Analyzing Driving Behavior Using Machine Learning Techniques

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Abstract

Driving behavior is patterns of it covers everything from decisions we make to how quickly we respond to rapid changes, which speed we choose, discipline within our lane, how accountable we are to what is on the road, keeping with traffic laws, interaction with other road users, and so on. Individual characteristics (e.g., personality, experience, and emotional state) and environmental factors (e.g., road infrastructure, weather, and traffic density) influence driving behavior. Driving behavior is a broad topic studied within human factors psychology, where it is often researched in the context of road safety, accident risk assessment, and safe driving interventions. Moreover, the influence of technology, including driver assistance systems and autonomous vehicles, is changing the landscape of driving habits.

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