Airspace capacity overload identification using collision risk patterns by Ma, Chunyao, Cai, Qing, Alam, Sameer, Duong, Vu N.

“…Knowledge of airspace capacity overload is important for air traffic flow management and flight planning to mitigate air traffic congestion without compromising airspace safety level. …”
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Concept of a long-range air traffic flow management by Schultz, Michael, Lubig, Daniel, Rosenow, Judith, Itoh, Eri, Athota, Srinivas, Duong, Vu N.

“…To demonstrate our approach, we choose Singapore Changi International Airport and use aircraft-transmitted positional data and flight plan information. The data are cleaned, analyzed, filtered, and processed to provide expected arrival flows with a given distance around the airport. …”
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A quantum-inspired model for human-automation trust in air traffic controllers derived from functional Magnetic Resonance Imaging and correlated with behavioural indicators by Pushparaj, Kiranraj, Ky, Gregoire, Ayeni, Alvin John, Alam, Sameer, Duong, Vu N.

“…Brain imaging verification of this synchronised coexistence of both philosophies was established with the use of functional Magnetic Resonance Imaging (fMRI) data, where ATCOs were given conflict detection tasks with the aid of ATS-CAP software that was able to generate credible flight plans with visible waypoints and airports. Data from self-reported questionnaires have been useful in building generalised models of trust. …”
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Implementation of a long-range air traffic flow management for the Asia-Pacific region by Schultz, Michael, Lubig, Daniel, Asadi, Ehsan, Rosenow, Judith, Itoh, Eri, Athota, Srinivas, Duong, Vu N.

“…To derive the operational conditions and actual traffic patterns at the airport, ADS-B messages and flight plan information are processed. The data are cleaned, analyzed, and filtered to provide information about arrival flows within given distances to the airport. …”
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