Abstract
Traffic rule violations are a major contributor to road accidents and congestion in urban areas. Traditional manual systems of recording violations and calculating fines often lead to human errors, loss of data, and inefficient record management. To overcome these issues, this project presents a Traffic Violation Fine Tracker using Java, a digital system designed to automate fine processing and streamline violation management. The application is built using Java Swing for its graphical user interface and follows an object-oriented architecture to maintain driver, vehicle, and violation data efficiently.
A rule-based fine engine automatically assigns penalties based on standardized traffic violation types, eliminating manual calculation errors. The system also provides features for adding drivers, registering vehicles, viewing violations by license number, generating fine receipts, and exporting violation records to CSV for administrative use. The solution ensures accuracy, fast processing, and easy data retrieval, making it suitable for small-scale enforcement departments and academic learning. The project demonstrates how core Java can be used to develop efficient digital enforcement systems that improve transparency, efficiency, and road safety.This project presents a Java-based Traffic Violation Fine Tracker designed to automate the process of recording and managing traffic offences. The system uses a Java Swing interface and a rule-based engine to ensure accurate and consistent fine calculation. Driver, vehicle, and violation data are handled using an efficient object-oriented structure. The application also generates digital fine receipts and exports violation records for administrative use. Overall, the system improves transparency, reduces manual errors, and modernizes basic traffic enforcement tasks.This project introduces a lightweight yet intelligent Java-based Traffic Violation Fine Tracker that replaces manual recording with an automated, rule-driven engine capable of generating instant and consistent fine results.Traffic law enforcement increasingly demands fast, accurate, and transparent systems to handle rising vehicle density and frequent violations.