INTELLIGENT TRAFFIC LIGHT CONTROL SYSTEM: A PROPOSED STUDY

Abstract

Traffic signals play a critical role in maintaining safety and order for all road users, including pedestrians. Pedestrian traffic lights are specifically designed to prioritize and protect individuals crossing streets, particularly in urban areas with high foot traffic. Modern systems go beyond basic "walk" and "don't walk" indicators by incorporating advanced features such as countdown timers and sensors that detect waiting pedestrians. These innovations not only enhance pedestrian safety but also promote walking as a healthier and more environmentally sustainable mode of transportation. This study employed a quantitative mixed-method approach and purposive sampling. To evaluate the proposed Intelligent Traffic Light Control System model, an ANOVA test was used to determine significant differences in assessments based on five key criteria: ease of use, reliability, safety, efficiency, and adaptability. A survey questionnaire was administered to 15 respondents—comprising 5 IT experts, 5 traffic enforcers, and 5 traffic engineers—to assess the model’s overall acceptability. The results of the study indicate that the proposed Intelligent Traffic Light Control System model was rated as highly acceptable in terms of ease of use and safety by all three respondent groups: Traffic Enforcers, IT Experts, and Traffic Engineers. Reliability was rated highly acceptable by Traffic Enforcers and Traffic Engineers, and acceptable by IT Experts. Efficiency was deemed highly acceptable by Traffic Enforcers, and acceptable by both IT Experts and Traffic Engineers. Adaptability received a highly acceptable rating from Traffic Enforcers and IT Experts, and an acceptable rating from Traffic Engineers.  The mean scores were as follows: Traffic Enforcers – 3.34 (variance = 0.10), IT Experts – 3.36 (variance = 0.09), and Traffic Engineers – 3.82 (variance = 0.07). The computed F-statistic was 0.029, compared to the critical value of 3.885, with α = 0.05 and degrees of freedom (df) = 2 and 12. Since the computed F-value is less than the critical value, the null hypothesis (H₀) is accepted, indicating that there is no significant difference in the assessments among the three groups of respondents. The study found that the proposed Intelligent Traffic Light Control System was highly acceptable in terms of ease of use, reliability, safety, and adaptability. However, efficiency received slightly lower ratings, indicating an area for improvement. Statistical analysis revealed no significant differences in the assessments among the three groups of respondents: Traffic Enforcers, IT Experts, and Traffic Engineers. Identified challenges in implementing the system included issues with pedestrian detection, maintaining consistent traffic flow, system integration, and power stability. Based on these findings, the study recommends enhancements such as incorporating GPS and LIDAR technologies, implementing adaptive pedestrian signaling, improving signage visibility, and ensuring system reliability through backup power solutions.