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Titlebook: Computer-Aided Transit Scheduling; Proceedings of the F Joachim R. Daduna,Anthony Wren (Senior Lecturer) Conference proceedings 1988 Spring

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The Object of IMC: StakeholdersThe network-based bus scheduling problem consists of optimally linking trips to form work for individual buses operating in an urban area. A large number of short trips are considered and splited into groups so that all trips in the same group can be connected to form a feasible schedule for a bus, begining and ending at the same bus garage.
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https://doi.org/10.1007/978-3-642-04531-8Rodoviária Nacional (RN) is the largest mass road transport company in Portugal and one of the biggest in Europe. RN was founded in 1976 as a result of the nationalization of 93 different passengers and freight road transport companies.The main activity of RN consists in suburban and regional bus transport of passengers all over Portugal.
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Maja Smrkolj LL.M. (Heidelberg)The Operation Planning System MICROBUS is designed as a desktop implementation for use in the operational planning departments of transport companies. It consists of the system modules microfahrplan (transport and vehicle scheduling) and microdienstplan (crew scheduling) [4].
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Bettina Schöndorf-Haubold Dr. iur.The objectives of crew scheduling and crew rostering in public transport can be summarized as follows:
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A Lagrangian Relaxation Based Heuristic for the Urban Transit Crew Scheduling ProblemThe transit crew scheduling problem that we consider involves the determination of a set of work days for transit crews that cover all required vehicle movements at minimum cost. This problem is a fundamental one in the transit industry since labor costs predominate in nearly all large transit properties.
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CREW-OPT: Crew Scheduling by Column Generation (Extended abstract)Three main types of algorithms to solve the urban transit crew scheduling problem have been I developed and used in practice: the Runcutting, the HASTUS and the Set Covering methods. In this J paper, we will restrict ourself to the solution of the Set Covering method using a column generation approach.
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