• Pradnya C. Chinchkar
• Manasi V. Pathade

Traffic congestion is a serious problem people are facing in this century and this is increasing day by day. Due to fixed time of the signal the time is consumed even though there are hardly any vehicles crossing the road. Therefore it is needed to develop simple but powerful system for traffic management so that the transportation will be efficient. Vehicle detection or vehicle density estimation plays a vital role in traffic management system. To monitor the traffic density estimation is very important. So, we are proposing a system which is used to estimate traffic density on a road. In this paper the density estimation is done using two segmentation methods that are K-mean segmentation and region growing. Decision to allot the run time for vehicles on each road is taken on the basis of density estimation.

K-mean clustering, Region growing, Traffic, Vehicle detection, Density estimation, Traffic Monitoring

"Vehicle Density Estimation Using Segmentation Methods for Traffic Monitoring", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 6, page no.640-644, June-2018, Available :http://www.jetir.org/papers/JETIR1806335.pdf

"Vehicle Density Estimation Using Segmentation Methods for Traffic Monitoring", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 6, page no. pp640-644, June-2018, Available at : http://www.jetir.org/papers/JETIR1806335.pdf