Abstract
This paper presents a new traffic regulation model for metro lines that is based on the optimization of a cost function along a time horizon. The resulting control actions modify nominal running times and dwell times in order to compensate timetable and headway deviations. The proposed quadratic programming model is suitable to include the main operation constraints efficiently: minimum interval, limits in the control actions and the typical operation criterion of preventing the actuation of signaling systems between platforms. Quadratic programming models are computationally efficient, and this allows the execution of the control loop every few seconds, and the management of long time horizons. In consequence, regulation performance and stability is improved, and the tuning of regulation parameters according to the operation requirements is simplified. The paper describes the simulation results of the proposed regulation model applied to a realistic metro line. A traffic perturbation model has been considered in order to analyze the stability of the line with different configuration parameters of the controller.
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