A Fuzzy Petri Nets approach for railway traffic control in case of abnormality: Evidence from Taiwan railway system
Railway traffic control by dispatchers in case of abnormality is critical to assure the service quality of a railway systems operation. However, this unique professional knowledge often lies in the dispatchers mind. Therefore, this study aims to transform a train dispatchers expertise into a useful knowledge rule. The fuzzy Petri Net approach is adopted to formulate the decision rules of train dispatchers in case of abnormality as the basis for future development of a dispatching decision support system. The dispatching decision rules, factors, and possible options when perturbation happens are collected via expert interviews and literature reviews. This study discusses the abnormal scenarios, including centralized traffic control system failure, automatic train protection failure, and locomotive failure. A case study of a line section of Taiwans railway network is implemented and the empirical result could be used as a reference in railway dispatching in case of abnormality.
fuzzy petri nets abnormality train dispatching