Statistical data analysis of failures in railway traffic interval control systems was carried out. Investigations on estimation of failure detection and elimination time were fulfilled taking into account the requirements to formalization of failure detection and elimination engineering processes in the signaling point of the numeric coded circuit blocking system by means of hierarchic colored temporary Petri nets. A simulation model of the system recovery time estimation according to the results of failure detection in the signaling point was elaborated by means of the analysis on the condition of facilities, as well as statistic and regulatory documents. The methods of Petri net theory based on the discrete-event paradigm of simulation modeling were applied. Moreover, the information method of failure detection and elimination in the facilities of railway automation and remote control systems was used. The elaborated simulation model makes it possible to estimate the average time for system recovery after failure occurrence in the signaling point of the numeric coded circuit blocking system. The settings of timing parameters for failure detection technological process (notice time, arrival time, failure detection and fault elimination time) can be carried out by means of the model in question. In order to provide a proper estimation of the above-mentioned parameters, taking into account the specificities of the local division and operating staff qualifications, there is a function to assign both deterministic and probabilistic fi ring of Petri net transitions.