TRAFFIC MANAGEMENT AND ENGINEERING IMPACT ON TWO ADJACENT SIGNALIZED INTERSECTIONS - A CASE STUDY IN PONTIANAK

The prevalence of closely situated intersections in Pontianak City presents unique challenges, notably evident at signalized intersections along KH. Ahmad Dahlan Street. A short-term strategy for mitigating this issue involves leveraging traffic management and engineering techniques to optimize traffic flow informed by on-site evaluations. Through direct surveys conducted at both intersections, data were gathered to assess the current conditions, serving as a basis for designing a new cycle time while considering coordination theory. Using the MKJI approach, calculations were performed to optimize the performance at each intersection, with green-time adjustments facilitating coordination between them. Analysis of the existing performance revealed a saturation degree (DS) of 0.86 for the four-way intersection and 0.68 for the three-way intersection, slightly deviating from the MKJI requirement of DS = 0.75, signaling discomfort, and safety concerns. Notably, a queue length (QL) exceeding 200 m and delay time (DQ) surpassing the 25-second green cycle time underscored the necessity for improvements. Consequently, a new cycle time plan was devised, with a determined 95-second cycle time, 36-second offset time, and 16-second bandwidth adjustments between directions. The implementation of this new cycle time yielded improved intersection performance, as evidenced by the decreased average delay and queue length for both intersections. This case study investigates the efficacy of traffic management and engineering strategies at adjacent signalized intersections in Pontianak with the aim of analyzing their impact on alleviating congestion and enhancing traffic flow in urban settings. Employing various data collection methods, including traffic volume counts, intersection observations, and commuter surveys, this study demonstrates that optimizing signals, managing lanes, and enhancing pedestrian facilities significantly enhance traffic efficiency and safety. These findings offer invaluable insights for urban planners and policymakers by guiding the development of effective traffic management solutions to address congestion challenges in similar urban contexts.