What was studied
Air quality in Almaty buses, metro, and trolleybuses with real-time sensing.
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TynysAi in Simple Words
This page summarizes the public transport air-quality study used as reference for this project.
How it works
Sensors measure CO2, PM2.5, PM10, temperature, and humidity, then send updates every minute.
Main result
The XGBoost model reached about 91.25% classification accuracy and strong PM2.5 fit (R2 near 0.95).
Why this matters
Transit teams can detect unhealthy peaks faster and improve ventilation and route decisions.
Source paper
Mohammed S., et al. (2025). Sensors, 25(14), 4521.
Open the MDPI article