TRAFFIC MANAGEMENT BY MONITORING WEATHER PARAMETERS AND POLLUTANTS REMOTELY USING ML
DOI:
https://doi.org/10.48047/sxzac859Keywords:
Traffic Management, Machine Learning (ML), Internet of Things (IoT), Environmental Monitoring, Air Pollution Detection, Weather-Based Traffic Prediction, Smart Cities, Arduino UNO, DHT11 Sensor, Gas Sensors, Rain Sensor.Abstract
In today’s rapidly urbanizing world, traffic congestion and environmental pollution have become critical challenges affecting both human life and urban sustainability. Conventional traffic management systems primarily focus on vehicle density and often fail to consider important environmental factors such as weather conditions and air quality, which significantly influence traffic flow and road safety.
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