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EN
In some areas of transportation systems, reduction of risk using typical safety engineering tools can be difficult due to the relatively small number of events that can be analysed to draw conclusions for the future. One way out of this situation is to analyse systems in their normal operation when no adverse event occurs. It can be done, inter alia, with the Functional Resonance Analysis Method. An important research problem in this context is how to describe the variability of system functions. In this article, we propose an original method, based on the number of hazard sources present in a given analysis domain and apply it to a real pedestrian crossing. The obtained results indicate that the quantitative coincidence measures proposed by us are a convenient way to capture ‘functional vibrations’ in real socio-technical systems. This allows the prediction of undesired states of such systems based on their normal operation.
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EN
Aviation is the fastest growing but also the safest mode of transport. International aviation organizations give the highest priority to safety while creating aviation regulations. Therefore, a safety management system (SMS) has been created. Two approaches to assuring safety in aviation may be distinguished: Safety-I and Safety-II. Safety-I is the standard approach, focused on processing the information about malfunctioning features and system elements. On the other hand, Safety-II is a new approach to safety management, based on identifying the elements or functions of the system that work properly, which enables the system to confirm resilience to undesirable effects. One of the methods utilized for the Safety-II approach in order to study complex sociotechnical systems is the FRAM (functional resonance analysis method). The method is focused on analysing daily activities in various conditions in order to create a model of work performance. The models created based on the FRAM can be used for risk analysis, accident investigations and predicting possible future events affecting aviation safety. This method allows us to simulate system constraints and uncertain states. It can also be used as support for the air traffic safety management processes based on the Safety-II approach. The following article presents a developed FRAM model for the transfer of control over aircraft. This model constitutes an example of a coordination scheme limited to basic activities of air traffic control (ATC) services, providing a general framework for the construction and operation of the FRAM model.
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