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Xiujie Wei, Yinfeng Li, Ranran Shang, Chang Ruan and Jingzhang Xing
To conduct an accurate and reliable airport delay prediction will provide an important basis for the macro control of an airspace delay situation and the dynamic allocation of airspace system capacity balance. Accordingly, a method of delay prediction fo...
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Kerim Kiliç and Jose M. Sallan
In modern business, Artificial Intelligence (AI) and Machine Learning (ML) have affected strategy and decision-making positively in the form of predictive modeling. This study aims to use ML and AI to predict arrival flight delays in the United States ai...
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Zhuoming Du, Junfeng Zhang and Bo Kang
Decision support tools for arrival sequencing and scheduling could assist air traffic controllers in managing the arrival aircraft in terminal areas. However, one critical issue is that the current method for dealing with the arrival sequencing and sched...
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Deepudev Sahadevan, Hannah Al Ali, Dorian Notman and Zindoga Mukandavire
Managing aircraft turnaround is a complex process due to various factors, including passenger handling. Airport ground handling, resource planning, optimal manpower, and equipment utilisation are some cost-cutting strategies, particularly for airlines an...
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Hang Zhou, Weicong Li, Ziqi Jiang, Fanger Cai and Yuting Xue
Accurate flight departure time prediction enables the rational use of airport support resources, aprons, and runway resources, and promotes the implementation of collaborative decision-making. In order to accurately predict the flight departure time, thi...
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Ligang Yuan, Yang Zeng, Haiyan Chen and Jiazhi Jin
In order to quantify the degree of influence of weather on traffic situations in real time, this paper proposes a terminal traffic situation prediction model under the influence of weather (TSPM-W) based on deep learning approaches. First, a feature set ...
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Micha Zoutendijk and Mihaela Mitici
The problem of flight delay prediction is approached most often by predicting a delay class or value. However, the aviation industry can benefit greatly from probabilistic delay predictions on an individual flight basis, as these give insight into the un...
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Isabel C. Metz, Joost Ellerbroek, Thorsten Mühlhausen, Dirk Kügler and Jacco M. Hoekstra
Bird strike prevention in civil aviation has traditionally focused on the airport perimeter. Since the risk of especially damaging bird strikes outside the airport boundaries is rising, this paper investigates the safety potential of operational bird str...
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Mariam Thomas, Aditya V. Sohoni, K.V. Krishna Rao
Pág. 2408 - 2427
Intercity travel is crucial to the economic development of any nation with air travel demand modeling being a key component in transportation planning. For this study, the university township of IIT Bombay in Mumbai, India is considered to capture the tr...
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