An approach to eliminate train route setting errors through application of parallel monitoring

The problems with existing train route setting systems are analyzed and a solution is proposed. The principle and methodology of using parallel monitoring to supervise train route setting based on virtual image technique are described. A designed architecture is illustrated and elaborated for a good understanding of the system. A case study of a Stochastic Petri Net (SPN) model using the proposed parallel monitoring is given, based on which the safety of the system is analyzed.