Paper
28 August 2024 Research on airport runway-taxiway system controlling optimization based on scheduling algorithm
Jian Zhang, Peng Yu
Author Affiliations +
Proceedings Volume 13251, Ninth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2024); 1325135 (2024) https://doi.org/10.1117/12.3039849
Event: 9th International Conference on Electromechanical Control Technology and Transportation (ICECTT 2024), 2024, Guilin, China
Abstract
At present, tremendous flights continues to increase and the runway taxiing system becomes more complex, the number of ground operational conflicts in large airports is also increasing, which seriously affects the safety and efficient operation of airports. In response to this problem, International Civil Aviation Organization has proposed an Advanced Scene Motion Guidance Control System, which aims to improve the management efficiency of airport ground operations through four functional modules: target monitoring, path planning, conflict monitoring and taxi guidance. In this work, a scheduling algorithm is proposed to control and optimize the runway-taxiway system, which aims to improve the efficiency and safety of airport ground operations. Our approach employs a dynamic scheduling algorithm that integrates real-time data analysis, predictive modeling, and adaptive control mechanisms to effectively manage runway and taxiway usage. The algorithm prioritizes flights based on multiple criteria, including take-off and landing times, urgency, and current traffic conditions, to optimize aircraft traffic on the ground. Through simulated airports and tested our dispatch algorithms to assess the robustness and adaptability of our system. The results show that our algorithm significantly improves the throughput of aircraft motion, significantly reducing taxiing time and latency.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Jian Zhang and Peng Yu "Research on airport runway-taxiway system controlling optimization based on scheduling algorithm", Proc. SPIE 13251, Ninth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2024), 1325135 (28 August 2024); https://doi.org/10.1117/12.3039849
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KEYWORDS
Mathematical optimization

Control systems

Safety

Algorithms

Detection and tracking algorithms

Radar

Surveillance

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