A Digital Twin-Based Platform towards Intelligent Automation with Virtual Counterparts of Flight and Air Traffic Control Operations
Automation technologies have been deployed widely to boost the efficiency of production and operations, to trim the complicated process, and to reduce the human error involved. Nevertheless, aviation remains human-centred and requires collaboration between different parties. Given the lack of a coll...
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MDPI AG
2021
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oai:doaj.org-article:ebb9dffcf5644779b27c80709a544a852021-11-25T16:40:58ZA Digital Twin-Based Platform towards Intelligent Automation with Virtual Counterparts of Flight and Air Traffic Control Operations10.3390/app1122109232076-3417https://doaj.org/article/ebb9dffcf5644779b27c80709a544a852021-11-01T00:00:00Zhttps://www.mdpi.com/2076-3417/11/22/10923https://doaj.org/toc/2076-3417Automation technologies have been deployed widely to boost the efficiency of production and operations, to trim the complicated process, and to reduce the human error involved. Nevertheless, aviation remains human-centred and requires collaboration between different parties. Given the lack of a collaborative decision-making training platform for air traffic operations in the industry, this study utilises the concept of cyber-physical systems (CPS) to formulate a system architecture for pilots and air traffic control officers training in collaborative decision making by linking and integrating the virtual counterparts of flights and air traffic control operations. Collaborative decision-making training and the corresponding intelligent automation aids could be realised and supported. A performance analysis via a flight task undertaken with different computational load settings was prepared to evaluate the platform’s latency and integrity. The latency is presented using its 95% confidence interval, and integrity is presented using the percentage of data loss during wireless transmission. The results demonstrated convincing performance and a promising system robustness in both domains.Cho Yin YiuKam K. H. NgChing-Hung LeeChun Ting ChowTsz Ching ChanKwok Chun LiKa Yeung WongMDPI AGarticledigital twinintelligent automationcollaborative decision makingshared situational awarenessair transport operationsTechnologyTEngineering (General). Civil engineering (General)TA1-2040Biology (General)QH301-705.5PhysicsQC1-999ChemistryQD1-999ENApplied Sciences, Vol 11, Iss 10923, p 10923 (2021) |
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DOAJ |
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EN |
| topic |
digital twin intelligent automation collaborative decision making shared situational awareness air transport operations Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999 |
| spellingShingle |
digital twin intelligent automation collaborative decision making shared situational awareness air transport operations Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999 Cho Yin Yiu Kam K. H. Ng Ching-Hung Lee Chun Ting Chow Tsz Ching Chan Kwok Chun Li Ka Yeung Wong A Digital Twin-Based Platform towards Intelligent Automation with Virtual Counterparts of Flight and Air Traffic Control Operations |
| description |
Automation technologies have been deployed widely to boost the efficiency of production and operations, to trim the complicated process, and to reduce the human error involved. Nevertheless, aviation remains human-centred and requires collaboration between different parties. Given the lack of a collaborative decision-making training platform for air traffic operations in the industry, this study utilises the concept of cyber-physical systems (CPS) to formulate a system architecture for pilots and air traffic control officers training in collaborative decision making by linking and integrating the virtual counterparts of flights and air traffic control operations. Collaborative decision-making training and the corresponding intelligent automation aids could be realised and supported. A performance analysis via a flight task undertaken with different computational load settings was prepared to evaluate the platform’s latency and integrity. The latency is presented using its 95% confidence interval, and integrity is presented using the percentage of data loss during wireless transmission. The results demonstrated convincing performance and a promising system robustness in both domains. |
| format |
article |
| author |
Cho Yin Yiu Kam K. H. Ng Ching-Hung Lee Chun Ting Chow Tsz Ching Chan Kwok Chun Li Ka Yeung Wong |
| author_facet |
Cho Yin Yiu Kam K. H. Ng Ching-Hung Lee Chun Ting Chow Tsz Ching Chan Kwok Chun Li Ka Yeung Wong |
| author_sort |
Cho Yin Yiu |
| title |
A Digital Twin-Based Platform towards Intelligent Automation with Virtual Counterparts of Flight and Air Traffic Control Operations |
| title_short |
A Digital Twin-Based Platform towards Intelligent Automation with Virtual Counterparts of Flight and Air Traffic Control Operations |
| title_full |
A Digital Twin-Based Platform towards Intelligent Automation with Virtual Counterparts of Flight and Air Traffic Control Operations |
| title_fullStr |
A Digital Twin-Based Platform towards Intelligent Automation with Virtual Counterparts of Flight and Air Traffic Control Operations |
| title_full_unstemmed |
A Digital Twin-Based Platform towards Intelligent Automation with Virtual Counterparts of Flight and Air Traffic Control Operations |
| title_sort |
digital twin-based platform towards intelligent automation with virtual counterparts of flight and air traffic control operations |
| publisher |
MDPI AG |
| publishDate |
2021 |
| url |
https://doaj.org/article/ebb9dffcf5644779b27c80709a544a85 |
| work_keys_str_mv |
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