Sistema de decisão baseado em algoritmos inteligentes para o gerenciamento do fluxo de trens

Abstract

With the increasing volume of agricultural commodities exported by Brazil, along with the development of logistics companies, this study presents the development of a decision-making system based on intelligent algorithms to optimize train flow management on Brazilian railways. Aiming to improve energy efficiency and reduce driving time, the research employs Fuzzy logic to propose a decision system that balances train flow, avoiding port saturations, as well as lack of assets for unloading and unnecessary stops. The study highlights the importance of the railway mode in Brazil, emphasizing its advantages in terms of safety and energy efficiency. The results indicate that the application of the proposed system can lead to significant improvements in railway operations, promoting more agile and sustainable transportation.