Traffic management for drones flying in the city

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.

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Abstract

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.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Conference paper
Uncontrolled Keywords: Unmanned Aircraft Systems (UAS); Air Traffic Management (ATM); Procedures for Air Navigation Services-Air Traffic Management (PAN-ATM); Navigation and Surveillance (CNS)
Subjects: Q Science > QA Mathematics > QA76 Computer software
Divisions: Faculty of Computer Science & Information Technology
Depositing User: Mr. Mohd Safri
Date Deposited: 17 Aug 2018 06:56
Last Modified: 17 Aug 2018 06:56
URI: http://eprints.um.edu.my/id/eprint/18968

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