Artificial intelligence algorithms for passenger forecasting at Changi Airport

• المؤلف الرئيسي: Chan, Li Long
• مؤلفون آخرون: Sameer Alam
• التنسيق: Final Year Project
• اللغة: English
• منشور في: Nanyang Technological University 2020
• الموضوعات: Business::Management::Forecasting; Engineering::Aeronautical engineering
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/141138
• المؤسسة: 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...