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Crew scheduling is a very well known problem which has been historically associated with airlines and mass transit companies; recently also railway applications have come on the scene. This now happens especially in Europe, where deregulation and privatization issues are forcing a reorganization of the rail industry and better productivity and eecient(More)
Crew management is concerned with building the work schedules of crews needed to cover a planned timetable. This is a well-known problem in Operations Research and has been historically associated with airlines and mass-transit companies. More recently, railway applications have also come on the scene, especially in Europe. In practice, the overall crew(More)
The train timetabling problem (TTP) aims at determining an optimal timetable for a set of trains which does not violate track capacities and satisfies some operational constraints. In this paper, we describe the design of a train timetabling system that takes into account several additional constraints that arise in real-world applications. In particular,(More)
The increasing amount of train traac highlights the necessity of automated tools for decision support, mainly when the availability of tracks is known on a day-by-day basis and no long-term schedules can be made. The paper describes the use of CaseLP, a logic programming based environment for developing multi-agent system prototypes, to face the management(More)
Applications dealing with railway traffic management have been usually modeled adopting classical technologies such as Operations Research and Constraint Programming. These technologies are suitable to model static situations where the informationis complete, but they lack to cope with the dynamics and uncertainty of freight trains traffic management. The(More)
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