The Journal of The Korea Institute of Intelligent Transport Systems (한국ITS학회 논문지)

The Korea Institute of Intelligent Transport Systems (한국ITS학회)
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Research on Longitudinal Slope Estimation Using Digital Elevation Model

수치표고모델 정보를 활용한 도로 종단경사 산출 연구

  • 한여희 (서울시립대학교 교통공학과) ;
  • 정영훈 (현대오토에버 원도개발팀) ;
  • 천의범 (서울시립대학교 교통공학과) ;
  • 김영찬 (서울시립대학교 교통공학과) ;
  • 박신형 (서울시립대학교 교통공학과)
  • Received : 2021.08.09
  • Accepted : 2021.11.02
  • Published : 2021.12.31
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Abstract

As the micro-mobility market grows, the demand for route guidance, that includes uphill information as well, is increasing. Since the climbing angle depends on the electric motor uesed, it is necessary to establish an uphill road DB according to the threshold standard. Although road alignment information is a very important element in the basic information of the roads, there is no information currently on the longitudinal slope in the road digital map. The High Definition(HD) map which is being built as a preparation for the era of autonomous vehicles has the altitude value, unlike the existing standard node link system. However, the HD map is very insufficient because it has the altitude value only for some sections of the road network. This paper, hence, intends to propose a method to generate the road longitudinal slope using currently available data. We developed a method of computing the longitudinal slope by combining the digital elevation model and the standard link system. After creating an altitude at the road link point divided by 4m based on the Seoul road network, we calculated individual slope per unit distance of the road. After designating a representative slope for each road link, we have extracted the very steep road that cannot be climbed with personal mobility and the slippery roads that cannot be used during heavy snowfall. We additionally described errors in the altitude values due to surrounding terrain and the issues related to the slope calculation method. In the future, we expect that the road longitudinal slope information will be used as basic data that can be used for various convergence analyses.

마이크로 모빌리티 시장 규모가 성장함에 따라 오르막길 정보를 포함한 경로 안내에 대한 수요가 증가하고 있다. 전동모터에 따라 등판 각도가 다르므로 임계치 기준별 오르막길 정보구축이 필요하다. 도로의 선형정보는 주행의 안전성과 쾌적성을 좌우하는 매우 중요한 요소임에도 전자지도에 종단 경사도에 대한 정보는 부재하다. 자율주행차 시대를 대비하여 구축 중인 정밀도로지도는 기존 국가표준 노드링크와는 달리 고도정보를 추가 생성하였으나 일부 구간에만 고도정보가 있고 도로의 종단경사를 생성할 수 있는 정보는 여전히 부족한 실정이다. 이 연구에서는 현재 활용할 수 있는 데이터를 이용하여 도로의 종단 경사도를 산출하는 방안으로 국내 수치표고모델의 고도정보를 도로의 링크 정보와 매칭하는 방법을 제시하였다. 서울시 표준링크를 기준으로 4m 단위의 고도를 생성한 후 단위 거리당 개별 경사도를 산출하였다. 이를 활용하여 도로 링크 별로 대표 경사도를 부여한 후 마이크로 모빌리티가 운행할 수 없는 도로와 폭설시 노면이 미끄러워 운행할 수 없는 도로를 선정하였다. 또한, 도로 기반정보로 활용하는 수치표고모델의 한계점과 이슈를 설명하여 실제 활용 시 주의할 사항들을 기술하였다. 향후에는 본 연구의 결과를 바탕으로 기존에 부재했던 도로의 종단 경사 정보를 활용하여 다양한 융합 분석을 할 수 있기를 기대한다.

Keywords

Acknowledgement

이 논문은 서울특별시 영업용 차량 데이터 개발 및 분석 과제와 2021년도 정부(경찰청)의 재원으로 과학치안진흥센터의 지원을 받아 수행하였습니다. (092021C29S01000, 네트워크 제어를 위한 교통정체 및 혼잡운영관리 기술 개발). 본 논문은 2021년 한국ITS학회 춘계학술대회(2021.4.23)에서 발표된 내용을 수정·보완하여 작성된 것입니다

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