Methodology and Algorithms for Railway Crew Management

Abstract Crew management problems are highly important for many transportation systems such as airlines, railways and public bus transportation. Despite recent advances, scheduling methodologies and decision support systems still need improvement, especially their computational efficiency, practical feasibility and use. This paper briefly overview classic crew management approaches. It discusses various practical issues concerning classic methods and suggests a new approach and algorithms. Computational results and experience with actual data and real world situations are also reported.