Real Time Machine Learning Based Detection of Aggressive Driving using Feature Optimization

Abstract

Advanced driver behavior analysis is a revolutionary strategy for improving driving behavior and preventing accidents. With the advancements of technology, it is now possible to capture real-time data on driving behavior, encompassing vehicle characteristics such as speed, acceleration, braking, negligent driving, and driver’s physiological parameters such as heart rate, drowsiness, etc. In this paper, we propose advanced data analytics to provide in-depth insight into drivers’ behaviors. One of the main objectives of this paper is to devise feature engineering techniques so that driving behavior can be determined in real time using an optimal number of features. This approach combines cutting-edge machine learning models with onboard sensors’ data to enhance vehicle safety, develop responsible driving behaviors, and eventually create a safer highway environment for all the stakeholders involved.