• Aditya Shelke
• Dr.S.M. chaware
• Abhijeet Gajbhiye
• Sanket Puranik
• HrishikeshPatil

The traffic congestion problem can be considered as a major problem in development of a city.Technology based solutions provided till date, were not totally optimal to handle this issue. Work done till now have used techniques like Ultrasonic sensor,Infrared sensor,Graph theory,Image processing,Air quality based detection etc.Every used technology used so far had its own benefits and issues.Ultrasonic-sensor model had limitations like use of too many sensors to get exact idea of traffic.Ultrasonic-sensor model also formed a bulky architecture.Infrared-sensor model has issues like short range and interference with sunlight.Graph Theory based model is poorly applicable for large scale data.Image processing model was unable to detect exact number of vehicles.Air quality based model only considers pollution as a scale to measure pollution which is unable to give exact picture of pollution.In proposed system we are using the combination of image processing and ultrasonic sensor along with pollution detection sensors to get the values of parameters like number of vehicles,pollution levels and density of traffic.Servo motor provides wide coverage of area,due to which the number of ultrasonic sensors required are reduced.Proposed system will come handy in the scenario where traffic density is varying and air pollution levels are considerably high.

image processing, air quality sensor, noise sensor, servo motor, dynamic traffic timer

"SMART TRAFFIC CONTROL SYSTEM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.170-175, May-2019, Available :http://www.jetir.org/papers/JETIR1905M29.pdf

"SMART TRAFFIC CONTROL SYSTEM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp170-175, May-2019, Available at : http://www.jetir.org/papers/JETIR1905M29.pdf