Desarrollo y simulación del subsistema de operación automático para trenes

Abstract

In order to improve service quality, increase operational efficiency and safety, and reduce operating and environmental costs in current railway transportation systems, this work presents the development of an Automatic Train Operation (ATO) subsystem. Specifically, it focuses on the mesoscopic layer, which refers to the planner responsible for generating control signals to be provided to the microscopic layer associated with the powertrain module. It is worth noting that while this development does not introduce significant novelty, it represents a fundamental step towards future innovative contributions in this research area. Therefore, the train has been modelled based on its longitudinal dynamics and an initial algorithm has been implemented, to plan and regulate the train’s speed to meet the specifications imposed by the macroscopic layer. The proposed solution has been validated through simulations incorporating various disturbances on the track. The analysis of the results obtained in this work confirms that the development successfully accomplishes the main objective, facilitating the way for future algorithm improvement through the implementation of intelligent control techniques.