A Human Machine Function Allocation Model Based on Queue Scheduling Algorithm in the Cockpit of a Civil Aircraf

REN Boxi; SUN Youchao; LIU Weicheng; ZENG Zhe; ZENG Yining

doi:10.3963/j.jssn.1674-4861.2025.01.010

Volume 43 Issue 1

Feb. 2025

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Article Navigation > Journal of Transport Information and Safety > 2025 > 43(1): 107-119

REN Boxi, SUN Youchao, LIU Weicheng, ZENG Zhe, ZENG Yining. A Human Machine Function Allocation Model Based on Queue Scheduling Algorithm in the Cockpit of a Civil Aircraf[J]. Journal of Transport Information and Safety, 2025, 43(1): 107-119. doi: 10.3963/j.jssn.1674-4861.2025.01.010

Citation:

REN Boxi, SUN Youchao, LIU Weicheng, ZENG Zhe, ZENG Yining. A Human Machine Function Allocation Model Based on Queue Scheduling Algorithm in the Cockpit of a Civil Aircraf[J]. Journal of Transport Information and Safety, 2025, 43(1): 107-119. doi: 10.3963/j.jssn.1674-4861.2025.01.010

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A Human Machine Function Allocation Model Based on Queue Scheduling Algorithm in the Cockpit of a Civil Aircraf

doi: 10.3963/j.jssn.1674-4861.2025.01.010

College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China

Received Date: 2024-07-04
Available Online: 2025-06-27

Abstract

Abstract

The high complexity of the aircraft cockpit human-machine system (ACHMS) has resulted in increasingly heavy information flow loads for pilots. To address this challenge, a human-machine function allocation model is proposed based on queue scheduling algorithms. The operational complexity of flight procedures and pilot resource requirements during human-machine interactions are quantitatively evaluated using entropy analysis. A spatiotemporal dynamic factor-integrated metric is proposed to measure pilot information flow load intensity, serving dual purposes as directed edge weights in information interaction networks and scheduling criteria. These networks are subsequently constructed to visually represent information transmission processes and coupling relationships between pilots and cockpit interfaces. Building on the mapping relationship between ACHMS and computer operating systems, the serial scheduling mechanism of the weighted round robin (WRR) algorithm is extended. A queue-weight-based cognitive resource differential allocation and information flow queuing scheduling mechanism is established, while a human-machine function allocation strategy for cockpits is proposed based on the improved WRR algorithm. The Boeing 737 takeoff procedure serves as a validation case, with information flows systematically extracted throughout operational phases. A human-machine coupled information interaction network is constructed for takeoff procedures, with the enhanced WRR algorithm deployed for dynamic scheduling and function allocation triggering. Post-allocation analysis reveals significant improvements: pilot node closeness centrality improves by 4.82 times, betweenness centrality rises by 0.47%, and network robustness enhances 4.24 times. Maximum reductions of 86.8% in pilot load intensity and 93.5% in information coupling degree are achieved. The case verified the effectiveness of the proposed human-machine function allocation model in reducing the pilot information flow load at critical moments, thereby improve flight safety.
- human-machine interaction,
- human-machine system,
- human-machine function allocation,
- queue scheduling algorithm,
- information flow load

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References(33)

References

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A Human Machine Function Allocation Model Based on Queue Scheduling Algorithm in the Cockpit of a Civil Aircraf

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