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

Author

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

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.

Suggested Citation

  • Lai, Hsueh-Yi & Chen, Chun-Hsien & Zheng, Pai & Khoo, Li Pheng, 2019. "Towards better information transparency in the air traffic landing system: A novel agent-based model with implicit interactions," Reliability Engineering and System Safety, Elsevier, vol. 191(C).
    • Handle: RePEc:eee:reensy:v:191:y:2019:i:c:s0951832019301279
    DOI: 10.1016/j.ress.2019.106569
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    References listed on IDEAS

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    1. Lai, Hsueh-Yi & Chen, Chun-Hsien & Khoo, Li-Pheng & Zheng, Pai, 2019. "Unstable approach in aviation: Mental model disconnects between pilots and air traffic controllers and interaction conflicts," Reliability Engineering and System Safety, Elsevier, vol. 185(C), pages 383-391.
    2. Moriarty, David & Jarvis, Steve, 2014. "A systems perspective on the unstable approach in commercial aviation," Reliability Engineering and System Safety, Elsevier, vol. 131(C), pages 197-202.
    3. Raghvendra V. Cowlagi & Joseph H. Saleh, 2013. "Coordinability and Consistency in Accident Causation and Prevention: Formal System Theoretic Concepts for Safety in Multilevel Systems," Risk Analysis, John Wiley & Sons, vol. 33(3), pages 420-433, March.
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    Cited by:

    1. Lai, Hsueh-Yi, 2023. "Breakdowns in team resilience during aircraft landing due to mental model disconnects as identified through machine learning," Reliability Engineering and System Safety, Elsevier, vol. 237(C).

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