Air passenger forecasting using Neural Granger causal Google trend queries

• المؤلفون الرئيسيون: Long, Chan Li, Guleria, Yash, Alam, Sameer
• مؤلفون آخرون: Air Traffic Management Research Institute
• التنسيق: مقال
• اللغة: English
• منشور في: 2022
• الموضوعات: Engineering::Civil engineering; Granger Causal; Neural Network
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/160638
• المؤسسة: Nanyang Technological University

Air passenger forecasting provides important insights for both Governments and Aerospace industries to plan their for their future activities. Google Trends can provide a large database of historical search query frequency which can be used as explanatory variables for air passenger forecasting. Thi...