Ant colony engineering for flight planning optimization by Lim, Royston Yong Han.

“…Flight planning optimization for commercial airline operations involves optimizing the flight path through pre-defined geographical positions called waypoints or Navaid. …”
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Optimisation of operation flight plan using genetic algorithm by Loh, Kai Leong.

“…Commercial airline optimisation of operation flight plan requires a list of waypoints or Navaids and their corresponding flight levels in which the aircraft should fly. …”
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Parameter sensitivity of the genetic algorithm for flight planning optimization by Ng, Justin Min Jie.

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Optimization of operational flight plan using particle swarm engineering by Goh, Jevan Junwei.

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3D flight planning optimisation using genetic algorithm by Hebert.

“…Genetic Algorithm (GA) has been extensively used for optimisation problems especially for flight planning problems. This report elaborates about the 3D problems undergoing the GA to solve for optimised solution. …”
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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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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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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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An air traffic controller action extraction-prediction model using machine learning approach by Pham, Duc-Thinh, Alam, Sameer, Duong, Vu

“…D-side controller is responsible for processing flight-plan information to plan and organize the flow of traffic entering the sector. …”
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Aircraft trajectory prediction with enriched intent using encoder-decoder architecture by Tran, Phu N., Nguyen, Hoang Quang Viet, Pham, Duc-Thinh, Alam, Sameer

“…Traditional trajectory predictors require a variety of inputs such as flight-plans, aircraft performance models, meteorological forecasts, etc. …”
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