A Low-Cost IoT Sensor and Preliminary Machine-Learning Feasibility Study for Monitoring In-Cabin Air Quality: A Pilot Case from Almaty

A Low-Cost IoT Sensor and Preliminary Machine-Learning Feasibility Study for Monitoring In-Cabin Air Quality: A Pilot Case from Almaty

The air quality within urban public transport is a critical determinant of passenger health. In the crowded and poorly ventilated cabins of Almaty’s metro, buses, and trolleybuses, concentrations of CO<sub>2</sub> and PM<sub>2.5</sub> often accumulate, elevating the risk of r...

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Bibliographic Details
Main Authors: Nurdaulet Tasmurzayev, Bibars Amangeldy, Gaukhar Smagulova, Zhanel Baigarayeva, Aigerim Imash
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Sensors
Subjects:
indoor air quality (IAQ)
public transport
air pollution monitoring
machine learning
passenger density
bus
Online Access:https://www.mdpi.com/1424-8220/25/14/4521
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