Case-based reasoning and rule-based reasoning for railway incidents prevention

Abstract

This paper presents a knowledge-based approach for preventing railway operation incidents, which helps railway operation professionals explore opportunities for dispatch quality improvement. The approach consists of two processors: incident analysis and dispatch advisory. Given a specific operation incident description, the proposed approach enables the identification of underlying problems in the incident and the suggestion of appropriate dispatch strategies that can be implemented to prevent repetitions of similar incidents. Case-based reasoning (CBR) and rule-based reasoning (RBR) are applied to generate dispatch strategies by adapting ones applied to previous incidents and/or using generalised rule-based knowledge for dispatch.