Abstract
Public transportation such as train plays an important role in our daily life. However, if transport volume decreased due to the change of constraint condition (such as irregularities in the timetable of train), it’ll be shock to our society. Thus, improvement of performance will be difficult and there will be a problem that cannot achieve original goal if constraint conditions (limited speed, time until the state of traffic signal switch) change while running. In this study, we considered the application of intelligent control to the problem and developed an intelligent operating support system based on operating knowledge of expert operator by using the information of changes of constraint conditions. By providing appropriate support information to operators, we confirmed that intelligent operating support system is effective for shortening arrival time and the recovery of transport volume (improve performance) in the environment where constraint conditions change by simulation.
