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Dynamic Event-Activity Networks in Public Transportation

dc.contributor.authorMüller-Hannemann, Matthias
dc.contributor.authorRückert, Ralf
dc.date.accessioned2018-01-08T08:07:53Z
dc.date.available2018-01-08T08:07:53Z
dc.date.issued2017
dc.description.abstractReal-time timetable information and delay management in public transportation systems are two challenging applications which can be modeled as optimization problems on dynamically changing, large and complex graphs, so-called event-activity networks.We describe both applications in detail, review the state-of-the-art and explain the requirements for systems solving these problems in a productive environment. Focussing on recent research on decision support for train dispatchers, we sketch the system architecture for the software prototype PANDA.
dc.identifier.pissn1610-1995
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/11013
dc.publisherSpringer
dc.relation.ispartofDatenbank-Spektrum: Vol. 17, No. 2
dc.relation.ispartofseriesDatenbank-Spektrum
dc.titleDynamic Event-Activity Networks in Public Transportation
dc.typeText/Journal Article
gi.citation.endPage137
gi.citation.startPage131

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