

Driver Behavior Analysis using Machine Learning Algorithms – A survey
Abstract
Driving behaviour has a significant impact on traffic safety, eco-driving, and country development. Despite recent research, driver behaviour continues to have an impact on the automobile industry and government. Hence, this paper attempts to provide a detailed survey of some of the most popular studies on profiling driving behavior using learning and non-learning-based techniques. Profiling was carried out using the different sensors in the low-cost mobile phones. This will help the fleet management as well as automobile industries and RTO to monitor and track the drivers.
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