Vehicle-Focused Traffic Mapping for Forecasting Urban Movement and Detecting Peak Congestion Periods/strong>
Authors:-Atharva Daga, Aditya Wandhekar
Abstract-Effectively managing urban traffic dynamics is essential for optimized city planning and administration. This research focuses on a vehicle-centric approach to traffic mapping, aiming to predict congestion levels and identify peak traffic times within urban areas. The main objective is to forecast daily traffic density and detect periods of high congestion to support improved traffic management. To achieve this, we analysed real-time CCTV footage from Nasik Smart City Office, collected from key routes—Pathardi Gaon Circle and Golf Club Ground Circle — over a continuous five-day span. The findings confirm that real-time CCTV data delivers accurate congestion predictions and enhances traffic control strategies. By applying this methodology, we provide a reliable solution for traffic authorities, enabling them to take proactive measures to mitigate traffic congestion and improve overall traffic flow. This research contributes to the advancement of intelligent transportation systems, highlighting the value of incorporating real-time data into urban traffic management solutions.
