Automation of Tollgate and Blocking of Unauthorized Vehicles

Abstract

The rapid increase in the number of vehicles has created significant challenges in manual toll collection systems, leading to traffic congestion and delays. To overcome these issues, an automated toll gate system with unauthorized vehicle detection is proposed. The system uses RFID technology to identify vehicles and enable automatic toll deduction from prepaid accounts. As a vehicle approaches the toll gate, sensors detect its presence and activate the system for processing. A camera captures the vehicle’s number plate, and an Automatic Number Plate Recognition (ANPR) system extracts and verifies the registration details. The collected data is compared with a centralized database to ensure vehicle authenticity. The system performs dual verification using both RFID and license plate information to improve accuracy and prevent fraud. If the vehicle is authorized and has sufficient balance, the gate opens automatically, allowing smooth passage. In contrast, unauthorized vehicles are detected based on invalid RFID tags, insufficient balance, or mismatched data. In such cases, the gate remains closed, and an alert is generated for authorities. The system also stores vehicle data for monitoring and security purposes. This approach reduces waiting time, minimizes human intervention, and enhances operational efficiency. It improves traffic flow and ensures secure toll management. The proposed system is reliable, scalable, and suitable for modern intelligent transportation systems. It also supports real-time monitoring and future smart city integration