Work

Evaluation of Linear-Quadratic Optimal Control in Automatic Train Operation (ATO) during Unplanned Event

Year: 2024

Type: conference-paper

Abstract: Automatic Train Operation (ATO) systems have become essential in urban rail networks with the aim of minimizing human error, improving punctuality, and optimizing energy consumption. However, unplanned incidents, such as post-automatic train protection (ATP) or driver interventions, reduce the performance of the designed ATO. This study aims to evaluate the ability of the optimal quadratic control strategy to deal with ATO during unplanned events, including driver intervention. By simulating various scenarios and analyzing key performance indicators, this research provides information on the robustness, adaptability, and overall contribution of the strategy to the reliability of ATO systems. The findings inform improvements in control algorithms, ultimately improving the resilience and efficiency of urban rail systems.

Source: International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications (ICRAMET)

DOI: 10.1109/icramet62801.2024.10809209

Authors: Zaid Cahya, Chouki Sentouh, Estiko Rijanto, Jean-Christophe Popieul, Tsani Hendro Nugroho, Prasetyo Putranto

Institutions: National Research and Innovation Agency, Centre National de la Recherche Scientifique, Laboratoire d'Automatique, de Mécanique et d'Informatique Industrielles et Humaines, Université de Valenciennes et du Hainaut-Cambrésis

Language: English

Topic: Railway Systems and Energy Efficiency

Subfield: Industrial and Manufacturing Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Sustainable cities and communities

Open Access status: green

Funder: Badan Riset dan Inovasi Nasional