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Chance-constrained UAM traffic flow optimization with fast disruption recovery under uncertain waypoint occupancy time
Trajectory-based operations offer a promising solution for effective urban air mobility (UAM)
traffic management with conflict-free four-dimensional trajectories. However, these …
traffic management with conflict-free four-dimensional trajectories. However, these …
Safety assured online guidance with airborne separation for urban air mobility operations in uncertain environments
The concept of Urban Air Mobility (UAM) proposes to use revolutionary new electrical
vertical takeoff and landing (eVTOL) aircraft to provide efficient and on-demand air …
vertical takeoff and landing (eVTOL) aircraft to provide efficient and on-demand air …
Data-driven probabilistic trajectory learning with high temporal resolution in terminal airspace
J **ang, J Chen - arxiv preprint arxiv:2409.17359, 2024 - arxiv.org
Predicting flight trajectories is a research area that holds significant merit. In this paper, we
propose a data-driven learning framework, that leverages the predictive and feature …
propose a data-driven learning framework, that leverages the predictive and feature …
Landing trajectory prediction for uas based on generative adversarial network
View Video Presentation: https://doi. org/10.2514/6.2023-0127. vid Models for trajectory
prediction are an essential component of many advanced air mobility studies. These models …
prediction are an essential component of many advanced air mobility studies. These models …
[HTML][HTML] The exploration and practice of low-altitude airspace flight service and traffic management in China
X Guan, H Shi, D Xu, B Zhang, J Wei, J Chen - Green Energy and …, 2024 - Elsevier
Due to the inherent nature of being highly digitalized, networked and intelligent, Unmanned
Aerial System (UAS) operations pose a huge challenge to traditional aviation regulation and …
Aerial System (UAS) operations pose a huge challenge to traditional aviation regulation and …
Efficient box approximation for data-driven probabilistic geofencing
Advanced Air Mobility (AAM) using electrical vertical take-off and landing (eVTOL) aircraft is
an emerging way of air transportation within metropolitan areas. A key challenge for the …
an emerging way of air transportation within metropolitan areas. A key challenge for the …
Data-driven zonotopic approximation for n-dimensional probabilistic geofencing
Advanced air mobility is a promising way of metropolitan air transportation. One critical
concern that arises is how to ensure operational safety in high-dense, dynamic, and …
concern that arises is how to ensure operational safety in high-dense, dynamic, and …
Stochastic route optimization under dynamic ground risk uncertainties for safe drone delivery operations
The rise of unmanned aircraft systems (UAS) for urban drone delivery introduces significant
risks, particularly the potential for crash-induced fatalities on the ground. A crucial strategy to …
risks, particularly the potential for crash-induced fatalities on the ground. A crucial strategy to …
[PDF][PDF] Urban air mobility: Review and challenges
J Chen - IEEE Intelligent Transportation Systems Magazine, 2024 - qmro.qmul.ac.uk
Yumeng Li1, Tong Guo1, Jun Chen1, Jianjun Wu1, Yu Zhang1, Sameer Alam1, Kaiquan Cai1,
and Wenbo Du1 1Affiliation not available N Page 1 P osted on 14 No v 2024 — CC-BY 4.0 — h …
and Wenbo Du1 1Affiliation not available N Page 1 P osted on 14 No v 2024 — CC-BY 4.0 — h …
A smart landing platform with data-driven analytic procedures for UAV preflight safety diagnosis
Due to the limitation imposed by hardware and form factor considerations, multirotor
unmanned aircraft (drones) are unable to conduct preflight physical checks on their own …
unmanned aircraft (drones) are unable to conduct preflight physical checks on their own …