The Benefits of Using Intent Information in Tactical Conflict Resolution for U-Space/UTM Operations

Journal Article (2024)
Author(s)

Calin Andrei Badea (Student TU Delft)

J. Ellerbroek (TU Delft - Operations & Environment)

Jacco Hoekstra (TU Delft - Operations & Environment)

Research Group
Operations & Environment
DOI related publication
https://doi.org/10.1109/TITS.2024.3505981
More Info
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Publication Year
2024
Language
English
Research Group
Operations & Environment
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. @en
Issue number
2
Volume number
26
Pages (from-to)
1864-1875
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Abstract

U-space/UTM operations are considered an integral part of the future development of cities, with applications ranging from package delivery to urban air mobility. However, this new complex environment also poses challenges for the conflict detection and resolution (CD&R) process, especially if aircraft will have to navigate above the existing street network due to privacy and obstacle constraints. The research at hand aims to investigate how information about the environment and other aircraft can be used to improve the performance of CD&R methods in constrained urban airspace. For this, three algorithms are developed and tested, each with different levels of information availability: the first solely uses current state information for conflict solving, the second includes additional information about the urban environment within the CD&R process, and the last also incorporates trajectory intent data to solve conflicts. These methods are tested within simulations of urban air traffic scenarios at various demand and wind levels to determine their safety and efficiency performance. Results show the use of street geometry information benefits the resolution process greatly, increasing the safety level while minimally affecting efficiency. Intent information is shown to not be critical for achieving this.

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