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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.
Zhang et al. (Wed,) studied this question.