A Crew Scheduling Approach for Public Transit Enhanced with Aspects from Vehicle Scheduling

This paper presents a new approach for solving the crew scheduling problem in public transit. The approach is based on interaction with the corresponding vehicle scheduling problem. We use a model of the vehicle scheduling problem which is based on a time-space network formulation. An advantage of this procedure is that it produces a bundle of optimal vehicle schedules, implicitly given by the solution flow. In our approach, we give this degree of freedom to the crew scheduling phase, where a vehicle schedule is selected that is most consistent with the objectives of crew scheduling.

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