Vehicle Tracking and Traffic Analytics System

Abstract: Traffic monitoring plays a vital role in improving road safety and transportation management. This paper presents a Vehicle Tracking and Traffic Analytics System that utilizes YOLOv11 for real-time vehicle detection and ByteTrack for multi-object tracking. The system estimates vehicle speed, detects overspeeding vehicles, analyzes traffic movement through predefined regions of interest, and generates traffic density heatmaps. It processes highway surveillance videos to provide accurate vehicle tracking and real-time traffic insights. The proposed system offers an efficient and scalable solution for intelligent transportation systems, traffic surveillance, and highway monitoring.

Keywords: Vehicle Tracking, Traffic Analytics, YOLOv11, ByteTrack, Speed Estimation, Computer Vision