License: Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported license (CC BY-NC-ND 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/OASIcs.ATMOS.2007.1183
URN: urn:nbn:de:0030-drops-11836
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2007/1183/
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Clausen, Jens

03. Disruption Management in PassengerTransportation - from Air to Tracks

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07001.ClausenJens.Paper.1183.pdf (0.3 MB)


Abstract

Over the last 10 years there has been a tremendous growth
in air transportation of passengers. Both airports and airspace are close
to saturation with respect to capacity, leading to delays caused by disruptions.
At the same time the amount of vehicular traffic around and
in all larger cities of the world has show a dramatic increase as well.
Public transportation by e.g. rail has come into focus, and hence also
the service level provided by suppliers ad public transportation. These
transportation systems are likewise very vulnerable to disruptions.
In the airline industry there is a long tradition for using advanced mathematical
models as the basis for planning of resources as aircraft and crew.
These methods are now also coming to use in the process of handling
disruptions, and robustness of plans has received much interest. Commercial
IT-systems supplying decision support for recovery of disrupted
operations are becoming available. The use of advanced planning and
recovery methods in the railway industry currently gains momentum.
The current paper gives a short overview over the methods used for planning
and disruption management in the airline industry. The situation
regarding railway optimization is then described and discussed. The issue
of robustness of timetables and plans for rolling stock and crew is
also addressed.


BibTeX - Entry

@InProceedings{clausen:OASIcs:2007:1183,
  author =	{Jens Clausen},
  title =	{{03. Disruption Management in PassengerTransportation - from Air to Tracks}},
  booktitle =	{7th Workshop on Algorithmic Approaches for Transportation Modeling, Optimization, and Systems (ATMOS'07)},
  series =	{OpenAccess Series in Informatics (OASIcs)},
  ISBN =	{978-3-939897-04-0},
  ISSN =	{2190-6807},
  year =	{2007},
  volume =	{7},
  editor =	{Christian Liebchen and Ravindra K. Ahuja and Juan A. Mesa},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2007/1183},
  URN =		{urn:nbn:de:0030-drops-11836},
  doi =		{10.4230/OASIcs.ATMOS.2007.1183},
  annote =	{Keywords: }
}

Collection: 7th Workshop on Algorithmic Methods and Models for Optimization of Railways (ATMOS'07)
Issue Date: 2007
Date of publication: 06.11.2007


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