Automated Toll Collection: Integrating License Plate Recognition with Insurance and Vehicle Data Verification

This paper presents an automated toll collection system that integrates License Plate Recognition (LPR), real-time data verification, and payment automation to enhance the efficiency, security, and scalability of toll operations. The system leverages high-resolution cameras, Optical Character Recognition (OCR), and machine learning algorithms to accurately identify vehicles and verify compliance with legal requirements. Real-time data transmission and secure API connections facilitate the validation of vehicle registration and insurance information. The payment automation module deducts toll fees from registered accounts, providing real-time notifications to users and ensuring compliance enforcement. Experimental evaluation demonstrates a license plate recognition accuracy of 98.5% and real-time processing with a speed of 0.5 seconds per vehicle. The system reduces congestion by up to 70%, optimizes revenue collection, and enhances user experience by eliminating manual payment processes. Future enhancements include improving environmental robustness, cross-regional database interoperability, and dynamic pricing models to further optimize system performance.