Automated Traffic Monitoring System with Integrated Accident Detection, Violation Reporting, and Emergency Vehicle Traffic Management
Prof. Akshatha K S, Surya Kumar K V , Nandu Varma E A , VenuGopalReddy P V
Assistant professor, Information Science Department, East West Institute of Technology, Bangalore, India1 Student, Information Science Department Department, East West Institute of Technology, Bangalore, India2 Student, Information Science Department Department, East West Institute of Technology, Bangalore, India3 Student, Information Science Department Department, East West Institute of Technology, Bangalore, India4
Abstract: This paper presents an advanced automated system designed for real-time vehicle speed detection, traffic violation enforcement, accident detection, and emergency vehicle traffic management. Utilizing cutting-edge computer vision, image processing, and machine learning techniques, the system detects traffic violations such as speeding, red-light breaches, lane deviations, and accidents. In addition, the system automatically fetches vehicle owner details via license plate recognition, generates violation reports, and sends email notifications with fine receipts. In the case of an accident, the system alerts the nearest police station and notifies emergency services for swift response. Furthermore, the system ensures efficient ambulance movement by dynamically adjusting traffic lights in coordination with traffic controllers. The proposed system significantly reduces manual intervention, optimizes law enforcement, enhances emergency response, and improves traffic flow in real-time.
Key Words:automated traffic monitoring and real-time traffic violation enforcement, utilizing technologies such as license plate recognition (LPR), optical character recognition (OCR), and machine learning to enhance intelligent transportation systems (ITS), with applications in accident detection, emergency vehicle management, and traffic flow optimization through smart traffic lights and deep learning-based vehicle detection.