• R.Durga Prasad
• A. KASI VISWANADH
• M. HUSSIAN ABBAS
• V. PAVAN KUMAR
• O. NAGA LAKSHMI

In urban areas, traffic system is one of the significant indicators to show the growth and progress of a city and it also influences the quality of life of people living in metropolitan cities. In recent years. there is a significant increase in usage of road vehicles which is becoming challenge for existing transportation system. The currently deployed traffic system is not based on the traffic congestion level land a predefined time is allocated for traffic lights at every road crossing which results in traffic congestion and situation becomes worst in the peak traffic hours. When traffic demand is great enough that the interaction between vehicles slows the speed of the traffic stream, this results in some congestion. This high level traffic congestion contributes to the pollution by the emission of CO 2 and several other pollutants in air. To address the above problem, this paper presents the development of congestion level based dynamic traffic management system using IoT. It regulates the traffic lights duration based on the real-time congestion level of the traffic measured at the road crossings by using IR sensors. The development of this project is divided in three phases I e simulation and logic development, development of IoT based system and finally hardware implementation. In first phase the simulations are done in Proteus and results are presented in four cases i-e normal routine, low level congestion, medium level congestion and high level congestion. In second phase the IoT based system is developed by making the communication link between the end nodes and the gateway over the internet. Finally, the real-time prototype is implemented. In addition to this, we are adding the features like Emergency Vehicle Traffic Clearance i.e Ambulance clearance or VIP Vehicles, Air Pollution detection, Theft Vehicle Identification Feature.

Arduino UNO board, Gas Sensor(pollution), Neo pixel LEDs(traffic lights), RF Transmitter and Receiver, Esp8266, Wi-Fi Module, IR sensors, RFID reader, 16*2 LCD

"Intelligent Traffic Management through Density Analysis", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 3, page no.j643-j649, March-2024, Available :http://www.jetir.org/papers/JETIR2403984.pdf

"Intelligent Traffic Management through Density Analysis", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 3, page no. ppj643-j649, March-2024, Available at : http://www.jetir.org/papers/JETIR2403984.pdf