Machine Learning with IoT Enhancing Car Performance through Supervised Algorithms for Vehicle Automation


  • Elangovan G. Assistant Professor, Department of Data Science and Business Systems, SRM Institute of Science and Technology, SRM Nagar, Kattankulathur - 603 203, Chengalpattu District.
  • M. A. Berlin Associate Professor Grade 2, School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, Tamilnadu 632140.
  • R. Reenadevi Assistant Professor, Department of CSE,Sona College of Technology, Salem.
  • Amudha G. Professor, Department of Computer Science and Business Systems, R.M.D. Engineering College, Kavaraipettai.
  • V. Sathiya Associate Professor, Department of Computer Science and Engineering, Panimalar Engineering College, Chennai-125.


vehicle automation, supervised learning algorithms, Internet of Things (IoT), car performance enhancement, machine learning


The present research explores the combined application of supervised learning algorithms and the Internet of Things (IoT) to improve automotive performance in the context of vehicle automation. Our study makes use of neural networks, decision trees, and support vector machines along with a variety of datasets, well-placed sensors, and communication protocols. Across ten trials, the selected algorithms consistently displayed excellent performance, generating accuracy values ranging from 91.7% to 93.5%, precision values between 93.7% and 94.8%, recall values spanning from 89.8% to 91.7%, and F1 scores ranging between 91.5% and 93.4%. These striking results underline the potential of this integrated strategy to transform driving experiences, increase safety, and contribute to the continued growth of intelligent vehicle systems. This research not only lays the framework for new developments in the automotive sector but also demonstrates the revolutionary impact of advanced technology on the landscape of modern transportation.


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How to Cite

G., E. ., Berlin, M. A. ., Reenadevi, R. ., G., A. ., & Sathiya, V. . (2024). Machine Learning with IoT Enhancing Car Performance through Supervised Algorithms for Vehicle Automation. International Journal of Intelligent Systems and Applications in Engineering, 12(21s), 33–39. Retrieved from



Research Article