00000ctm a22000003i 4500 UP-99796217611984202 Buklod 20230215105418.0 m |o d | ta 160330s xx d r |||| u| (iLib)UPD-00254212599 DENGII rda eng LG 993.5 2014 E63 R36 Ramos, Ivan Patrick G. author. Field testing of smart traffic light adaptive traffic control of an intersection using cameras as detectors Ivan Patrick G. Ramos, Czar Manuel M. Rosuello ; Karl B. N. Vergel, adviser. Quezon City College of Engineering, University of the Philippines Diliman 2014. viii, 91 leaves color illustrations 28 cm text rdacontent unmediated rdamedia volume rdacarrier Thesis (B.S. Civil Engineering)--University of the Philippines Diliman April 2014. To address the problems of traffic congestion in the local setting, the Smart Traffic Light System is developed by the UP-EEEI student research. Smart Traffic Light System is an adaptive traffic system that adjusts continuously in real-time based on the vehicle at the intersection by the CCTV cameras. This system optimizes the green time allocation in an intersection. The field test of the Smart Traffic Light System is done at the intersection of University Avenue and c.P. Garcia Avenue. The cameras are installed at the intersection for field testing during which simultaneous traffic surveys are conducted to obtain the data required to solve for the parameters for evaluation which are queue length, vehicle delay, and degree of congestion. The system is assessed and is found to have no significant effect on the degree of congestion of the intersection. The implementation decreased the queue length for the east leg by 14%, the south leg by 31.3% and the west leg by 2.4% compared to when the fixed traffic signal is in effect. The level of service of the intersection is improved by the system, causing the level of service for most volumes to change from LOS B to LOS A. The total delay in the intersection is decreased by an average of 30.9%. Electronic traffic controls. Traffic signs and signals Control systems. Vehicle detectors. Traffic flow Measurement Equipment and supplies. Rosuello, Czar Manuel M. author. Vergel, Karl B. N. adviser. Thesis FI UP UPD DENG-II LG 993.5 2014 E63 R36 Thesis