• Dr,Sateesh N
• Dr.K.R.N.Kiran Kumar
• N.Pavan
• Girija Prasad Dondapati
• Deepareddy Madireddy

Almost one of significant challenges in metropolitan cities is traffic, which has complete people's lives incredibly hard. Obviously, this leads to non-productive behaviour. It will make drivers and passengers more stressed and frustrated. The major effect of a holdup is unsafe driving, which may result in traffic accidents and casualties. Traffic bottlenecks can also be detrimental to one's mental health. The Python-based Traffic Observation System's goal is to manage routes, vehicles, traffic, diversion, and traffic laws. It keeps track of all information about routes, lengths, and traffic laws. Because the system is entirely based on image processing, only the administrator has access to it. The system's goal is to reduce manual labour in route, vehicle, length, and traffic management. It keeps track of all the fine print pertaining to traffic, diversion, and traffic laws. The major motivation is to control traffic congestion and anticipate routes in- order to build a smooth and cost-effective transportation system.

TMS, Image processing Feature Extraction.

"INTELLIGENT TRAFFIC MONITORING SYSTEM USING MACHINE LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 3, page no.h113-h121, March-2023, Available :http://www.jetir.org/papers/JETIR2303719.pdf

"INTELLIGENT TRAFFIC MONITORING SYSTEM USING MACHINE LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 3, page no. pph113-h121, March-2023, Available at : http://www.jetir.org/papers/JETIR2303719.pdf