1 publication

• Published Subscription Original Research 15 Jun 2026

  Data-Driven Machine Learning Approach for Vehicle Fuel Economy Prediction and Performance Monitoring Using Real-World OBD Data

  By Arumugam Palanichamy, Suresh Alex Selvaraj, Rajavel Rangasamy, Karthikeyan Subramanian

  Abstract: Modern passenger vehicles generate large volumes of operational data through On-Board Diagnostics (OBD) systems, enabling continuous observation of vehicle performance under real-world driving conditions. However, much of the existing research mainly analyses previously recorded data and does not provide predictive mechanisms for monitoring vehicle performance under dynamically varying operating conditions. This study presents an AI and machine learning–based method for predicting and monitoring real-world vehicle performance and fuel economy using …

  Published in Trends in Machine design · Vol. 13, Issue 2, 2026 · pp. 47–66 Read article →