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Titlebook: Computer-Aided Transit Scheduling; Proceedings, Cambrid Nigel H. M. Wilson Conference proceedings 1999 Springer-Verlag Berlin Heidelberg 19

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Solution of Large-Scale Railway Crew Planning Problems: the Italian Experiencehe operational/regulation constraints involved. This paper describes the development of a new crew planning system set up by Ferrovie dello Stato SpA (the Italian railway company) in co-operation with the University of Bologna.
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Exact Algorithms for the Multi-Depot Vehicle Scheduling Problem Based on Multicommodity Network Flowcommodity network flow formulation, in the sense that it contains just one type of variable and fewer constraints than the previous model. Computational experience is presented to compare the two algorithms.
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Knowledge-Based Decision Support System for Real-Time Train Traffic Controlof relevant information, prediction of certain dispatching measures’ impacts, and proposals for appropriate dispatching actions. Thus, the decision support system should significantly improve traffic performance, reliability, and customer satisfaction.
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Conference proceedings 1999s held at th th the Massachusetts Institute of Technology from August 5 to 8 , 1997. In the tradition of alternating Workshops between North American and Europe - Chicago (1975), Leeds (1980), Montreal (1983), Hamburg (1986), Montreal (1990), and Lisbon (1993), Cambridge (Massachusetts, USA) was sel
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Solution of Large-Scale Railway Crew Planning Problems: the Italian Experiencetions have also come on the scene. This is especially true in Europe, where deregulation and privatization edicts are forcing a re-organization of the rail industry and better productivity and more efficient services are strongly required by the market and the public. Therefore, this sector is showi
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An Improved ILP System for Driver Schedulingoblem. However the problem frequently is too large for mathematical programming to be able to guarantee an optimal schedule. TRACS II, developed at the University of Leeds, is one such mathematical programming-based scheduling system. Several improvements and alternative solution methods have now be
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An Exact Branch and Cut Algorithm for the Vehicle and Crew Scheduling Problemng that cover a great variety of real world aspects, including constraints for crews resulting from wage agreements and company regulations. The main part of the model consists of a set partitioning formulation to cover each trip. A column generation algorithm is implemented to calculate the continu
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