John Leroy A. Damulo, Randolph Mason D. Dy, Seth Kendall M. Pestaño, Drexler C. Signe, Erlisar E. Vasquez, Linda E. Saavedra, Engr. James Michael C. Cañete
This paper presents a tool that would calculate traffic density through vehicle detection using image processing. Haar-Cascading Algorithm was used in vehicle detection. The developed tool used video recordings from identified Cross and T-type road junctions in the City of Mandaue. Traffic video recording were provided by the Traffic Enforcement Agency of Mandaue (TEAM). The system will classify traffic status as low, moderate or heavy based on the calculated traffic density. It is also capable of simulating traffic light control by displaying a Go signal in one part of the road in a particular road junction at a time. The duration of this Go signal will depend on the traffic status determined by the system. Results showed that the system has an average accuracy rate of 80% in vehicle detection and can correctly classify traffic status from the calculated traffic density. © 2020 Author(s).
Department of Computer Engineering, University of San Carlos, Talamban, Cebu City, Philippines; Faculty Member/Adviser, Department of Computer Engineering, University of San Carlos, Talamban, Cebu City, Philippines
