“Traffic Density Detection And Signal Automation Using IOT”

Abstract: In modern urban environments, vehicular traffic congestion poses significant challenges, leading to accidents and heightened road violence. This system offers a cost-effective solution to monitor traffic density and analyze sound pollution in specific areas. Employing IR sensors, it tracks traffic density at various locations simultaneously, storing data in an Intel Galileo Gen 2 microprocessor. A sound sensor detects pollution levels, triggering emergency responses when thresholds are exceeded. Data is then uploaded to cloud storage for graphical representation, facilitating real-time monitoring. Users can access this information via an infotainment display, aiding congestion reduction and shorter travel times. This system aims to mitigate negative impacts of congestion, fostering safer and more efficient urban transportation systems.