[HTML][HTML] Machine learning and mixed reality for smart aviation: Applications and challenges

Y Jiang, TH Tran, L Williams - Journal of Air Transport Management, 2023 - Elsevier
The aviation industry is a dynamic and ever-evolving sector. As technology advances and
becomes more sophisticated, the aviation industry must keep up with the changing trends …

Artificial Intelligence potential within airlines: a review on how AI can enhance strategic decision-making in times of COVID-19

D Pérez-Campuzano, PM Ortega, LR Andrada… - Journal of Airline and …, 2021 - jairm.org
Purpose: Airline strategy relies on the competitive environment analysis and the
management of resources. Artificial Intelligence (AI) algorithms are being increasingly …

AI-driven assistants for education and research? A case study on ChatGPT for air transport management

S Wandelt, X Sun, A Zhang - Journal of Air Transport Management, 2023 - Elsevier
Artificial Intelligence is in the process to transform various parts of the aviation industry, from
the reduction of delays and increasing fuel efficiency to better demand prediction models …

Multi-layer perceptron based transfer passenger flow prediction in Istanbul transportation system

A Utku, SK Kaya - Decision Making: Applications in …, 2022 - dmame-journal.org
Estimating passenger movement in transportation networks is a critical aspect of public
transportation systems. It allows for a greater understanding of traffic patterns, as well as …

A comprehensive analysis of clustering public utility bus passenger's behavior during the COVID-19 pandemic: Utilization of Machine Learning with metaheuristic …

MML Cahigas, FE Zulvia, AKS Ong, YT Prasetyo - Sustainability, 2023 - mdpi.com
Public utility bus (PUB) systems and passenger behaviors drastically changed during the
COVID-19 pandemic. This study assessed the clustered behavior of 505 PUB passengers …

Prediction of the spatiotemporal passenger distribution of a large airport terminal and its impact on energy simulation

X Gu, J Xie, C Huang, K Ma, J Liu - Sustainable Cities and Society, 2022 - Elsevier
As the essential infrastructure and one of the transportation centers, most cities now have
more than one airport. Mass constructions of sustainable airports play an important role for …

[HTML][HTML] Visualizing the historical COVID-19 shock in the US airline industry: A Data Mining approach for dynamic market surveillance

D Pérez-Campuzano, LR Andrada, PM Ortega… - Journal of Air Transport …, 2022 - Elsevier
One of the purposes of Artificial Intelligence tools is to ease the analysis of large amounts of
data. In order to support the strategic decision-making process of the airlines, this paper …

Dimensioning the Optimal Number of Parallel Service Desks in the Passenger Handling Process at Airports Considered as a Queueing System—Case Study

E Jenčová, P Koščák, M Koščáková - Aerospace, 2023 - mdpi.com
Queueing theory is currently a widely used method for optimizing activities not only in air
transport but also in other sectors, in both production and the use of personnel. Using this …

Analysis of the GI/M/c queue with N-threshold policy

FP Barbhuiya, N Kumar, UC Gupta - Quality Technology & …, 2022 - Taylor & Francis
We consider an infinite buffer queueing system consisting of multiple number of identical
servers and a common queue. The customers' arrival into the system follows renewal …

Modelling and assessment of the arrival and departure process at the terminal area: A case study of Chennai international airport

A Chandra, A Verma, KP Sooraj, R Padhi - Physica A: Statistical Mechanics …, 2023 - Elsevier
Airport and terminal area traffic congestion is a growing concern of the air traffic
management (ATM) system. A major step towards mitigating the impacts of congestion is …