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Advanced Real time IoT Eco-Driving Assistant System

  • Jouini, Anis (Laboratory of Signal Processing and Electric Systems ATSSEE Faculty of science of Tunis University Tunis El‐Manar) ;
  • Cherif, Adnane (Laboratory of Signal Processing and Electric Systems ATSSEE Faculty of science of Tunis University Tunis El‐Manar) ;
  • Hasnaoui, Salem (Sys'Com Research Laboratory, National Engineering School of Tunis, University Tunis El-Manar Tunis)
  • Received : 2022.04.05
  • Published : 2022.04.30

Abstract

Eco-driving of vehicles today presents an advantage that aims to reduce energy consumption and limit CO2 emissions. The application for this option is possible to older vehicles. In this paper, we propose an efficient implementation for IoT (Internet of Things) system for controlling vehicle components that affect the quality of driving (acceleration, braking, clutch, gear change) via Smartphone using Wi-Fi and BLE as communication protocol. The user can see in real-time data from sensors that control driver action on vehicle driving systems such as acceleration, braking, and vehicle shifting through a web interface. Thanks to this communication, the user can control his driving quality and, hence, eco-driving can be achieved

Keywords

Acknowledgement

I would like also to express my thanks to my Dear Roua Najar English teacher at Amideast Tunisia for the support they provided me during writing this paper.

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