การประเมินความขัดแย้งระหว่างรถจักรยานยนต์บนเกาะสีและกระแสจราจรสายหลักในเขตเมือง โดยใช้อากาศยานไร้คนขับสำรวจพฤติกรรมผู้ขับขี่ยานพาหนะ: กรณีศึกษาพื้นที่เข้าออก มหาวิทยาลัยเทคโนโลยีราชมงคลอีสาน วิทยาเขตขอนแก่น

Songphol  Songsaengrit; Thanapol  Promraksa; Warunvit  Auttha; Patiphan  Kaewwichian; Phongphan  Tankasem

Authors

Songphol Songsaengrit Lecturer, Department of Civil Engineering, Faculty of Engineering, Rajamangala University of Technology Isan, Khon Kaen Campus
Thanapol Promraksa Lecturer, Department of Civil Engineering, Faculty of Engineering, Rajamangala University of Technology Isan, Khon Kaen Campus
Warunvit Auttha Lecturer, Department of Civil Engineering, Faculty of Engineering, Rajamangala University of Technology Isan, Khon Kaen Campus
Patiphan Kaewwichian Assistant Professor, Department of Civil Engineering, Faculty of Engineering, Rajamangala University of Technology Isan, Khon Kaen Campus
Phongphan Tankasem Assistant Professor, Department of Civil Engineering, Faculty of Engineering, Mahasarakham University

Keywords:

Unmanned aerial vehicle, Motorcycle, Road medians

Abstract

Motorcycles often use painted medians as waiting areas to change traffic directions, an illegal and unpredictable behavior that contradicts the intended purpose of medians, which is to reduce conflict points on roadways. This study aims to highlight the accident risks associated with urban roads that use painted medians for traffic separation. Using unmanned aerial vehicles (UAVs), data were collected to analyze and predict potential traffic conflicts without waiting for actual accidents to occur. The findings indicate that motorcyclists are at higher risk when they decide to exit the painted median after the main traffic flow has passed. Furthermore, conflicts involving motorcycles are more frequent and severe compared to other vehicle types. The results provide actionable insights for improving the design of painted medians to enhance safety in areas with high traffic conflict density. However, further studies addressing variations in spatial contexts and road user behavior factors are recommended to refine and expand the findings.

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