Integrated OBD-II IoT Telematics System for Real-Time Driver Behaviour Scoring

Objective: To engineer and validate a robust IoT-based vehicle telematics platform using OBD-II data for real-time driver behaviour scoring and fleet management in Indian road conditions.

India faces rising road accidents and inefficient fleet operations due to lack of actionable vehicle and driver analytics, especially for commercial vehicles, taxis, and logistics fleets. Insurers and fleet operators struggle to monitor driving habits, leading to unsafe practices and increased operational costs.

This project proposes an engineering solution: a modular telematics device interfacing with the vehicle's OBD-II port, capturing real-time data (speed, RPM, throttle, braking events), and transmitting it to a cloud platform via cellular IoT. An embedded scoring algorithm quantifies driver behaviour, and a web dashboard presents analytics for fleet managers.

Key features and deliverables include: a deployable OBD-II hardware module with GPS and GSM, cloud-based data aggregation and scoring, real-time alerts, integration with Indian insurance/fleet standards, and a working model demonstrated on a test vehicle, with live scoring and dashboard visualization.

The system enables safer, data-driven fleet management and insurance, scalable across diverse vehicle types. It empowers Indian transport operators and policy makers to incentivize responsible driving, reducing accidents and improving operational efficiency.