DEVELOPMENT OF CAMERA SENSOR-OPERATED TRAFFIC LIGHTS

Abstract

Traffic congestion and road safety continue to be pressing challenges in urban areas. Traditional traffic light systems operate on fixed schedules, often leading to inefficiencies, increased travel times, and higher vehicle emissions. To address these issues, this study proposes the implementation of Camera Sensor-Operated Traffic Lights, designed to optimize traffic flow by dynamically adjusting signals based on real-time vehicle movement.  This technology aims to reduce congestion, minimize vehicle emissions, and improve travel efficiency at road intersections. Furthermore, the study examines public perceptions of camera sensor-operated traffic lights, providing valuable insights for their design, implementation, and potential impact on urban transportation systems. This study employed a descriptive qualitative-quantitative research design and selected five (5) traffic engineers and five (5) sensor technology experts through purposive sampling. Data collection was carried out using printed survey questionnaires, providing valuable insights into the effectiveness and feasibility of camera sensor-operated traffic lights. The assessment results reveal no significant difference between the opinions of traffic engineers and sensor technology experts regarding the construction materials, design, durability, sensor accuracy, and overall presentation of camera sensor-operated traffic lights.  The sensor technology experts reported an overall mean rating of 3.58, with a variance of 0.0245 and a t-computed value of 2.306, while the traffic engineers had a mean rating of 3.57, with a variance of 0.107 and a t-computed value of 3.306. The positive responses from both groups indicate a strong likelihood of acceptance for the implementation of camera sensor-operated traffic lights in urban road systems. The traffic engineers and sensor technology experts emphasize the importance of using high-quality materials to ensure the project’s durability and efficiency.  The key suggestions from the respondents include:  Exploring AI-driven solutions that eliminate the need for physical sensors, such as advanced vision-based software. Investigating alternative designs to enhance the functionality and adaptability of the system. Integrating AI instead of conventional sensors, as it may lead to more efficient and accurate outcomes. Optimizing sensor accuracy and detection range, which are critical for assessing the durability and reliability of all components. These insights highlight opportunities for further innovation in camera sensor-operated traffic lights, promoting smarter, more adaptive, and efficient urban traffic management solutions.