Air Traffic Management

Follow this topic Ask about this topic

Latest papers 36

2 papers in the last four weeks, down 67% on the four weeks before. 0.0% of all new papers.

All topics

Noncooperative Virtual Queue Coordination via Uncertainty-Aware Correlated Equilibria
Feb 16, 2026Jaehan Im, David Fridovich-Keil, Ufuk TopcuAir Traffic Management Multi-Agent Coordination
Department of Aerospace Engineering, The University of Texas at Austin, Austin, Texas, USA
Probabilistic Multi-Agent Aircraft Landing Time Prediction
Dec 9, 2025Kyungmin Kim, Seokbin Yoon, Keumjin LeeEvent Time Prediction Air Traffic Management
Korea Aerospace University, Goyang, 10540, South Korea
Game-theoretic Regulated Decentralized Coordination for Airspace Sector Overload Mitigation
Nov 14, 2025Jaehan Im, Daniel Delahaye, David Fridovich-Keil +1Multi-Agent Coordination Air Traffic Management
The University of Texas at Austin, 110 Inner Campus Drive, Austin, 78712, Texas, United States · École Nationale de lAviation Civile, 7 Avenue Édouard Belin, CS 54005, Toulouse Cedex 4, 31055, France
LLM4Delay: Flight Delay Prediction via Cross-Modality Adaptation of Large Language Models and Aircraft Trajectory Representation
Oct 24, 2025Thaweerath Phisannupawong, Joshua Julian Damanik, Han-Lim ChoiAir Traffic Management Intelligent Transportation Systems
Department of Aerospace Engineering, Korea Advanced Institute of Science and Technology, Daejeon, 34141, Republic of Korea.
Integrated Noise and Safety Management in UAM via A Unified Reinforcement Learning Framework
Aug 22, 2025Surya Murthy, Zhenyu Gao, John-Paul Clarke +1Multi-Objective Reinforcement Learning Collision Avoidance
Graduate Research Assistant, Oden Institute for Computational Engineering and Sciences, The University of Texas at Austin · Postdoctoral Fellow, Department of Aerospace Engineering and Engineering Mechanics, The University of Texas at Austin · Professor and Ernest Cockrell, Jr. Memorial Chair in Engineering, Department of Aerospace Engineering and Engineering Mechanics, The University of Texas at Austin +1
Learning to Explain Air Traffic Situation
Feb 15, 2025Hong-ah Chai, Seokbin Yoon, Keumjin LeeAir Traffic Management Intelligent Transportation Systems
Department of Air Transport, Transportation and Logistics Korea Aerospace University Goyang, South Korea

Feb 16, 2026J/K move · Enter open · S save

Noncooperative Virtual Queue Coordination via Uncertainty-Aware Correlated Equilibria

Jaehan Im, David Fridovich-Keil, Ufuk Topcu

Department of Aerospace Engineering, The University of Texas at Austin, Austin, Texas, USA

Air Traffic Management Multi-Agent Coordination Game Theory Chance-Constrained Optimization

Open paper AskPDF arXiv

Collaborative virtual queueing has been proposed as a mechanism to mitigate airport surface congestion while preserving airline autonomy over aircraft-level pushback decisions. A central coordinator can regulate aggregate pushback capacity but cannot directly control which specific aircraft are released, limiting its ability to steer system-level performance. We propose a noncooperative coordination mechanism for collaborative virtual queueing based on the correlated equilibrium concept, which enables the coordinator to provide incentive-compatible recommendations on aircraft-level pushback decisions without overriding airline autonomy. To account for uncertainty in airlines' internal cost assessments, we introduce chance constraints into the correlated equilibrium formulation. This formulation provides explicit probabilistic guarantees on incentive compatibility, allowing the coordinator to adjust the confidence level with which airlines are expected to follow the recommended actions. We further propose a scalable algorithm for computing chance-constrained correlated equilibria by exploiting a reduced-rank structure. Numerical experiments demonstrate that the proposed method scales to realistic traffic levels up to 210 eligible pushbacks per hour, reduces accumulated delay by up to approximately 8.9% compared to current first-come-first-served schemes, and reveals a trade-off between confidence level, deviation robustness, and achievable cost efficiency.

Latest papers 36

Noncooperative Virtual Queue Coordination via Uncertainty-Aware Correlated Equilibria

Probabilistic Multi-Agent Aircraft Landing Time Prediction

Game-theoretic Regulated Decentralized Coordination for Airspace Sector Overload Mitigation

LLM4Delay: Flight Delay Prediction via Cross-Modality Adaptation of Large Language Models and Aircraft Trajectory Representation

Integrated Noise and Safety Management in UAM via A Unified Reinforcement Learning Framework

Learning to Explain Air Traffic Situation