A proposal of intelligent operating method considering the change of constraint conditions

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 proposed an operating method considering the change of constraint conditions by intelligent control using an intelligent operating support system based on operating knowledge of expert operators in the dynamic environment. By providing appropriate support information to operators, it is confirmed that the proposed method is effective for shortening arrival time and the recovery of transport volume in such environment.