Forecasting airport transfer passenger flow using realtime data and machine learning

• Main Authors: GUO, Xiaojia, GRUSHKA-COCKAYNE, Yael, DE REYCK, Bert
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2023
• Subjects: quantile forecasts; regression tree; copula; passenger flow management; data-driven operations; Operations and Supply Chain Management; Sales and Merchandising
• Online Access: https://ink.library.smu.edu.sg/lkcsb_research/6768; https://ink.library.smu.edu.sg/context/lkcsb_research/article/7736/viewcontent/19_040_89360426_c7a9_4aac_95e1_a3a3db276dc8.pdf
• Institution: Singapore Management University

Problem definition: In collaboration with Heathrow airport, we develop a predictive system that generates quantile forecasts of transfer passengers’ connection times. Sampling from the distribution of individual passengers’ connection times, the system also produces quantile forecasts for the number...