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Christian Doppler Labor - Modul 2: Für effizientes Resourcen Management im öffentlichen Transport

  • Bögl, Michael (Forscher*in)
  • Kurz, Andrea (Forscher*in)
  • Dörner, Karl (Projektleiter*in)

Projekt: Geförderte ForschungCDG - Christian Doppler Forschungsgesellschaft

Projektdetails

Beschreibung

Planning the public transportation network in larger cities, such as Vienna, is a big challenge for the providers. The public transportation modes, e.g. buses, trams, or subways, follow a scheduled timetable that respects different capacity restrictions in rolling stock, maintenance activities, available staff resources, or others. The primary aim of Module 2 Efficient resource management in public transportation is to develop new solution methods based on operations research techniques to optimize the efficient resource planning and management in public transportation networks. Multiple objectives and conflicting goals, e.g. costs and service quality, are typical in real-world scenarios. In addition, large-scale problems even complicate the solution procedure. From the practical point of view, it is very often the case that delays and breakdowns, e.g. of a subway, occur. Therefore, solution methods solving multi-objective problems and generating robust solutions are necessary to handle problems in public transportation. The existing module entitled Efficient resource management in intermodal transportation of the present CD laboratory for efficient intermodal transport operations is directed towards intensive research in the areas of freight and passenger transportation. Especially the interests of passenger transportation lie in flexible semi-service transit systems and on-demand transportation in rural areas, thus the new module is a perfect complement of the existing research in the CD laboratory.
StatusAbgeschlossen
Tatsächliches Beginn-/Enddatum06.02.201406.02.2014

Projektbeteiligte

Wissenschaftszweige

  • 502017 Logistik
  • 502052 Betriebswirtschaftslehre
  • 502037 Standortplanung
  • 101016 Optimierung
  • 502 Wirtschaftswissenschaften
  • 502028 Produktionswirtschaft
  • 502050 Wirtschaftsinformatik
  • 101015 Operations Research
  • 102 Informatik

JKU-Schwerpunkte

  • Sustainable Development: Responsible Technologies and Management
  • Digital Transformation