{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,25]],"date-time":"2025-06-25T07:37:11Z","timestamp":1750837031435,"version":"3.40.5"},"reference-count":26,"publisher":"American Institute of Aeronautics and Astronautics (AIAA)","issue":"3","funder":[{"name":"Postgraduate Research & Practice Innovation Program of Nanjing University of Aeronautics and Astronautics","award":["xcxjh20230723"],"award-info":[{"award-number":["xcxjh20230723"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["52002179","52372315"],"award-info":[{"award-number":["52002179","52372315"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["arc.aiaa.org"],"crossmark-restriction":true},"short-container-title":["Journal of Aerospace Information Systems"],"published-print":{"date-parts":[[2025,3]]},"abstract":"<jats:p> The emergence of surface trajectory-based operation (STBO) has promoted the development of taxi automation systems to plan conflict-free aircraft trajectories for efficient airport operations. Unlike traditional airport ground movement, aircraft guided by the taxi automation system possess a significant degree of freedom during taxiing, requiring the system to coordinate aircraft movement on the surface with timely responses to uncertainty. This study proposes a dynamic routing and scheduling approach with an adaptive surface situation characterization mechanism. A link-level unimpeded taxi time estimation method is designed to fine-grain characterize airport operation. A comprehensive evaluation system is then developed to identify similar situation patterns. Finally, a dynamic routing and scheduling approach is proposed to optimize airport ground movement with an adaptive and refined surface situation mechanism. The case study of actual operational data collected from a hub airport reveals that the proposed approach achieves efficient movement plans and collaborative control for all aircraft, as well as a more balanced utilization of the runway. The embedded adaptive situation mechanism also makes a better tradeoff between computational efficiency and optimal solutions. The study provides a promising approach to generating conflict-free four-dimensional trajectories for airport operations in future STBO scenarios. <\/jats:p>","DOI":"10.2514\/1.i011486","type":"journal-article","created":{"date-parts":[[2024,12,2]],"date-time":"2024-12-02T10:58:46Z","timestamp":1733137126000},"page":"189-201","update-policy":"https:\/\/doi.org\/10.2514\/aiaa_crossmarkpolicy","source":"Crossref","is-referenced-by-count":1,"title":["Dynamic Routing and Scheduling Approach for Aircraft Taxi Automation with Adaptive Surface Situation"],"prefix":"10.2514","volume":"22","author":[{"ORCID":"https:\/\/orcid.org\/0009-0001-1669-5332","authenticated-orcid":false,"given":"Jiawei","family":"Kang","sequence":"first","affiliation":[{"name":"Nanjing University of Aeronautics and Astronautics"}]},{"given":"Jie","family":"Bao","sequence":"additional","affiliation":[{"name":"Nanjing University of Aeronautics and 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