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Surface taxiway optimization is one of the core tasks of A-SMGCS (Advanced Surface Movement Guidance and Control System). With the continuous development of the aviation transportation industry, reducing taxiing time and fuel consumption, and improving surface efficiency have become urgent tasks. This paper analyzes the key points and driving factors of taxiing path planning based on the current airport operation status and the future requirements of A-SMGCS for airport operations. It describes the research status and application scope of static and dynamic taxiway scheduling methods, summarizes the modeling and solving methods of aircraft taxiing paths considering different optimization goals, and explains the roles of these two methods in adapting to airport operation environments. Additionally, it discusses the technical difficulties and challenges faced in achieving greener and smarter airports
Wang et al. (Wed,) studied this question.