Prediction and Analysis of Airport Surface Taxi Time: Classification, Features, and Methodology
J Yin, M Zhang, Y Ma, W Wu, H Li, P Chen - Applied Sciences, 2024 - mdpi.com
Airport arrival and departure movements are characterized by high dynamism, stochasticity,
and uncertainty. Therefore, it is of paramount importance to predict and analyze surface taxi …
and uncertainty. Therefore, it is of paramount importance to predict and analyze surface taxi …
A deep reinforcement learning approach for airport departure metering under spatial–temporal airside interactions
Airport taxi delays adversely affect airports and airlines around the world leading to airside
congestion, increased Air Traffic Controllers/Pilot workload, and adverse environmental …
congestion, increased Air Traffic Controllers/Pilot workload, and adverse environmental …
[PDF][PDF] Using deep learning method to predict taxi time of aircraft: A case of Hong Kong airport
N Li, QY Jiao, L Zhang, SC Wang - J. Aeronaut. Astronaut. Aviat, 2020 - researchgate.net
The increasing availability of A-CDM (Airport-Collaborative Decision system) data gives the
opportunity to better understand the airport ground operation. Taxi time, as one of the key …
opportunity to better understand the airport ground operation. Taxi time, as one of the key …
Toward Greener and Sustainable Airside Operations: A Deep Reinforcement Learning Approach to Pushback Rate Control for Mixed-Mode Runways
Airside taxi delays have adverse consequences for airports and airlines globally, leading to
airside congestion, increased Air Traffic Controller/Pilot workloads, missed passenger …
airside congestion, increased Air Traffic Controller/Pilot workloads, missed passenger …
A data-driven prediction model for aircraft taxi time by considering time series about gate and real-time factors
F Wang, J Bi, D Xie, X Zhao - Transportmetrica A: Transport …, 2023 - Taylor & Francis
The prediction of taxi time plays a primary role. To improve the accuracy and portability of
prediction, the Informer-RFR (Informer-Random Forest Regression) model was proposed …
prediction, the Informer-RFR (Informer-Random Forest Regression) model was proposed …
A map-matching algorithm for ground movement trajectory representation using A-SMGCS data
Increasing availability of air traffic data has opened new opportunities for better
understanding of Air Traffic Management (ATM) system. At Airport-Air side, A-SMGCS (Ad …
understanding of Air Traffic Management (ATM) system. At Airport-Air side, A-SMGCS (Ad …
Multi-Task Dynamic Spatio-Temporal Graph Attention Network: A Variable Taxi Time Prediction Model for Airport Surface Operation
X Yang, H Yang, Y Mao, Q Wang, S Yin - Aerospace, 2024 - mdpi.com
Variable taxi time prediction is the core of the Airport Collaborative Decision Making (A-
CDM) system. An accurate taxi time prediction contributes to enhancing airport operational …
CDM) system. An accurate taxi time prediction contributes to enhancing airport operational …
Taxi Time Prediction by Using Data Driven Approach: A New Perspective
QY Jiao, N Li - Available at SSRN 4084964, 2022 - papers.ssrn.com
Taxi time, as one of the key indicators to evaluate the airport operation efficiency, will not
only have a direct impact on the takeoff and landing sequence of the runway, but also affect …
only have a direct impact on the takeoff and landing sequence of the runway, but also affect …
AI-based models for resource allocation and resource demand forecasting systems in aviation: A survey and analytical study
There is an increasing interest in developing Intelligent Decision Support Systems (IDSSs)
for various aviation operations such as resource planning. Recently, with the significant …
for various aviation operations such as resource planning. Recently, with the significant …
Data driven and learning based approaches for integrated landside airside operations optimization
H Ali - 2022 - dr.ntu.edu.sg
Asia has witnessed a meteoric rise in its air traffic in the last decade; leading the region to
experience the fastest air traffic growth, globally. However, air traffic infrastructure has not …
experience the fastest air traffic growth, globally. However, air traffic infrastructure has not …