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Semantic Scholar · Article (J. Robotics Mechatronics)

Unmanned Aircraft System Traffic Management (UTM) Simulation of Drone Delivery Models in 2030 Japan

Published 2021-01-01 From J. Robotics Mechatronics 4 authors

Attribution

This is the abstract and citation. Full text lives at Semantic Scholar — we link out rather than host. All credit to the authors and J. Robotics Mechatronics.

Abstract

Verbatim from Semantic Scholar. Not paraphrased, not summarized.

An unmanned aircraft system traffic management (UTM) system to support flights beyond visual line-of-sight is considered necessary for the promotion of commercial drone use. In the research and development of UTM systems, cost and time constraints make it difficult to actually fly a large number of drones in the same airspace, so research is mainly conducted using a simulator. This paper presents details of a UTM simulator named the “scalable simulator for knowledge of low-altitude environment” (SKALE) developed by the Japan Aerospace Exploration Agency (JAXA), with respect to the construction of a model case of drone delivery model set in 2030 in Japan. Moreover, UTM concepts for airspace safety and efficient airspace utilization (parcel transport) are proposed and evaluated using JAXA’s UTM simulator and drone delivery model cases. Simulation results are discussed, and the knowledge gained for the improvement of airspace safety and airspace utilization (parcel transport) efficiency is documented.

Authors

  • Atsushi Oosedo
  • H. Hattori
  • Ippei Yasui
  • Kenya Harada

Keywords

  • Computer Science
  • Engineering
  • Environmental Science

Citation: Atsushi Oosedo, H. Hattori, Ippei Yasui , et al. (2021). Unmanned Aircraft System Traffic Management (UTM) Simulation of Drone Delivery Models in 2030 Japan. J. Robotics Mechatronics. Semantic Scholar ID 8366118cc7a34cbf88649d4dcf6512970fd9be48. https://doi.org/10.20965/jrm.2021.p0348 ↗