[HTML][HTML] Automated sequencing and merging with dynamic aircraft arrival routes and speed management for continuous descent operations

R Sáez, T Polishchuk, C Schmidt, H Hardell… - … Research Part C …, 2021 - Elsevier
In this paper, we present a novel methodology to manage arrival traffic in terminal airspace.
We define two areas around the airport, aiming to efficiently schedule incoming traffic. A four …

Machine learning-enhanced aircraft landing scheduling under uncertainties

Y Pang, P Zhao, J Hu, Y Liu - Transportation Research Part C: Emerging …, 2024 - Elsevier
Aircraft delays lead to safety concerns and financial losses, which can propagate for several
hours during extreme scenarios. Developing an efficient landing scheduling method is one …

Exploration of optimal control based surrogate modeling as a basis for fuel efficient 4D aircraft routing on graphs

F Schweighofer, B Grüter, F Holzapfel - CEAS Aeronautical Journal, 2024 - Springer
Fuel efficient coordination of aircraft operations in the Terminal Maneuvering Area of large
airports can contribute to the reduction of the environmental impact of air traffic. To exploit …

Artificial Intelligence-Enhanced Predictive Modeling in Air Traffic Management

Y Pang - 2023 - search.proquest.com
Abstract National Airspace Systems (NAS) are complex cyber-physical systems that require
swift air traffic management (ATM) to ensure flight safety and efficiency. With the surging …