Intelligent Driver Behavior Analytics for Enhanced Road Safety

The present work on Intelligent Driver Behavior Analytics System that monitors and analyzes road users to ensure road safety and regulatory compliance, the system developed by using machine learning algorithms with the help of Raspberry Pi micro controller. It is said that most road accidents are caused by driver incompetency, yet, dangerous driving behavior is hard to detect on the road; this system monitors dangerous driving and other related behaviors that cause road accidents as well as contribute to noise pollution. It also alerts vehicle pauses on high-risk areas like road edges and also compares the routes planned to routes traveled on the GPS to alert any route slippage. Drivers, fleet managers and fleet operators get real-time feedback, and they are encouraged to take corrective action immediately. The system is expandable and is applicable to transportation agencies, public safety organizations and individuals who own vehicles and need to hone road safety and performance. Observing what such drivers do in real time is important in the process of managing a fleet to achieve both safety and productivity.