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dc.contributor.authorMannino, Carlo
dc.contributor.authorLamorgese, Leonardo Cameron
dc.contributor.authorPiacentini, Mauro
dc.date.accessioned2018-03-22T06:42:43Z
dc.date.available2018-03-22T06:42:43Z
dc.date.created2018-03-21T11:05:13Z
dc.date.issued2017
dc.identifier.citationAdvances and trends in optimization with engineering applications, 2017, (Chapter 6), 65-75nb_NO
dc.identifier.isbn978-1-611974-67-6
dc.identifier.urihttp://hdl.handle.net/11250/2491584
dc.description.abstractTrains moving in railway systems are often affected by delays or cancellations. This in turn may produce knock-on effects and propagate to other trains and other regions of the network. These undesired effects may be alleviated by suitably rerouting and rescheduling trains in real time. Train dispatching is thus a central task in managing railway systems because it allows recovery from undesirable deviations from the timetable and a better exploitation of railway resources. With few exceptions, dispatching is still almost entirely in the hands of human operators, despite the fact that it is a large and complex optimization problem that does not lend itself to manual solution. In this chapter, we describe how integer programming (IP) can be exploited to quickly find optimal solutions to large dispatching problems and describe real-life implementations of these ideas.nb_NO
dc.language.isoengnb_NO
dc.relation.ispartofAdvances and trends in optimization with engineering applications
dc.titleInteger Programming Techniques for Train Dispatching in Mass Transit and Main Linenb_NO
dc.typeChapternb_NO
dc.description.versionacceptedVersionnb_NO
dc.source.pagenumber65-75nb_NO
dc.identifier.cristin1574595
cristin.unitcode7401,90,11,0
cristin.unitnameAnvendt matematikk
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1


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