본문 바로가기
KERD
논문KCI 등재

중첩된 그래프 구조를 이용한 VTOL 드론의 비행경로 구조 표현과 시간속성 분석

Structural Representation of VTOL Drone Flight Route using Nested Graph Structure and Analysis of Its Time Attributes

0

조회

0

다운로드

0

인용

0

참고문헌

키워드

주제분류산업공학

초록

Vertical takeoff and landing (VTOL) is a core feature of unmanned aerial vehicles (UAVs), which are commonly referred to as drones. In emerging smart logistics, drones are expected to play an increasingly important role as mobile platforms. Therefore, research on last-mile delivery using drones is on the rise. There is a growing trend toward providing drone delivery services, particularly among retailers that handle small and lightweight items. However, there is still a lack of research on a structural definition of the VTOL drone flight model for multi-point delivery service. This paper describes a VTOL drone flight route structure for a multi-drone delivery service using rotary-wing type VTOL drones. First, we briefly explore the factors to be considered when providing drone delivery services. Second, a VTOL drone flight route model is introduced using the idea of the nested graph. Based on the proposed model, we describe various time-related attributes for delivery services using drones and present corresponding calculation methods. Additionally, as an application of the drone route model and the time attributes, we comprehensively describe a simple example of the multi-drone delivery for first-come-first-served (FCFS) services.

Abstract

Vertical takeoff and landing (VTOL) is a core feature of unmanned aerial vehicles (UAVs), which are commonly referred to as drones. In emerging smart logistics, drones are expected to play an increasingly important role as mobile platforms. Therefore, research on last-mile delivery using drones is on the rise. There is a growing trend toward providing drone delivery services, particularly among retailers that handle small and lightweight items. However, there is still a lack of research on a structural definition of the VTOL drone flight model for multi-point delivery service. This paper describes a VTOL drone flight route structure for a multi-drone delivery service using rotary-wing type VTOL drones. First, we briefly explore the factors to be considered when providing drone delivery services. Second, a VTOL drone flight route model is introduced using the idea of the nested graph. Based on the proposed model, we describe various time-related attributes for delivery services using drones and present corresponding calculation methods. Additionally, as an application of the drone route model and the time attributes, we comprehensively describe a simple example of the multi-drone delivery for first-come-first-served (FCFS) services.

참고문헌 (16)

  1. Aggarwal, S., "Path planning techniques for unmanned aerial vehicles: A review, solutions, and challenges", Computer Communications, 149, pp.270~299 (2020)
  2. Chung, S. H., "Applications of smart technologies in logistics and transport: A review", Transportation Research Part E: Logistics and Transportation Review, 153, pp.102455~ (2021)
  3. Demiane, F., "An optimized UAV trajectory planning for localization in disaster scenarios", Computer Networks, 179, pp.107378~ (2020)
  4. Eskandaripour, H., "Last-mile drone delivery: Past, present, and future", Drones, 7(2), pp.77~ (2023)
  5. Concept of Operations for Drones: A Risk Based Approach to Regulation of Unmanned Aircraft, "European Aviation Safety Agency", ~ (2015)
  6. "How Do Drone Deliveries Work?" (2024)[URL]
  7. Gonzalez-R, P. L., "Truck-drone team logistics : A heuristic approach to multi-drop route planning", Transportation Research Part C : Emerging Technologies, 114, pp.657~680 (2020)
  8. Hong, Y., "Quadrotor path planning using A* search algorithm and minimum snap trajectory generation", ETRI Journal, 43(6), pp.1013~1023 (2021)
  9. "Prime Air launches service in College Station" (2022)[URL]
  10. Kleinbekman, I. C., "eVTOL arrival sequencing and scheduling for on-demand urban air mobility", 2018 IEEE, 2018, 1~7
  11. Global Drone Package Delivery Market By Component, By Drone Type, By Package size, By Duration, By Operation Mode, By End-Use, By Region and Companies - Industry Segment Outlook, Market Assessment, Competition Scenario, Trends, and Forecast 2024-2033, "Market.us", ~ (2024)
  12. Meister, O., "Adaptive path planning for a vtol-uav", 2008 IEEE, 2008, 1252~1259
  13. Qi, N., "Energy-efficient full-duplex UAV relaying networks : Trajectory design for channel-model-free scenarios", ETRI Journal, 43(3), pp.436~446 (2021)
  14. Tang, G., "UAV trajectory planning in a port environment", Journal of Marine Science and Engineering, 8(8), pp.592~ (2020)
  15. Yu, Y. -W., "Integrated GIS Based Logistics Process Monitoring Framework with Convenient Work Processing Environment for Smart Logistics", ETRI Journal, 37(2), pp.306~316 (2015)
  16. Zhou, H., "Trajectory planning algorithm of UAV based on system positioning accuracy constraints", Electronics, 9(2), pp.250~ (2020)

관련 논문AI추천

이 간행물의 다른 논문 (19건)