Virtual Booth

Driving behaviours such as harsh acceleration, sudden braking, speeding, and inconsistent speed not only increase CO2 emissions and fuel wastage but also raise accident risks. In Malaysia, road safety has become a critical issue, with thousands of fatalities recorded annually, largely linked to unsafe driving practices. Despite this, many drivers remain unaware of how their daily driving habits affect safety,efficiency, and the environment. Our aim is to analyse the driving behaviour in Malaysia using the telemetry data. We propose the Eco-Drive Graph Analyzer, a graph-based analytical system that transforms vehicle telemetry data into meaningful visual insights. By analysing acceleration and speed patterns, the system identifies inefficient and aggressive driving behaviours that contribute to higher fuel consumption, increased emissions, and dangerous road conditions. Unlike traditional driving analytics that focus only on average speed or fuel usage, this project applies graph analysis to model driving behaviour dynamically over time, enabling clearer detection of acceleration spikes, unstable speed patterns, and fuel inefficiencies. The Eco-Drive Graph Analyzer has potential applications in personal driving assistants, fleet management, road safety enforcement, smart city planning, and educational awareness programmes. It is hoped that the proposed device supports Malaysia’s greenmobility initiatives and aligns with the United Nations Sustainable DevelopmentGoals (SDGs), particularly those related to sustainable cities, climate action,and quality education.