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Introduction (problem statement and relevance). Application of sensors to increase automation of vehicles is a growing global trend. However, as the number of these devices in vehicles increases, so does the number of risk factors caused by their application. The purpose of the study is to reduce the areas of unknown potentially dangerous situations of possible impact of these risks on a highly automated vehicle using a synthesis of the risk analysis methods. Methodology and research methods. This paper considers the system analysis methodologies set forth in GOST R ISO 26262, ISO 21448:2022. The scientific novelty is the interference of approaches to the analysis that are set forth in the standards. Practical significance. The results of application of the synthesized approach to risk analysis will form the basis of studies of the prospective intelligent driver assistance systems thus allowing the development of test programs for these systems within highly automated vehicles.
Lepeeva et al. (Thu,) studied this question.