Traffic light management system using image processing

Traffic control is important. Traffic congestion creates many problems in our everyday lives. Travel time increases which lead to waste of time and fuel. A system that can manage traffic through the efficient use of traffic lights by applying an algorithm to control the time for the signals of a traffic light would be beneficial. A system was developed by using a modified waterfall model. Data from the City Traffic Operations Management (CITOM) were utilized. Images were taken using a digital camera from the GMT building and the Montesclaros Building to acquire snapshots of actual traffic zones. An image processing module was developed after reading on image processing and edge detection. A traffic density module was created to determine the density for each phase. A traffic management module was created by taking the phase densities into consideration. In the system, the snapshots were analyzed. After analysis, the system applied an algorithm which adjusts the time of a certain intersection based from its density. The system also stores analyzed data into a database. CITOM personnel gave the system an overall rating of 4.260 on a 5-point rating system, which is interpreted as completely acceptable. Meanwhile, motorists rated the system’s importance, and 100% of them wanted it to be implemented