E-TRAVIO: A Web System Analytics with Prescriptions for Traffic Management in Local Government Unit

Abstract

Traffic violations remain a pressing concern in many municipalities, particularly due to outdated enforcement systems and inefficient monitoring methods. In response to these challenges, this study developed and evaluated E-TRAVIO, a web-based analytics system with prescriptions for managing traffic violations in local government units. The system aimed to digitize and centralize the monitoring, reporting, and enforcement of traffic rules, offering features such as real-time violation tracking, automated penalty assignment, geo-spatial mapping, and analytics reporting. A key innovation was the integration of a Decision Tree-based model to intelligently assign apprehending officers based on violation hotspots and officer performance data. The system was developed using Agile methodology and assessed through ISO 25010 software quality standards and the Technology Acceptance Model (TAM). Evaluation results indicated that E-TRAVIO achieved high scores in functionality, usability, and overall acceptability among its users, which included traffic management personnel and TODA drivers in Siniloan, Laguna. Despite some limitations—such as dependence on internet connectivity and manual data entry—the system was proven effective in enhancing traffic enforcement accuracy and efficiency. E-TRAVIO was shown to streamline violation processing, improve transparency, and enable data-driven decisions for traffic authorities. It provided users with clear access to violation history, real-time updates, and automated officer scheduling. The study concludes that the E-TRAVIO system is a reliable and scalable solution for municipalities aiming to modernize traffic enforcement through intelligent automation and real-time analytics.