Optimizing rolling stock circulation and depot location in Railway Rapid Transit Systems
We focus on Railway Rapid Transit Systems and propose a general mixed integer programming model to design rolling stock circulation plans, simultaneously considering the problem of determining the number and location of rest facilities. We propose a three-phase sequential solving approach that takes advantage of the problem structure. The first phase determines the minimum number of vehicles required to perform the weekly train schedule. In a second phase, we obtain the set of daily routes that must be performed at each line and day. In a third stage, we aim to minimize empty movements and to equilibrate the number of kilometers covered by each unit. For that aim, we propose a Genetic Algorithm that considers these objectives within the problem of determining weekly circulations and depot locations. This solving approach is illustrated by designing a rotating rolling stock plan for the RRT Network of Seville.
Palabras clave / Keywords: railway rapid transit networks rolling stock circulation facility location genetic algorithm
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