A Holistic Design and Simulation of Advanced UTM Services for Urban Air Mobility

Rodolphe Fremond; Yiwen Tang; Yan Xu; Yu Su; Arinc Tutku Altun; Prithiviraj Bhundoo; Gokhan Inalhan

doi:10.1109/MAES.2026.3652153

A Holistic Design and Simulation of Advanced UTM Services for Urban Air Mobility

Rodolphe Fremond
, Yiwen Tang
, Yan Xu^*
, Yu Su
, Arinc Tutku Altun
, Prithiviraj Bhundoo
, Gokhan Inalhan

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

Abstract

This paper presents a modular suite of collaborative Unmanned Aircraft System Traffic Management (UTM) services designed to enhance urban airspace operations. The framework integrates various pre-flight and in-flight services within a semi-autonomous simulation environment that emulates UTM service provision for urban airspace operations. It adopts a holistic approach that fosters intelligent algorithm design, robust serviceability, and strong collaboration among different services, enabling comprehensive simulation and assessment of their automated interactions and overall system performance. Building on the Air Mobility Urban - Large Experimental Demonstrations (AMU-LED) project, this study advances UTM service maturity with over 1,600 simulation flight hours across three traffic density levels within a synthetic urban airspace. The analyses assess the impact of specific UTM services on Key Performance Areas such as safety, path efficiency, and operational workload in a 115 NM² airspace, accommodating up to 150 operations, including 40 simultaneous operations.

Original language	English
Journal	IEEE Aerospace and Electronic Systems Magazine
DOIs	https://doi.org/10.1109/MAES.2026.3652153
Publication status	Accepted/In press - 2026
Externally published	Yes

Bibliographical note

Publisher Copyright:
© 1986-2012 IEEE.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 11 Sustainable Cities and Communities

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10.1109/MAES.2026.3652153

Cite this

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title = "A Holistic Design and Simulation of Advanced UTM Services for Urban Air Mobility",

abstract = "This paper presents a modular suite of collaborative Unmanned Aircraft System Traffic Management (UTM) services designed to enhance urban airspace operations. The framework integrates various pre-flight and in-flight services within a semi-autonomous simulation environment that emulates UTM service provision for urban airspace operations. It adopts a holistic approach that fosters intelligent algorithm design, robust serviceability, and strong collaboration among different services, enabling comprehensive simulation and assessment of their automated interactions and overall system performance. Building on the Air Mobility Urban - Large Experimental Demonstrations (AMU-LED) project, this study advances UTM service maturity with over 1,600 simulation flight hours across three traffic density levels within a synthetic urban airspace. The analyses assess the impact of specific UTM services on Key Performance Areas such as safety, path efficiency, and operational workload in a 115 NM2 airspace, accommodating up to 150 operations, including 40 simultaneous operations.",

author = "Rodolphe Fremond and Yiwen Tang and Yan Xu and Yu Su and Altun, \{Arinc Tutku\} and Prithiviraj Bhundoo and Gokhan Inalhan",

note = "Publisher Copyright: {\textcopyright} 1986-2012 IEEE.",

year = "2026",

doi = "10.1109/MAES.2026.3652153",

language = "English",

journal = "IEEE Aerospace and Electronic Systems Magazine",

issn = "0885-8985",

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AU - Fremond, Rodolphe

AU - Tang, Yiwen

AU - Xu, Yan

AU - Su, Yu

AU - Altun, Arinc Tutku

AU - Bhundoo, Prithiviraj

AU - Inalhan, Gokhan

PY - 2026

Y1 - 2026

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AB - This paper presents a modular suite of collaborative Unmanned Aircraft System Traffic Management (UTM) services designed to enhance urban airspace operations. The framework integrates various pre-flight and in-flight services within a semi-autonomous simulation environment that emulates UTM service provision for urban airspace operations. It adopts a holistic approach that fosters intelligent algorithm design, robust serviceability, and strong collaboration among different services, enabling comprehensive simulation and assessment of their automated interactions and overall system performance. Building on the Air Mobility Urban - Large Experimental Demonstrations (AMU-LED) project, this study advances UTM service maturity with over 1,600 simulation flight hours across three traffic density levels within a synthetic urban airspace. The analyses assess the impact of specific UTM services on Key Performance Areas such as safety, path efficiency, and operational workload in a 115 NM2 airspace, accommodating up to 150 operations, including 40 simultaneous operations.

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JO - IEEE Aerospace and Electronic Systems Magazine

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ER -

A Holistic Design and Simulation of Advanced UTM Services for Urban Air Mobility

Abstract

Bibliographical note

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