Towards better information transparency in the air traffic landing system: A novel agent-based model with implicit interactions

Hsueh-Yi Lai, Chun-Hsien Chen, Pai Zheng and Li Pheng Khoo

Reliability Engineering and System Safety, 2019, vol. 191, issue C

Abstract: With the ever-increasing demands of air traffic flow management, its landing system requires fundamental improvements to meet the future needs. For the current landing system, information gaps between parties (i.e. pilots and air traffic controllers) cause interaction conflicts, which hinder a system's risks detection and mitigation. Therefore, a well-implementation of data-links can promise a better information transparency, by facilitating the development of team cognition and the execution of implicit interaction between parties to predictively adapt to changing conditions. To achieve it, this research proposes a smart interaction system based on the two agent-based models (ABMs), and further compared them to examine the improvements of a system's reliability and efficiency. Results show that implicit interaction significantly reduces the reactive actions needed to cope with congestions and system errors. Moreover, the efficiency of resource utilization is also improved without causing significant delay, and hence characterizes a more reliable and efficient landing system.

Keywords: Air traffic control; Information transparency; Shared mental model; Implicit interaction; Interaction conflicts; Agent-based model (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:191:y:2019:i:c:s0951832019301279

DOI: 10.1016/j.ress.2019.106569

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