On-demand airport slot management: tree-structured capacity profile and coadapted fire-break setting and slot allocation

C Wang, L Yang, M Hu, Y Wang… - … A: Transport Science, 2024 - Taylor & Francis
We propose an on-demand airport slot management (ODASM) approach to guide slot fire-
break capacity setup and airport slot allocation. The ODASM consists of a tree-structured …

A roadmap toward airport demand and capacity management

A Jacquillat, AR Odoni - Transportation Research Part A: Policy and …, 2018 - Elsevier
This paper synthesizes the major interventions available to manage airport demand and
capacity, the analytical tools that may support the underlying policy, managerial and …

Adaptive algorithm to improve trajectory prediction accuracy of climbing aircraft

DP Thipphavong, CA Schultz, AG Lee… - Journal of Guidance …, 2013 - arc.aiaa.org
Aircraft climb trajectories are difficult to predict, and large errors in these predictions reduce
the potential operational benefits of some advanced concepts in the Next Generation Air …

[PDF][PDF] Information fusion for national airspace system prognostics: A NASA ULI project

Y Liu, K Goebel - Proceedings of the 10th Annual Conference of …, 2018 - scholar.archive.org
ABSTRACT Expanding Prognostics and Health Management (PHM) from an equipment-
centric view to complex large-scale engineering systems is a challenging problem. One …

Endogenous control of service rates in stochastic and dynamic queuing models of airport congestion

A Jacquillat, AR Odoni - Transportation Research Part E: Logistics and …, 2015 - Elsevier
Airport congestion mitigation requires reliable delay estimates. This paper presents an
integrated model of airport congestion that combines a tactical model of capacity utilization …

Defining well clear separation for unmanned aircraft systems operating with noncooperative aircraft

C Chen, MW Edwards, B Gill, S Smearcheck… - AIAA Aviation 2019 …, 2019 - arc.aiaa.org
Detect-and-Avoid (DAA) systems are essential to the safe operations of Unmanned Aircraft
Systems, and have the objectives of mitigating collisions with and remaining Well Clear of …

Prediction of air traffic delays: An agent-based model introducing refined parameter estimation methods

C Wang, M Hu, L Yang, Z Zhao - PLoS One, 2021 - journals.plos.org
We propose an agent-based model for predicting individual flight delays in an entire air
traffic network. In contrast to previous work, more detailed parameter estimation methods …

Algorithms for control of arrival and departure traffic in terminal airspace

H Erzberger, T Nikoleris, RA Paielli… - Proceedings of the …, 2016 - journals.sagepub.com
This paper presents a design approach and basic algorithms for a future system that can
perform aircraft conflict resolution, arrival scheduling and convective weather avoidance with …

[HTML][HTML] Short-term nationwide airport throughput prediction with graph attention recurrent neural network

X Zhu, Y Lin, Y He, KL Tsui, PW Chan… - Frontiers in Artificial …, 2022 - frontiersin.org
With the dynamic air traffic demand and the constrained capacity resources, accurately
predicting airport throughput is essential to ensure the efficiency and resilience of air traffic …

Development of data-driven conflict resolution generator for en-route airspace

K Kim, R Deshmukh, I Hwang - Aerospace Science and Technology, 2021 - Elsevier
Airspace conflict resolution is critical for safe operations of aircraft, becoming more important
with ever-increasing airspace congestion. While there are numerous aircraft's conflict …