Research on controller's situational awareness based on remote tower situation

Bin Xu; Wei-jun Pan; Liu Tao

doi:10.1117/12.2638630

23 May 2022 Research on controller's situational awareness based on remote tower situation

Bin Xu, Wei-jun Pan, Liu Tao

Proceedings Volume 12254, International Conference on Electronic Information Technology (EIT 2022); 122542B (2022) https://doi.org/10.1117/12.2638630
Event: International Conference on Electronic Information Technology (EIT 2022), 2022, Chengdu, China

Abstract

The remote tower system is mainly used to complete the monitoring and control tasks of the airport and temporary take-off and landing points in the unattended state. It has the advantages of low cost and convenience. The remote tower can reasonably assign flight command tasks to the controllers to reduce the risk of human error caused by boredom or sleepiness due to low work intensity. However, when controllers deal with flights from multiple airports at the same time, there will be the challenge of continuous multitasking, which is very easy to cause fatigue. Eye tracking is an important method to collect evidence of controller fatigue. This paper introduces a non-invasive detection system for evaluating the fatigue of controllers by tracking eye movement. An eye movement instrument is installed in front of the controller to monitor his eye state, collect eye movement data, and understand the fatigue state of controllers by analyzing and processing the data. In the experiment, 20 healthy subjects simulated the control for 2 hours on the control simulator, and the measurement characteristics of fixation time and pupil area were recorded by eye tracker. In order to obtain good data and fast calculation time, the effects of gaze time and pupil area of different controllers are evaluated and analyzed by using fuzzy k-nearest neighbor method. The results show that there are significant differences in the domain value distribution of pupil region between normal control and fatigue control. The results also show that the recognition accuracy of the knife cutting verification method is about 89%, which means that the method has great potential in real-time applicability and can accurately detect controller fatigue.

Citation Download Citation

Bin Xu, Wei-jun Pan, and Liu Tao "Research on controller's situational awareness based on remote tower situation", Proc. SPIE 12254, International Conference on Electronic Information Technology (EIT 2022), 122542B (23 May 2022); https://doi.org/10.1117/12.2638630

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KEYWORDS

Eye

Control systems

Data processing

Device simulation

Process control

Situational awareness sensors

Visualization

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