Adaptive conflict resolution for multi-UAV 4D routes optimization using stochastic fractal search algorithm

B Pang, KH Low, C Lv - Transportation Research Part C: Emerging …, 2022 - Elsevier
The increasing unmanned aircraft system (UAS) applications in urban environments pose
challenges for safe and efficient low altitude air traffic management. As an essential enabler …

A novel multi-ship collision probability estimation method considering data-driven quantification of trajectory uncertainty

M Wang, Y Wang, E Cui, X Fu - Ocean Engineering, 2023 - Elsevier
The collision risk prediction is crucial for the safety management of maritime transportation.
Previous studies have primarily focused on the near-miss collision risk of two ships, yet the …

Stochastic conformal anomaly detection and resolution for air traffic control

HC Choi, C Deng, H Park, I Hwang - Transportation Research Part C …, 2023 - Elsevier
Safety is of the utmost importance in the air traffic system. In recent years, data-driven
algorithms have emerged to identify anomalous and potentially unsafe operations based on …

Real-time 4D trajectory planning method for civil aircraft with high security in congested, stochastic, and dynamic airspace environment

J Zhou, H Zhang, Q Xue, Y Li - Expert Systems with Applications, 2025 - Elsevier
Abstract Four-dimensional (4-D) trajectory planning with conflict-free for a large-scale
number of aircraft under meteorological influence is an essential problem in air traffic control …

Chance-constrained UAM traffic flow optimization with fast disruption recovery under uncertain waypoint occupancy time

B Pang, KH Low, VN Duong - Transportation Research Part C: Emerging …, 2024 - Elsevier
Trajectory-based operations offer a promising solution for effective urban air mobility (UAM)
traffic management with conflict-free four-dimensional trajectories. However, these …

A probabilistic approach to mid-term conflict detection with accuracy estimate

S Seyedipour, H Nobahari, M Prandini - Journal of the Franklin Institute, 2022 - Elsevier
This paper describes an approach to mid-term probabilistic conflict detection between two
aircraft flying at the same altitude. The key distinguishing feature of the proposed method is …

Benefit of wind networking for aircraft arrival scheduling in terminal manoeuvring area

W Liu, D Delahaye, Q Zhao, P Notry - Computers & Industrial Engineering, 2023 - Elsevier
The effectiveness of air traffic management depends on the amount of obtained information
and the accuracy of prediction, leading to a reduction in uncertainty disturbances, and an …

基于合作博弈的多机冲突解脱算法

张宏宏, 甘旭升, 辛建霖, 刘一群… - 北京航空航天大学学报, 2022 - bhxb.buaa.edu.cn
为解决低空无人机冲突解脱过程中个体支付成本不公平问题, 提出了基于合作博弈“核仁解”
概念的多机冲突解脱算法. 针对低空多机冲突场景的特点, 基于“核仁解” 概念 …

Data-driven probabilistic methodology for aircraft conflict detection under wind uncertainty

J de la Mota, M Cerezo-Magaña… - … on Aerospace and …, 2023 - ieeexplore.ieee.org
Assuming the availability of a reliable aircraft trajectory planner, this article presents a
probabilistic methodology to detect conflicts between aircraft in the cruise phase of flight in …

[HTML][HTML] To delay or not to delay? A hybrid relationship between departure delay, en-route conflict probability, and number of conflicts

A Chandra, A Verma - Journal of the Air Transport Research Society, 2025 - Elsevier
The existence of a hybrid relationship connecting departure delay and resulting en-route
conflicts remains a significant gap in the air transportation literature. This paper aims to …