EVALUATION OF UNSIGNALIZED INTERSECTION PERFORMANCE USING THE PKJI METHOD (CASE STUDY OF JENDRAL AHMAD YANI STREET, ABU BAKAR LAMBOGO STREET AND BUKIT MADANI STREET, PAREPARE CITY)

Abstract

Traffic conditions at the intersections of Jalan Jenderal Ahmad Yani, Jalan Abu Bakar Lambogo, and Jalan Bukit Madani in Parepare City indicate congestion and potential conflicts between vehicles that can reduce the level of safety and smoothness of traffic. Evaluation of the performance of unsignalized intersections at these locations is necessary to provide optimal traffic services and minimize the risk of accidents. This study aims to analyze traffic flow performance and intersection service levels using the PKJI method, so that recommendations for road infrastructure improvements that support the efficiency and safety of road users in the area are obtained. This research is a quantitative study. The research location is Jalan Jenderal Ahmad Yani KM 2, Parepare City, South Sulawesi, and the implementation period is approximately two months. Data collection was carried out in two stages: secondary data and primary data. The data were then analyzed using the PKJI 2023 method to assess traffic flow volume, unsignalized intersection performance, saturation level, delays, and queueing opportunities, thus obtaining a comprehensive picture of the basic intersection capacity and level of traffic performance in the study area. Based on the analysis results, it shows that the performance is still good with a service level of category B, which means that the traffic flow is stable with minimal obstacles. The highest traffic volume was recorded on Tuesday at 4,691 vehicles/hour and on Saturday at 3,547 vehicles/hour, with an intersection capacity of around 3,180 smp/hour and a degree of saturation of 0.61 and 0.50, respectively, indicating that the intersection is still able to accommodate the existing vehicle flow. The low delay value and small queue opportunity indicate the operational efficiency of the intersection, but the potential for increased vehicle volume during peak hours in the future may reduce its performance, so adaptive traffic management is needed, such as adjusting the priority of the main flow or increasing the intersection capacity to maintain optimal performance.