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Decision-Making Approaches for Airport Surrounding Traffic Management

Decision-Making Approaches for Airport Surrounding Traffic Management

Xiangfen Kong, Peng Zhao
Copyright: © 2023 |Pages: 11
ISBN13: 9781799892205|ISBN10: 1799892204|EISBN13: 9781799892212
DOI: 10.4018/978-1-7998-9220-5.ch084
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MLA

Kong, Xiangfen, and Peng Zhao. "Decision-Making Approaches for Airport Surrounding Traffic Management." Encyclopedia of Data Science and Machine Learning, edited by John Wang, IGI Global, 2023, pp. 1425-1435. https://doi.org/10.4018/978-1-7998-9220-5.ch084

APA

Kong, X. & Zhao, P. (2023). Decision-Making Approaches for Airport Surrounding Traffic Management. In J. Wang (Ed.), Encyclopedia of Data Science and Machine Learning (pp. 1425-1435). IGI Global. https://doi.org/10.4018/978-1-7998-9220-5.ch084

Chicago

Kong, Xiangfen, and Peng Zhao. "Decision-Making Approaches for Airport Surrounding Traffic Management." In Encyclopedia of Data Science and Machine Learning, edited by John Wang, 1425-1435. Hershey, PA: IGI Global, 2023. https://doi.org/10.4018/978-1-7998-9220-5.ch084

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Abstract

This article is designed to investigate the automatic decision support system in terms of analyzing airport surrounding road networks. Several decision-making approaches are illustrated and examined based on a broad range of data-driven methods, including data mining, machine learning, and deep learning. Each method has been investigated by providing a survey study that involves the most recent and comprehensive understanding of traffic engineering. As a specific problem in urban traffic congestions, airport surrounding traffic management can be referenced from similar studies in urban traffic congestion. The study can be used in improving the airport services in terms of operational efficiency and airport landside management, further supporting the construction of the smart airport.

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