Real-Time In-Vehicle Air Quality Monitoring System Using Machine Learning Prediction Algorithm

Real-Time In-Vehicle Air Quality Monitoring System Using Machine Learning Prediction Algorithm

This paper presents the development of a real-time cloud-based in-vehicle air quality monitoring system that enables the prediction of the current and future cabin air quality. The designed system provides predictive analytics using machine learning algorithms that can measure the drivers’ drowsines...

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Bibliographic Details
Main Authors: Chew Cheik Goh, Latifah Munirah Kamarudin, Ammar Zakaria, Hiromitsu Nishizaki, Nuraminah Ramli, Xiaoyang Mao, Syed Muhammad Mamduh Syed Zakaria, Ericson Kanagaraj, Abdul Syafiq Abdull Sukor, Md. Fauzan Elham
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Sensors
Subjects:
internet of things (IoT)
machine learning prediction
in-vehicle air quality
smart mobility
smart city
Online Access:https://www.mdpi.com/1424-8220/21/15/4956

Internet

https://www.mdpi.com/1424-8220/21/15/4956

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