Mr. Bingjie Liang Profile

Bingjie Liang

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Proceedings Article | 14 June 2023 Paper

Flight schedule recovery based on the marginal benefits of airlines

Jun Bi, Junyu Shen, Fujun Wang, Bingjie Liang

Proceedings Volume 12708, 1270828 (2023) https://doi.org/10.1117/12.2683857

KEYWORDS: Mathematical optimization, Inspection, Computer programming, Adverse weather, Transportation, Transform theory, Stochastic processes, Industry

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With the continuous development of civil aviation, the airline's flight network and fleet size are increasing. In order to ensure that all flights of airlines can successfully perform flight missions and improve the overall operation efficiency of airlines, airlines need to invest more human and material resources to carry out the scheduling of flight schedules. At the same time, in some special cases, when some airports or flights are delayed due to irresistible factors, how to formulate a reasonable flight recovery schedule quickly and effectively is a key that affects the revenue and operation efficiency of airlines. Aiming at the flight delay scenarios under different circumstances, this paper proposes a flight schedule recovery method based on the existing operations of airlines, aiming at maximizing the marginal benefit, that is, the comparison between the marginal revenue of a flight and the marginal cost paid by the airline. This paper intends to improve the efficiency of flight recovery in the case of airline flight delays, and provide some reference for relevant enterprises.

Proceedings Article | 29 April 2023 Paper

Flight disruption impact assessment based on expert system

Bingjie Liang, Fujun Wang, Jun Bi

Proceedings Volume 12610, 126104D (2023) https://doi.org/10.1117/12.2671099

KEYWORDS: Transportation, Computing systems, Artificial intelligence, Intelligence systems, Transportation security, Industry

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When an abnormal flight occurs, if the previous flight cannot take off as planned, it will affect the subsequent flight, resulting in a downward impact. Therefore, airlines often adopt different recovery measures (including flight delays, flight cancellations, aircraft swaps, etc.) to eliminate or mitigate the downward impact. When evaluating the pros and cons of the recovery plan, the loss of delay, loss of flight cancellation and loss of aircraft exchange are generally considered. However, in fact, many complex factors are ignored when measuring these losses, such as food, transportation and accommodation costs of crew and passengers caused by flight delay, and compensation for delay, etc. Expert systems are suitable for situations where no or little data is available and the business logic is complex, and their introduction into flight disruption impact assessment is an exploration of artificial intelligence in civil aviation. The evaluation of the impact of flight disruptions by an expert system not only quantifies the benefits of recovery solutions, but also provides some reference for evaluating the advantages and disadvantages of existing models and algorithms.

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