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Traffic management for drones flying in the city

Air Traffic Management (ATM) is designed based on the notion of a pilot navigating an aircraft from within the aircraft. Increasing demand for Unmanned Aircraft Systems (UAS) usage and its safe integration into segregated/non-segregated airspace, on the other hand, have raised a question on the adop...

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Main Author: Ali, B.S.
Format: Conference or Workshop Item
Language:English
Published: 2018
Subjects:
QA76 Computer software
Online Access:http://eprints.um.edu.my/18968/1/Traffic_Management_for_Drones_Flying_in_the_City.pdf
http://eprints.um.edu.my/18968/
http://atrs2018korea.kr/overview.asp
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spelling my.um.eprints.189682018-08-17T06:56:24Z http://eprints.um.edu.my/18968/ Traffic management for drones flying in the city Ali, B.S. QA76 Computer software Air Traffic Management (ATM) is designed based on the notion of a pilot navigating an aircraft from within the aircraft. Increasing demand for Unmanned Aircraft Systems (UAS) usage and its safe integration into segregated/non-segregated airspace, on the other hand, have raised a question on the adoption of the current ATM for the UAS Traffic Management (UTM). The Procedures for Air Navigation Services-Air Traffic Management (PAN-ATM) and Procedures for Air Navigation Services - aircraft operations (PAN-OPS) rules are both developed for manned flight operations. Therefore, this work (i) defines the UTM system and describes its envisioned functionalities; (ii) performs an exploratory research to identify the distinctions between a manned and an unmanned flight operations and consequently the possible challenges to implement UTM with regard to the ATM; (iii) determines potential Communication, Navigation and Surveillance (CNS) technologies to support the UTM system; and proposes an architectural framework for UTM based on the findings. It is important to highlight that this work is developed based on the assumption that the UAS is remotely - piloted and operates in the class G airspace (500 feet and below) in urban areas where the UAS are exposed to various obstacles such as static objects: high-rise buildings, trees, lamp posts, over-ground rail tracks and dynamic objects: cranes. 2018 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.um.edu.my/18968/1/Traffic_Management_for_Drones_Flying_in_the_City.pdf Ali, B.S. (2018) Traffic management for drones flying in the city. In: 22nd Air Transport Research Society World Conference (ATRS 2018), 2-5 July 2018, COEX, Seoul, Republic of Korea. http://atrs2018korea.kr/overview.asp
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
language English
topic QA76 Computer software
spellingShingle QA76 Computer software
Ali, B.S.
Traffic management for drones flying in the city
description Air Traffic Management (ATM) is designed based on the notion of a pilot navigating an aircraft from within the aircraft. Increasing demand for Unmanned Aircraft Systems (UAS) usage and its safe integration into segregated/non-segregated airspace, on the other hand, have raised a question on the adoption of the current ATM for the UAS Traffic Management (UTM). The Procedures for Air Navigation Services-Air Traffic Management (PAN-ATM) and Procedures for Air Navigation Services - aircraft operations (PAN-OPS) rules are both developed for manned flight operations. Therefore, this work (i) defines the UTM system and describes its envisioned functionalities; (ii) performs an exploratory research to identify the distinctions between a manned and an unmanned flight operations and consequently the possible challenges to implement UTM with regard to the ATM; (iii) determines potential Communication, Navigation and Surveillance (CNS) technologies to support the UTM system; and proposes an architectural framework for UTM based on the findings. It is important to highlight that this work is developed based on the assumption that the UAS is remotely - piloted and operates in the class G airspace (500 feet and below) in urban areas where the UAS are exposed to various obstacles such as static objects: high-rise buildings, trees, lamp posts, over-ground rail tracks and dynamic objects: cranes.
format Conference or Workshop Item
author Ali, B.S.
author_facet Ali, B.S.
author_sort Ali, B.S.
title Traffic management for drones flying in the city
title_short Traffic management for drones flying in the city
title_full Traffic management for drones flying in the city
title_fullStr Traffic management for drones flying in the city
title_full_unstemmed Traffic management for drones flying in the city
title_sort traffic management for drones flying in the city
publishDate 2018
url http://eprints.um.edu.my/18968/1/Traffic_Management_for_Drones_Flying_in_the_City.pdf
http://eprints.um.edu.my/18968/
http://atrs2018korea.kr/overview.asp
_version_ 1643690846882627584
score 13.211869

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