Forecasting airport transfer passenger flow using real-time data and machine learning
Year of publication: |
2022
|
---|---|
Authors: | Guo, Xiaojia ; Grushka-Cockayne, Yael ; De Reyck, Bert |
Published in: |
Manufacturing & service operations management : M & SOM. - Linthicum, Md. : Informs, ISSN 1526-5498, ZDB-ID 2023273-1. - Vol. 24.2022, 6, p. 3193-3214
|
Subject: | data-driven operations | passenger flow management | quantile forecasts | regression tree | Prognoseverfahren | Forecasting model | Künstliche Intelligenz | Artificial intelligence | Regressionsanalyse | Regression analysis | Flughafen | Airport | Prognose | Forecast | Passagierluftverkehr | Air passenger transport |
-
Gelhausen, Marc Christopher, (2018)
-
Macroeconomic forecasting using factor models and machine learning : an application to Japan
Maehashi, Kohei, (2020)
-
Forecasting of Hong Kong airport's passenger throughput
Tsui, Wai Hong Kan, (2014)
- More ...
-
London Heathrow airport uses real-time analytics for improving operations
Guo, Xiaojia, (2020)
-
Forecasting airport transfer passenger flow using real-time data and machine learning
Guo, Xiaojia, (2018)
-
London Heathrow Airport uses real-time analytics for improving operations
Guo, Xiaojia, (2020)
- More ...