Monitoring of a Railway Transport Networks Based on the Study of Effective Sojourn Time

Abstract

The paper proposes a new approach for surveillance of a railway transport systems. The studied system is modeled by Stochastic P-time Petri Nets (SP-TPN). The proposed monitoring approach focuses on the study of effective sojourn time of the token in places. It aims, on the basis of the information available on its operating modes, to detect, locate and diagnose failures that may affect the transport system performance and the operational safety.