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[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 …
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
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 …
revolutionizing urban mobility through the deployment of small electric vertical takeoff and …
Noise-aware and equitable urban air traffic management: An optimization approach
Urban air mobility (UAM), a transformative concept for the transport of passengers and
cargo, faces several integration challenges in complex urban environments. Community …
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
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 …
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
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 …
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 …
electric vertical takeoff and landing (eVTOL) vehicles, urban air traffic has become a …
Weapon–target assignment by reinforcement learning with pointer network
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 …
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
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 …
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 …
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 …
Nonetheless, research examining the prediction of air traffic patterns for unmanned aircraft …