A review of demand forecasting models and methodological developments within tourism and passenger transportation industry
Purpose The purpose of this paper is to review the current literature in the field of tourism
demand forecasting. Design/methodology/approach Published papers in the high quality …
demand forecasting. Design/methodology/approach Published papers in the high quality …
Prediction of rural travel demand by spatial regression and artificial neural network methods (Tabriz County)
M Aghayari Hir, M Zaheri, N Rahimzadeh - Journal of transportation …, 2023 - safetylit.org
Understanding of the current travel pattern is necessary for identifying and analyzing traffic
problems, the movement of people and for developing travel forecasting and prediction …
problems, the movement of people and for developing travel forecasting and prediction …
Air cargo transport demand forecasting using ConvLSTM2D, an artificial neural network architecture approach
JGM Anguita, OD Olariaga - Case Studies on Transport Policy, 2023 - Elsevier
The prediction of air traffic demand (passengers and cargo) in a regional/national air
transport system is essential. Knowing the behavior of future demand helps, on the one …
transport system is essential. Knowing the behavior of future demand helps, on the one …
The influence of service quality on user's perceived satisfaction with light rail transit service in Klang Valley, Malaysia
Light rail transit (LRT) systems are vital aspects of the worldwide endeavor to achieve
transport sustainability and have been essential in enhancing the economies of urban …
transport sustainability and have been essential in enhancing the economies of urban …
Evaluation of the impact of Covid-19 on air traffic volume in Turkish airspace using artificial neural networks and time series
N Gultekin, S Acik Kemaloglu - Scientific reports, 2023 - nature.com
In early 2020, the aviation sector was one of the business lines adversely affected by the
Covid 19 outbreak that affected the whole world. As a result, some countries imposed travel …
Covid 19 outbreak that affected the whole world. As a result, some countries imposed travel …
Air traffic demand forecasting with a bayesian structural time series approach
Y Rodríguez, OD Olariaga - Periodica Polytechnica Transportation …, 2024 - pp.bme.hu
Airport planning, and therefore the development of air infrastructure, depends to a large
extent on the demand forecast for the future. To plan investments in the infrastructure of an …
extent on the demand forecast for the future. To plan investments in the infrastructure of an …
Hybrid feedforward ANN with NLS-based regression curve fitting for US air traffic forecasting
F Saâdaoui, H Saadaoui, H Rabbouch - Neural Computing and …, 2020 - Springer
Due to the rapid growth of the number of passengers over the few recent decades, air traffic
forecasting has become a crucial tool for digital transportation systems, playing a …
forecasting has become a crucial tool for digital transportation systems, playing a …
Machine learning for air transport planning and management
View Video Presentation: https://doi. org/10.2514/6.2022-3706. vid In this work we compare
the performance of several machine learning algorithms applied to the problem of modelling …
the performance of several machine learning algorithms applied to the problem of modelling …
Issues and solutions in air-traffic infrastructure and flow management for sustainable aviation growth: A literature review
The demand for air transportation has continuously increased over the past few decades
and is expected to grow at 2% per annum over the next 20 years. However, airspace is …
and is expected to grow at 2% per annum over the next 20 years. However, airspace is …
Forecasting the international air passengers of Iran using an artificial neural network
F Nourzadeh, S Ebrahimnejad… - … of Industrial and …, 2020 - inderscienceonline.com
Forecasting passenger demand is generally viewed as the most crucial function of airline
management. In order to organise the air passengers entering Iran, in this study, the number …
management. In order to organise the air passengers entering Iran, in this study, the number …