Predictive and prescriptive analytics for robust airport gate assignment planning in airside operations under uncertainty
Chenliang Zhang, Zhongyi Jin, Kam K. H. Ng, Tie-Qiao Tang, Fangni Zhang, Wei Liu
| Year of publication: |
2025
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|---|---|
| Authors: | Zhang, Chenliang ; Jin, Zhongyi ; Ng, Kam K.H. ; Tang, Tie-Qiao ; Zhang, Fangni ; Liu, Wei |
| Published in: |
Transportation research : an international journal. - Oxford : Pergamon, Elsevier Science, ISSN 1878-5794, ZDB-ID 2013782-5. - Vol. 195.2025, Art.-No. 103963, p. 1-24
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| Subject: | Airport gate assignment problem | Benders-based branch-and-cut | Machine learning | Prescriptive analytics | Stochastic programming | Flughafen | Airport | Künstliche Intelligenz | Artificial intelligence | Mathematische Optimierung | Mathematical programming | Theorie | Theory | Stochastischer Prozess | Stochastic process | Scheduling-Verfahren | Scheduling problem |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.tre.2025.103963 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10015449748