Artificial intelligence algorithms for passenger forecasting at Changi Airport

• Main Author: Chan, Li Long
• Other Authors: Sameer Alam
• Format: Final Year Project
• Language: English
• Published: Nanyang Technological University 2020
• Subjects: Business::Management::Forecasting; Engineering::Aeronautical engineering
• Online Access: https://hdl.handle.net/10356/141138
• Institution: Nanyang Technological University

Explanatory Variables can be provided to best forecast Changi Airport Arrival Passenger Frequencies. These explanatory variables can be Econometric: (GDP/Oil Price/ CPI etc) or they can be other causal time series data like Google Trend Query Frequencies. Explanatory variables that are identified as...