Analysis of fuzzy logic methods application in vehicle safety enhancement

Abstract

The article explores the application of fuzzy logic methods to improve vehicle safety amid rising accident rates on Russian roads. The authors demonstrate how adaptive systems based on fuzzy sets enable the analysis of dynamic and uncertain risk factors, such as weather conditions, driving behavior, and traffic density. Using a road accident risk assessment model as an example, the study highlights the approach’s effectiveness in processing qualitative data and enabling real-time decision-making. The research confirms that integrating fuzzy logic into intelligent transportation systems can reduce accidents by leveraging flexibility and incorporating expert knowledge.