Role-Aware Agentic Retrieval-Augmented Generation for Urban Rail Transit Fault Management
Urban rail transit systems require reliable decision-support methods to assist operators in handling complex fault events. Although large language models provide strong reasoning and knowledge integration capabilities, their open-ended generation may produce responses that are difficult to align with operational proced...