Development of Intelligent Operating Support System Shortening Arrival Time by Consideration of the Change of Constraint Conditions

Abstract

Train plays an important role as public transportation in our daily life. However, if transport volume decreased due to irregularities in the timetable of train, it'll be shock to our society. In that case, it is needed for train operators to recover the transport volume by their operating skills. In this study, we considered operation of expert operators and developed an intelligent operating support system which is considering the change of constraint conditions based on the knowledge of expert operators in the dynamic environment. By providing appropriate operating support information to operators, it is confirmed that the developed intelligent operating support system is effective for shortening arrival time and the recovery of transport volume in such environment.