LeHavreV1, France, Analysis, bibRecord, 000943

Constraint Programming and Mixed Integer Linear Programming for Rescheduling Trains under Disrupted Operations

Identifieur interne : 000943 ( France/Analysis ); précédent : 000942; suivant : 000944

Constraint Programming and Mixed Integer Linear Programming for Rescheduling Trains under Disrupted Operations

Auteurs : Rodrigo Acuna-Agost [France] ; Philippe Michelon [France] ; Dominique Feillet [France] ; Serigne Gueye [France]

Source :

Lecture Notes in Computer Science [ 0302-9743 ] ; 2009.

RBID : ISTEX:E29CCF690B543D3D31748A1F715CD80650AC0F88

Abstract

Abstract: The problem of rescheduling trains under disrupted operations has received more attention in the last years because of the increasing demand in railway transportation. Railway networks are more and more saturated and the probability that delayed trains affect others is large. Therefore, it is very important to react after incidents by recalculating new arrival/departure times and reassigning tracks/platforms with the aim of minimizing the effect of propagation of incidents.

Url:

https://api.istex.fr/document/E29CCF690B543D3D31748A1F715CD80650AC0F88/fulltext/pdf

DOI: 10.1007/978-3-642-01929-6_24

Affiliations:

Links toward previous steps (curation, corpus...)

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to stream Istex, to step Curation: 000447
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to stream Main, to step Curation: 000C33
to stream Main, to step Exploration: 000C33
to stream France, to step Extraction: 000943

Links to Exploration step

ISTEX:E29CCF690B543D3D31748A1F715CD80650AC0F88

Le document en format XML

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<author><name sortKey="Michelon, Philippe" sort="Michelon, Philippe" uniqKey="Michelon P" first="Philippe" last="Michelon">Philippe Michelon</name>
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<author><name sortKey="Feillet, Dominique" sort="Feillet, Dominique" uniqKey="Feillet D" first="Dominique" last="Feillet">Dominique Feillet</name>
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<front><div type="abstract" xml:lang="en">Abstract: The problem of rescheduling trains under disrupted operations has received more attention in the last years because of the increasing demand in railway transportation. Railway networks are more and more saturated and the probability that delayed trains affect others is large. Therefore, it is very important to react after incidents by recalculating new arrival/departure times and reassigning tracks/platforms with the aim of minimizing the effect of propagation of incidents.</div>
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   |texte=   Constraint Programming and Mixed Integer Linear Programming for Rescheduling Trains under Disrupted Operations
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Constraint Programming and Mixed Integer Linear Programming for Rescheduling Trains under Disrupted Operations

Constraint Programming and Mixed Integer Linear Programming for Rescheduling Trains under Disrupted Operations

Source :

Abstract

Links toward previous steps (curation, corpus...)

Links to Exploration step

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

Pour mettre un lien sur cette page dans le réseau Wicri