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A rapid transit system is called robust if it maintains its functionality under perturbations. To be robust, strategies for producing less vulnerable plans and procedures of recovery actions in case of disruptions (including timetable adjustment, rolling stock re-scheduling and crew re-scheduling) are used. This paper deals with the first task and develops an effective plan for allocating fleet frequencies at stops along a line based on three objectives: minimizing passenger overload, maximizing passenger mobility and minimizing passenger loss. Schedules for decongesting and recovering the line are determined by means of optimization models. Heuristic approaches are discussed and computational results for a real case study are provided.