자율주행 모니터링 지표를 활용한 도시부 자율주행차 위험도로구간 분석: 판교제로시티를 중심으로
Analysis of Urban Hazardous Road for Autonomous Vehicle Using Monitoring Indicator: Focused on Pangyo Zero City
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초록
최근 자율주행차 상용화에 대한 기대감이 커짐에 따라 자율주행차 및 기술에 대한 실증이점차 증가하고 있다. 정부도 자율주행 기술 경쟁력 강화 및 기술 선점을 위해 자율주행차 시범운행지구를 조성해 실도로 환경에서 자율주행 기술을 실증하고 있다. 하지만, 실도로에서 기술이 고도화되지 않은 자율주행차가 일반차와 혼재되어 운행하는 경우 인간과 자율주행 시스템의 차이로 인해 발생하는 사고가 증가하고 있다. 따라서, 자율주행차가 실도로에서 안전하게운행할 수 있는 실도로 환경을 조성하고 관제 플랫폼에서 위험 상황에 대한 지속적인 모니터링이 필요하다. 본 연구에서는 자율주행차의 실도로 운행 데이터와 자율주행 모니터링 지표를활용해 자율주행 위험도로구간을 도출한다. 또한, 위험도로구간의 도로구간 특성 및 자율주행차의 운행 특성을 고려해 위험 상황을 분석하고 시범운행지구에서 활용할 수 있는 개선점 및시사점을 제시한다. 본 연구에서 도출된 모니터링 지표와 위험도로구간 시각화 지도는 시범운행지구의 관제 플랫폼에 활용되어 효율적인 자율주행 모니터링 시스템을 구축하고 자율주행차의 안전한 운행을 유도할 것으로 기대한다.
Abstract
With the growing anticipation of the commercialization of autonomous vehicles, there has been a steady increase in the operational testing of autonomous vehicles and related technologies. The government has established pilot zones for autonomous vehicles to strengthen competitiveness in autonomous driving technologies and secure an early lead, allowing for the testing of these technologies in real road environments. However, as autonomous vehicles with undeveloped technology mix with conventional vehicles on real roads, accidents caused by the differences between human and autonomous driving systems are increasing. Therefore, it is necessary to create a real-road environment where autonomous vehicles can operate safely and to continuously monitor hazardous situations through a monitoring platform.This study uses real-road operation data of autonomous vehicles and monitoring indicators to identify high-risk road segments for autonomous driving. Additionally, it analyzes hazardous situations by considering the characteristics of the road segments and the operating characteristics of autonomous vehicles, and provides improvement points and implications that can be applied in the pilot zones. The monitoring indicators and risk road segment visualization maps derived from this study are expected to be utilized in the monitoring platform of the pilot zones to establish an efficient autonomous driving monitoring system and promote the safe operation of autonomous vehicles.
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