Smart City IoT Analytics for Real Time Traffic and Air Quality Monitoring

The study examines smart city IoT systems which enable monitoring of vehicle traffic and outdoor pollution levels. The current urban growth rate causes cities to encounter vital problems which include vehicle traffic jams and outdoor air contamination and suboptimal operations of public services. The project introduces a Smart City IoT Analytics System which uses Internet of Things (IoT) sensors and data analytics methods for real-time monitoring of street traffic and air pollution. The system uses distributed IoT devices which include traffic sensors and GPS modules and air quality sensors that measure CO₂ and PM2.5 and PM10 and additional pollutants to gather environmental and transportation information. The system transmits real-time data to a centralized cloud platform which processes and stores the information while using data analytics and visualization tools for analysis. The system uses advanced analytical models to detect traffic congestion patterns and predict peak hours and identify pollution hotspots. The system provides city authorities and citizens with actionable insights which enable them to make smarter decisions about traffic rerouting and pollution control measures and efficient urban planning.