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28 April 2023 Flight disruption impact assessment based on expert system
Bingjie Liang, Fujun Wang, Jun Bi
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Proceedings Volume 12610, Third International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022); 126104D (2023) https://doi.org/10.1117/12.2671099
Event: Third International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022), 2022, Wuhan, China
Abstract
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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Bingjie Liang, Fujun Wang, and Jun Bi "Flight disruption impact assessment based on expert system", Proc. SPIE 12610, Third International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022), 126104D (28 April 2023); https://doi.org/10.1117/12.2671099
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KEYWORDS
Transportation
Computing systems
Artificial intelligence
Intelligence systems
Industry
Transportation security
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