Architecture design and development for real-time risk-based unmanned aerial system traffic management by Ra, Thu, Dai, Wei, Ng, Ee Meng, Low, Kin Huat

“…The system enables both strategical and tactical flight planning capabilities and provides interfaces for both UAS service providers and operators.…”
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Conflict-free trajectory planning for urban air mobility based on an airspace-resource-centric approach by Dai, Wei, Low, Kin Huat

“…Firstly, a flight level is assigned to each flight plan. Secondly, an optimal 3D path is generated by A* algorithm and is smoothed. …”
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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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A multiobjective optimization approach for air traffic flow management for airspace safety enhancement by Cai, Qing, Ang, Haojie, Alam, Sameer

“…The proposed framework aims to optimize the flight level assignment for a given set of flight plans such that the lateral collision risk can be reduced. …”
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Population density estimation for dynamic ground risk assessment of drone operations by Pang, Bizhao, Hu, Xinting, Poh, Yi Yang, Low, Kin Huat

“…Finally, a graphic user interface is developed with backend computations to facilitate the decision makings for: 1) regulatory bodies to determine if a flight plan can be approved based on its risk cost and the target level of safety, and 2) UAS operators (e.g., drone delivery companies) to evaluate the overall risk level of their fleet by compute the risk cost of each flight plan. …”
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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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Devising strategies for aircraft arrival processes via distance-based queuing models by Itoh, Eri, Schultz, Michael, Srinivas, Athota, Duong, Vu

“…Stochastic parameters in the models are identified using large volume of flight plan and track data-sets, including actual radar data and ADS-B data. …”
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Studies of air traffic forecasts, airspace load and the effect of ADS-B via satellites on flight times by Zhong, Z. W., Ridhwan Salleh, Saiful, Chow, W. X., Ong, Z. M.

“…Our research also studied how ADS-B would affect the time taken for aircraft to travel. 6000 flights departing from and landing at the airport were studied. New flight plans were simulated with improved flight paths due to the implementation of ADS-B, and flight times of all studied flights could be improved.…”
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Image-based conflict detection with convolutional neural network under weather uncertainty by Dang, Phuoc Huu, Mohamed Arif Bin Mohamed, Alam, Sameer

“…Traditional conflict detection tools are untenable in such situations as they primarily rely on flight-plan, aircraft performance characteristics and trajectories projection in short-term (2-4 minutes). …”
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A supervised learning approach for 4D air traffic conflict prediction under trajectory uncertainty by Mohamed Arif Mohamed, Dang, Huu Phuoc, Alam, Sameer

“…However, the underlying models rely on flight plans and extrapolated short-term trajectory prediction. …”
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