Literature summary.

<div><p>Ramp controllers are required to manage their workloads effectively while handling complex operational tasks, a crucial part of improving aviation safety. The ability to detect their instantaneous workload is vital for ensuring operational effectiveness and preventing hazardous i...

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Bibliographic Details
Main Author:	Quan Shao (20148209) (author)
Other Authors:	Kaiyue Jiang (9530750) (author), Ruoheng Li (20148212) (author)
Published:	2024
Subjects:	Biochemistry Neuroscience Cancer shanghai hongqiao airport preventing hazardous incidents novel methodology aimed improving aviation safety ensuring operational effectiveness best classification accuracy 98 %, achieved calculating feature weights calculate feature weights following data construction centered data construction workload assessment within supervised learning techniques ramp control tasks different workload levels optimal feature combination using real data feature combination data alignment unsupervised learning ramp controller instantaneous workload cumulative workload type data train classifiers threshold calculations provide insights paper introduces knn classifier fatigue characteristics eye tracker eye movement crucial part 8 controllers
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Literature summary.

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