Recent computational developments for large scale multiple depot vehicle scheduling problems:

Abstract: "This paper presents an integer linear programming approach with delayed column generation for the NP-hard Multiple-Depot Vehicle Scheduling Problem (MDVSP) in public mass transit. We describe in detail all basic ingredients of our approach that are indispensable to solve truly large-...

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Bibliographische Detailangaben
1. Verfasser: Löbel, Andreas 1967- (VerfasserIn)
Format: Buch
Sprache:English
Veröffentlicht: Berlin Konrad-Zuse-Zentrum für Informationstechnik 1997
Schriftenreihe:Preprint SC / Konrad-Zuse-Zentrum für Informationstechnik Berlin 1997,17
Schlagworte:
Zusammenfassung:Abstract: "This paper presents an integer linear programming approach with delayed column generation for the NP-hard Multiple-Depot Vehicle Scheduling Problem (MDVSP) in public mass transit. We describe in detail all basic ingredients of our approach that are indispensable to solve truly large-scale real-world instances to optimality, and we report on computational investigations that are based on real-world instances from the city of Berlin, the city of Hamburg, and the region around Hamburg. These real-world instances have up to 25 thousand timetabled trips and 70 million dead-head trips. Computational tests using the data of the Hamburger Hochbahn AG indicate savings of several vehicles and a cost reduction of about 10% compared with the solution provided by HOT II, the vehicle scheduling tool of the HanseCom GmbH, Hamburg. Parts of our algorithms are already integrated in the BERTA system of the Berliner Verkehrsbetriebe (BVG) and will soon be integrated in the MICROBUS system of the Gesellschaft für Informatik, Verkehrs- und Umweltplanung mbH (IVU), Berlin."
Beschreibung:21 S.

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