Real-time railway network simulation and alleviating congestion of crowded trains

In the railway transportation service, on-time operation of trains is important. However, once an accident occurs, on-time operation becomes difficult due to a change of the passenger flow pattern. In this case, it is crucial to estimate the changing pattern. This paper presents a real-time Tokyo Metro Railway Network simulator “KUTTY”, which can immediately estimate the change of the passenger flow pattern even if an accident occurs at the busiest area. Moreover, we have presented a rescheduling method of homogenization to alleviate congestion of crowded train. It is found that our method is more efficient than the conventional one.