Systematic review of passenger demand forecasting in aviation industry
Forecasting aviation demand is a significant challenge in the airline industry. The design of
commercial aviation networks heavily relies on reliable travel demand predictions. It enables …
commercial aviation networks heavily relies on reliable travel demand predictions. It enables …
A literature review and citation analyses of air travel demand studies published between 2010 and 2020
Accurate forecasting of air travel demand is vital for the resource planning of the air
transportation industry. Therefore, identifying contributing factors and understanding the …
transportation industry. Therefore, identifying contributing factors and understanding the …
A novel passenger flow prediction model using deep learning methods
L Liu, RC Chen - Transportation Research Part C: Emerging …, 2017 - Elsevier
Currently, deep learning has been successfully applied in many fields and achieved
amazing results. Meanwhile, big data has revolutionized the transportation industry over the …
amazing results. Meanwhile, big data has revolutionized the transportation industry over the …
The hybrid PROPHET-SVR approach for forecasting product time series demand with seasonality
L Guo, W Fang, Q Zhao, X Wang - Computers & Industrial Engineering, 2021 - Elsevier
Demand forecasting is the basic aspect of supply chain management. It has important
impacts on planning, capacity and inventory control decisions. Seasonality is a common …
impacts on planning, capacity and inventory control decisions. Seasonality is a common …
Forecasting the demand of the aviation industry using hybrid time series SARIMA-SVR approach
In this study, a novel SARIMA-SVR model is proposed to forecast statistical indicators in the
aviation industry that can be used for later capacity management and planning purpose …
aviation industry that can be used for later capacity management and planning purpose …
[PDF][PDF] Random forest and support vector machine on features selection for regression analysis
Feature selection becomes predominant and quite prominent in the case of datasets that are
contained with a higher number of variables. RF (Random Forest) has emerged as a robust …
contained with a higher number of variables. RF (Random Forest) has emerged as a robust …
Air transportation demand forecast through Bagging Holt Winters methods
TM Dantas, FLC Oliveira, HMV Repolho - Journal of Air Transport …, 2017 - Elsevier
This paper expands the fields of application of combined Bootstrap aggregating (Bagging)
and Holt Winters methods to the air transportation industry, a novelty in literature, in order to …
and Holt Winters methods to the air transportation industry, a novelty in literature, in order to …
A multi-pattern deep fusion model for short-term bus passenger flow forecasting
Short-term passenger flow forecasting is one of the crucial components in transportation
systems with data support for transportation planning and management. For forecasting bus …
systems with data support for transportation planning and management. For forecasting bus …
Solar power output forecasting using evolutionary seasonal decomposition least-square support vector regression
Renewable power output is an important factor in scheduling and for improving balanced
area control performance. This investigation develops an evolutionary seasonal …
area control performance. This investigation develops an evolutionary seasonal …
Forecasting air passenger demand with a new hybrid ensemble approach
F Jin, Y Li, S Sun, H Li - Journal of Air Transport Management, 2020 - Elsevier
Analyzing and modeling passenger demand dynamic, which has important implications on
the management and the operation in the entire aviation industry, are deemed to be a tough …
the management and the operation in the entire aviation industry, are deemed to be a tough …