Modelling the Human Operator Decision Making for Railway Traffic Control Based on Intelligence of Computing Techniques

In this paper by modelling of human operator decision making and incorporating new ideas, based on fuzzy modelling, efficient controllers for urban railway traffic are designed. The main objective of this work is to overcome on timetable deviations of train and time disturbances occurring in stations or among the route due to train stopping or running. The proposed method which is close to thinking of traffic operators is useful in urban railway systems.