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Article · Trudy Universiteta · March 30, 2023

Automated Driver’s Condition Monitoring to Prevent Dangerous Situations

Olga SHVETS, Bauyrzhan Smakanov

Abstract

The purpose of the research is the use of modern simulation tools to determine the driver’s condition and the software development of the algorithm used to monitor and alarm the driver about the dangerous condition. A review of studies on this topic in recent years is given. The choice of modeling tools and the use of the apparatus of fuzzy logic are analyzed and substantiated. It is given the rationale for the development of a Kazakhstani system for monitoring driver behavior using a smartphone. As a result of the research, a software product was developed in the C# programming language. The correctness of the algorithm for recognizing the driver's condition has been tested, ways to improve the development and its use in the experiment directly in the vehicle cabin have been determined.

Human-Automation Interaction and SafetyIoT and GPS-based Vehicle Safety SystemsSleep and Work-Related Fatiguedriver drowsiness detectionfuzzy logicdriver behavior recognition

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