The congestion control model for unmanned aircraft system traffic management
- Authors
- Choi, Jung in; Seo, Seung hyun; Cho, Taenam
- Issue Date
- Dec-2017
- Publisher
- Springer Verlag
- Keywords
- Congestion control; Unmanned aircraft system (UAS); Unmanned aircraft system traffic management (UTM); Unmanned aircraft vehicle (UAV)
- Citation
- Advances in Computer Science and Ubiquitous Computing CSA-CUTE 17, v.474, pp 1174 - 1179
- Pages
- 6
- Indexed
- SCIE
SCOPUS
- Journal Title
- Advances in Computer Science and Ubiquitous Computing CSA-CUTE 17
- Volume
- 474
- Start Page
- 1174
- End Page
- 1179
- URI
- https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/7918
- DOI
- 10.1007/978-981-10-7605-3_187
- ISSN
- 1876-1100
- Abstract
- With the rapid development of unmanned aerial vehicle (UAV), they have been used in various fields such as logistics systems, agriculture system, and etc. As the consumption of UAV increases, unmanned aircraft traffic management (UTM) system has become necessary. For now, there are few studies on the UTM system for small UAVs. In this paper, we suggest congestion control model in air space by using GPS in real time. We consider the congestion in two ways such as density and traffic jam. When a UAV enters at the range of GCS, GCS figures out whether it is authorized or not. After then, GCS receives the GPS data from each UAVs. With GPS data, GCS calculates density and shows the current situation of density. In order to calculate speed and direction, we use the GPS tracking data. Depending on these data, we can predict the traffic jam. Our proposed method can help to improve navigation system of UAV and to establish UTM system. © Springer Nature Singapore Pte Ltd. 2018.
- Files in This Item
-
Go to Link
- Appears in
Collections - COLLEGE OF ENGINEERING SCIENCES > SCHOOL OF ELECTRICAL ENGINEERING > 1. Journal Articles
![qrcode](https://api.qrserver.com/v1/create-qr-code/?size=55x55&data=https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/7918)
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.