Aircraft Ground Taxiing Deduction and Conflict Early Warning Method Based on Control Command Information
Jingchang Zhuge, Huiyuan Liang, Yiming Zhang, Shichao Li, Xinyu Yang,, Jun Wu

TL;DR
This paper presents a low-cost, data-driven method for predicting aircraft taxiing conflicts using control command history, enabling early warnings without additional equipment.
Contribution
It introduces a novel conflict detection approach based solely on historical control command data, eliminating the need for extra sensors or infrastructure.
Findings
Effectively predicts aircraft taxiing process
Provides early conflict warnings with high accuracy
Validated with real airport data
Abstract
Aircraft taxiing conflict is a threat to the safety of airport operations, mainly due to the human error in control command infor-mation. In order to solve the problem, The aircraft taxiing deduction and conflict early warning method based on control order information is proposed. This method does not need additional equipment and operating costs, and is completely based on his-torical data and control command information. When the aircraft taxiing command is given, the future route information will be deduced, and the probability of conflict with other taxiing aircraft will be calculated to achieve conflict detection and early warning of different levels. The method is validated by the aircraft taxi data from real airports. The results show that the method can effectively predict the aircraft taxiing process, and can provide early warning of possible conflicts. Due to the advantages of…
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Taxonomy
TopicsAir Traffic Management and Optimization · Aerospace and Aviation Technology
