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Insights into Conflict Detection and Resolution Integration in AI-Enhanced Air Traffic Control Systems

Pérez-Castán, Javier A., Albalá Pedrera, Álvaro, Serrano-Mira, Lidia, Radišić, Tomislav, Tukarić, Ivan, Samardžić, Kristina, Pérez Sanz, Luis·2026·Aerospace
DOI 10.3390/aerospace13030213
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Abstract

Artificial intelligence (AI) is a cutting-edge technology that can replicate knowledge, operation and, at some point, understanding at a human-like level. The AWARE project aims to develop an AI assistant application (ASA) designed to support air traffic control (ATC) operations by building a platform based on enhanced artificial situational awareness. One of the pillars of the ASA system is to develop a set of functionalities that mimic the behavior of human actions based on the development of technical tools. Regarding safety issues, conflict detection and resolution (CD&R) is the pillar to identify conflicts and avoid mid-air collisions. The goal is to build a CD&R that can be embedded into the ASA system and generate outputs that can be usable and valuable for ATC. CD&R tool is based on two subsystems: The CD component identifies potential separation minima infringements, while the CR module produces explainable resolution maneuvers with standardized syntax for seamless ATCO integration. CD uses a deterministic algorithmic approach grounded in trajectory prediction models, while CR implements a hierarchical decision-making architecture that emulates expert ATCO cognitive processes within a client-service paradigm where pilots serve as end-users.

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Research works printed but not linked: 20

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Metadata

Authors
Pérez-Castán, J. A., Albalá Pedrera, Á., Serrano-Mira, L., Radišić, T., Tukarić, I., Samardžić, K., & Pérez Sanz, L.
Venue
Aerospace
Publisher
MDPI AG
Published
2026-02-27
Volume
13
Issue
3
Pages
213
ISSN
2226-4310
DOI
10.3390/aerospace13030213
Cited by
0
Language
en
Licence
creativecommons.org/licenses/by/4.0/ (vor)
Funders
European Union’s Horizon Europe research and innovation program (101167442)

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CoChat. (2026). Citation check: Insights into Conflict Detection and Resolution Integration in AI-Enhanced Air Traffic Control Systems. https://app.cochat.ai/papers/10.3390/aerospace13030213
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Pérez-Castán, J. A., Albalá Pedrera, Á., Serrano-Mira, L., Radišić, T., Tukarić, I., Samardžić, K., & Pérez Sanz, L. (2026). Insights into Conflict Detection and Resolution Integration in AI-Enhanced Air Traffic Control Systems. Aerospace. https://doi.org/10.3390/aerospace13030213

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