Journal of Aerospace System Engineering (항공우주시스템공학회지)

The Society for Aerospace System Engineering (항공우주시스템공학회)
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A Study on Vertiport Location and Corridor Selections using GIS Analysis in Busan Area

GIS 분석을 활용한 부산권 버티포트 위치 및 회랑 선정에 관한 연구

  • ChanHee Moon (Department of Aerospace Engineering, Pusan National University) ;
  • HaYoung Shi (Department of Aerospace Engineering, Pusan National University) ;
  • TaeWan Ku (Engineering Research Center for Innovative Technology on Advanced Forming, Pusan National University) ;
  • BeomSoo Kang (Department of Aerospace Engineering, Pusan National University)
  • 문찬희 (부산대학교 항공우주공학과) ;
  • 시하영 (부산대학교 항공우주공학과) ;
  • 구태완 (부산대학교 설계기반미래성형기술센터) ;
  • 강범수 (부산대학교 항공우주공학과)
  • Received : 2023.09.19
  • Accepted : 2023.11.27
  • Published : 2023.12.31
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Abstract

As urban traffic congestion and environmental pollution are becoming significant issues in major cities, Urban Air Mobility (UAM) is gaining attention as an efficient solution. In this study, we conducted a geographic information system (GIS)-based spatial analysis and clustering algorithm considering the actual data of the terrain and infrastructure in the Busan area, through which we were able to select the location of vertiports and corridors (flight routes) for the UAM operation. Based on the Gimhae International Airport, which is expected to be the center of the UAM infrastructure system in the Busan region, we judged that three vertiport locations in the target area were suitable. Subsequently, we used the A* (A-star) algorithm considering Ground Risk to select a flight path that minimized both risk and distance. Through this, we confirmed a risk reduction effect of 80.168% compared to the minimum distance route.

도심 교통 체증과 환경오염이 중요한 대도시 문제로 부각되는 가운데, 최근에는 Urban Air Mobility(UAM)가 효율적인 대책으로 주목받고 있다. 본 연구에서는 부산 지역의 지형 및 인프라 등의 실제 데이터를 고려한 GIS 기반 공간 분석과 군집 알고리즘을 수행하였으며 이를 통해 UAM 운영을 위한 버티포트 위치와 경로를 선정할 수 있었다. 부산권 UAM 인프라 시스템의 중심으로 예상되는 김해국제공항을 기반으로, 목표 지역에서 세 개의 버티포트 위치가 적합하다 판단하였으며, 이후 지상 위험 평가(Ground Risk)를 고려한 A*(A-star) 알고리즘을 이용해 위험도와 거리를 최소화하는 비행경로를 선정하였고, 이를 통해 최소 거리 경로 대비 80.168%의 위험 감소 효과를 확인하였다.

Keywords

Acknowledgement

본 연구는 교육부 및 한국연구재단의 4단계 두뇌한국 21 사업(4단계 BK21 사업)으로 지원된 연구임 본 논문은 부산대학교 기본연구지원사업(2년)에 의하여 연구되었음

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