IoT-Enabled Forecasting of Vehicle Based Carbon Emissions and Smart Fuel Management: Optimizing Efficiency and Performance

Authors

  • Rashmi B. Kale Department of Computer Engineering Smt. Kashibai Navale College of Engineering (SPPU) Pune, INDIA
  • Nuzhat Faiz Shaikh Department of Computer Engineering Wadia College of Engineering (SPPU) Pune, INDIA

Keywords:

Environmental Protection Agency, Air Quality Index, Clean Air Act, Internet of Things (IoT), Carbon Monoxide, Carbon Di Oxide, Particulate Matter, Graphics Processing Unit

Abstract

The implementation of an IoT-based device in the vehicle for capturing, notifying, monitoring and analyzing the real time data of the vehicles through gas, dust density sensors and notifications through mobile application. Sensor generated data transfer to electronic sensor data processing microcontroller ESP-32 into human readable values through cloud on Mobile application or Web Based application. Captured data through sensors successfully demonstrates the objective based methodology and framework to measure the individual vehicle carbon emission. Notification displays on Mobile application through IoT device sensors to monitor and manage fuel consumption effectively, predicting usage patterns, optimizing routes, and suggesting fuel-saving measures based on real-time data analysis

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Published

24.03.2024

How to Cite

Kale, R. B. ., & Shaikh, N. F. . (2024). IoT-Enabled Forecasting of Vehicle Based Carbon Emissions and Smart Fuel Management: Optimizing Efficiency and Performance . International Journal of Intelligent Systems and Applications in Engineering, 12(19s), 161–167. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/5056

Issue

Vol. 12 No. 19s (2024)

Section

Research Article

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