[HTML][HTML] Urban Aviation: The Future Aerospace Transportation System for Intercity and Intracity Mobility

G Wild - Urban Science, 2024 - mdpi.com
This review discusses the challenges of integrating emerging transportation technologies
into existing urban environments, considering their impact on equity, sustainability, and …

[HTML][HTML] The role of intelligent technology in the development of urban air mobility systems: A technical perspective

Y Liu, C Lyu, F Bai, O Parishwad, Y Li - Fundamental Research, 2023 - Elsevier
Abstract Urban Air Mobility (UAM) is an emerging transportation system that aims at
revolutionizing urban mobility through the deployment of small electric vertical takeoff and …

Noise-aware and equitable urban air traffic management: An optimization approach

Z Gao, Y Yu, Q Wei, U Topcu, JP Clarke - Transportation Research Part C …, 2024 - Elsevier
Urban air mobility (UAM), a transformative concept for the transport of passengers and
cargo, faces several integration challenges in complex urban environments. Community …

A quasi-dynamic air traffic assignment model for mitigating air traffic complexity and congestion for high-density UAM operations

Z Wang, D Delahaye, JL Farges, S Alam - Transportation Research Part C …, 2023 - Elsevier
In spite of the significant effects of COVID-19, UAM operations are still expected to grow
smoothly and healthily in the near future. If such dense UAM traffic relies on tactical planning …

Complexity optimal air traffic assignment in multi-layer transport network for Urban Air Mobility operations

Z Wang, D Delahaye, JL Farges, S Alam - Transportation Research Part C …, 2022 - Elsevier
Abstract Large numbers of Urban Air Mobility (UAM) vehicles are expected to operate in
urban airspace in the near future, exceeding the capacities of current airspace and Air Traffic …

Research on evtol air route network planning based on improved a* algorithm

M Ye, J Zhao, Q Guan, X Zhang - Sustainability, 2024 - mdpi.com
With the continuous opening of low-altitude airspace and the development of aircraft such as
electric vertical takeoff and landing (eVTOL) vehicles, urban air traffic has become a …

Weapon–target assignment by reinforcement learning with pointer network

H Na, J Ahn, IC Moon - Journal of Aerospace Information Systems, 2023 - arc.aiaa.org
RESOURCE allocation has been a fundamental challenge in the control society [1, 2], and
such resource allocation appears as many forms in different domains, such as multi-agent …

A multi-objective memetic algorithm with adaptive local search for airspace complexity mitigation

B Li, T Guo, Y Mei, Y Li, J Chen, Y Zhang… - Swarm and Evolutionary …, 2023 - Elsevier
Airspace complexity is a paramount safety metric to measure the difficulty and effort required
to safely manage air traffic. The continuing growth in air traffic demand results in increasing …

FCM-GCN-based upstream and downstream dependence model for air traffic flow networks

Y Zhang, Z Lu, J Wang, L Chen - Knowledge-Based Systems, 2023 - Elsevier
The upstream and downstream dependence of air traffic flow networks (ATFN) is a key step
in identifying the changing characteristics and interaction patterns of air traffic flow. This …

[HTML][HTML] Deep learning architecture for UAV traffic-density prediction

A Alharbi, I Petrunin, D Panagiotakopoulos - Drones, 2023 - mdpi.com
The research community has paid great attention to the prediction of air traffic flows.
Nonetheless, research examining the prediction of air traffic patterns for unmanned aircraft …