the development of new macroscopic models that are able to incorporate traffic management decisions. Objective of this paper is to investigate how different levels of detail and number of operational constraints may affect the applicability of models for network-wide rescheduling in terms of quality of solutions and computation time. We present four different macroscopic models and test them on the Dutch national timetable. The macroscopic models are compared with a state-of-the-art microscopic model. Trade-off between computation time and solution quality is discussed on various disturbed traffic conditions.
Starting Page	95
Ending Page	123
Page Count	29
File Format	PDF
ISSN	1866749X
Journal	Public Transport
Volume Number	5
Issue Number	1-2
e-ISSN	16137159
Language	English
Publisher	Springer Berlin Heidelberg
Publisher Date	2013-03-12
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Alternative graph Delay propagation Macroscopic modeling Railway traffic management Timed event graph Operations Research/Decision Theory Automotive Engineering Computer-Aided Engineering (CAD, CAE) and Design Transportation
Content Type	Text
Resource Type	Article
Subject	Management Science and Operations Research Information Systems Transportation Mechanical Engineering

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