การจัดการจราจรบริเวณจุดตัดกรณีศึกษาโครงการรถไฟฟ้ารางเบาจังหวัดขอนแก่นโดยประยุกต์ใช้แบบจำลองระดับจุลภาคและอากาศยานไร้คนขับ

Abstract

The Khon Kaen Light Rail Transit (LRT) system is designed to operate on median lanes to minimize conflicts with other vehicles. However, intersections remain critical conflict points. This study aims to propose traffic lane redesigns, the addition of new intersections, and the application of Transit Signal Priority (TSP) to mitigate intersection conflicts. UAVs were employed to collect traffic volume and physical data, while a micro-level traffic simulation model was used to analyze four scenarios: (1) no project implementation, (2) LRT with fixed-time traffic signals, (3) LRT with intersection improvements and fixed-time signals, and (4) LRT with intersection improvements and TSP. Results for 2026 show that Scenario (1) yields the best outcome, as current road capacity is sufficient, and LRT adoption is low. By 2046, Scenario (4) is most effective due to increased traffic and the availability of public transit as an alternative. TSP allows LRT and main road vehicles to pass through intersections simultaneously, reducing delays. The redesigned lanes and new intersections also significantly cut travel time and congestion. Theoretical/Policy Implications: This research provides a framework for managing conflict points, aligning traffic systems, and improving connectivity