Airport surface movement prediction and safety assessment with spatial–temporal graph convolutional neural network-Reference-Cited by-同舟云学术

Airport surface movement prediction and safety assessment with spatial–temporal graph convolutional neural network

Published:2022-11 Issue: Volume:144 Page:103873
ISSN:0968-090X
Container-title:Transportation Research Part C: Emerging Technologies
language:en
Short-container-title:Transportation Research Part C: Emerging Technologies

Author:

Zhang Xiaoge^ORCID,Zhong Sanqiang,Mahadevan Sankaran

Funder

Arizona State University

National Aeronautics and Space Administration

Publisher

Elsevier BV

Subject

Management Science and Operations Research,Transportation,Automotive Engineering,Civil and Structural Engineering

Reference36 articles.

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3. Airport Traffic Control - Terminal Spacing and Sequencing, ., 2019b. https://www.faa.gov/air_traffic/publications/atpubs/atc_html/chap3_section_8.html. (Accessed 11 August 2021).

4. Atkin, J.A.D., Burke, E.K., Ravizza, S., 2010. The airport ground movement problem: Past and current research and future directions. In: Proceedings of the 4th International Conference on Research in Air Transportation, ICRAT, Budapest, Hungary. pp. 131–138.

5. Estimating taxi-out times with a reinforcement learning algorithm;Balakrishna,2008

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