차량행태 기반 안전시설 안전성 평가: 무인 교통단속용 장비와 과속방지턱을 중심으로
Safety Assessment of Safety Facilities Based on Vehicle Behavior: Focusing on Automated Traffic Enforcement Equipment and Speed Hump
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초록
본 연구는 도로 및 교통안전시설, 무인 교통단속용 장비와 과속방지턱이 차량 주행 행태와도로 안전성에 미치는 영향을 정량적으로 평가하기 위해 수행되었다. 드론 영상과 YOLO v8 알고리즘을 활용하여 차량의 주행 데이터를 수집하고, SSM(Surrogate Safety Measure) 지표를적용하여 안전시설 설치 유무에 따른 주행 안정성을 분석하였다. 분석 결과, 단속장비 설치 구간에서 차량 속도가 낮아지고 일정한 주행 패턴과 안정적인 차간거리가 유지되며 주행 안정성에 긍정적인 영향을 미치는 것으로 나타났다. 반면, 단속장비가 없는 구간에서는 과속 차량 비율이 높고 주행 속도의 변동성이 커 교통 안전성이 상대적으로 낮아질 가능성을 보였다. 또한다양한 대리안전지표를 활용하여 단속장비가 설치된 구간의 주행 안전성을 다각도로 평가하였다. 실제 주행 환경에서 수집된 데이터를 기반으로 객관적인 안전성 분석을 수행한 결과, 단속장비가 도로 안전성 향상에 기여할 수 있음을 확인하였다. 향후 도로 및 교통안전시설의 설치 효과를 입증하는 기초 자료로 활용될 수 있으며, 도로 및 교통안전시설의 안전성 평가와개선 방안을 수립하는 데 중요한 근거가 될 것이다.
Abstract
This study evaluates the impact of road and traffic safety facilities, specifically unmanned enforcement equipment and speed bumps, on vehicle behavior and road safety. Using drone footage and the YOLO v8 algorithm, driving data were collected and SSM (Surrogate Safety Measure) indicators were applied to assess stability with and without safety facilities. Results show that sections with enforcement equipment exhibit lower speeds, consistent driving patterns, and stable headway distances, positively impacting stability. In contrast, sections without enforcement equipment showed higher speeding rates and speed variability, suggesting lower safety levels. This analysis confirms that enforcement equipment can improve road safety and provides foundational data for future safety evaluations and improvement strategies.
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