SURATSA: Implementation of Surigao Real-Time Adaptive Traffic Signal Algorithm (RATSA) for Traffic Management in Barangay Luna, Surigao City, Philippines

This research presents the implementation and evaluation of an adaptive traffic light system prototype in Barangay Luna, Surigao City, Philippines. The system utilizes Arduino Mega boards and ultrasonic sensors to detect vehicle presence in three lanes, dynamically adjusting traffic light sequences to optimize traffic flow. Data was collected over multiple trials, assessing various scenarios of vehicle detection. The results demonstrated that the adaptive system significantly reduced wait times and improved traffic efficiency compared to conventional fixed-time systems. Key findings highlighted the system’s ability to prioritize lanes based on real-time traffic conditions, effectively managing scenarios with varying vehicle detection. Despite certain limitations, such as sensor calibration challenges, the study confirms the potential of adaptive traffic management systems to enhance urban mobility. Future research is recommended to refine sensor accuracy and explore the integration of pedestrian traffic data. This research contributes valuable insights into adaptive traffic control solutions for small urban areas.