Airborne Collision Avoidance System as a Cyber-Physical System by Andrei C. NAE, Ioan DUMITRACHE

“…In this paper the key concepts of ITS - Intelligent Transport Systems, CPS - Cyber-Physical Systems and SM - Smart Mobility are defined and correlated with the need for ACAS – Airborne Collision Avoidance System, as the last resort safety net and indispensable ingredient in civil aviation. …”
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What Matters in the Effectiveness of Airborne Collision Avoidance Systems? Monte Carlo Simulation of Uncertainties for TCAS II and ACAS Xa by Sybert Stroeve

Subjects: “…airborne collision avoidance system…”
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Identification of Key Flight Conflict Nodes Based on Complex Network Theory

“…Firstly, an aircraft state network is established with aircraft as nodes and Airborne Collision Avoidance System (ACAS) communication relations as connecting edges. …”
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Identification of Key Nodes in Aircraft State Network Based on Complex Network Theory by Wang Zekun, Wen Xiangxi, Wu Minggong

“…First, an aircraft state network is constructed with an aircraft as nodes and airborne collision avoidance system (ACAS) communication relations as edges. …”
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Collision avoidance system optimization for closely spaced parallel operations through surrogate modeling by Smith, Kyle A. (Kyle Alexander)

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Reinforcement Learning for Cybersecurity Risk Assessment of Advanced Air Mobility Systems by Pieper, Brenton A.

“…This thesis is motivated by the need to assess safety risks due to cyber vulnerabilities in the surveillance components of AAM systems such as Automatic Dependent Surveillance-Broadcast (ADS-B) and the Airborne Collision Avoidance System (ACAS). We focus on spoofing attacks targeted at specific AAM agents and develop a computational approach to evaluate the impact of such attacks on the performance of cooperative agents modeled in a Multi-Agent Reinforcement Learning (MARL) framework. …”
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Adaptive IMM-UKF for Airborne Tracking by Alvaro Arroyo Cebeira, Mariano Asensio Vicente

“…The experimental validation is performed with Monte Carlo simulations of three scenarios with ACAS Xa tracking logic as a benchmark, which is the next generation of airborne collision avoidance systems. The two algorithms are compared using hypothesis testing of the root mean square errors. …”
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Collision Avoidance for Unmanned Aircraft using Markov Decision Processes by Temizer, Selim, Kochenderfer, Mykel J., Kaelbling, Leslie P., Lozano-Perez, Tomas, Kuchar, James K.

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Planning under uncertainty for dynamic collision avoidance by Temizer, Selim, 1977-

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