Abstract
Complex industrial systems are still very dependent on the operator’s human errors. Many automated control systems have been developed for the needs of rail transport. The safety of train movement directly depends on some of them. In case of a malfunction during the operation of such systems, they pass into a safe state and most traffic safety tasks are transmitted to the operator or station operator. To obtain quantitative values of the probability of timely execution of operations by the duty officer at the station, a functional-semantic network and a corresponding model are proposed. This work investigates the connection between the probability of timely execution of operations and the psychophysiological state of the duty officer in case of complex industrial systems problems on the railway transport.
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