A Study on Hybrid Train Traffic Simulation System
Norio TOMII, Hiroshi IKEDA
A new simulation method for train traffic rescheduling is introduced. This method
combines a critical path method with a knowledge based method. The knowledge base
is used to minimize the delays caused by crossover conflicts, which is one of the
most crucial issues in train traffic rescheduling.
Unlike the conventional simulation methods, this method has two advantages: one is
that the processing speed is quite fast, and the other is that the train traffic
rescheduling can be performed concurrently with the simulation process.
We have examined the effectiveness of this method through several experiments.