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 …
A cyber-physical social system for autonomous drone trajectory planning in last-mile superchilling delivery
Logistics drones are theoretically advantageous in automating last-mile delivery activities,
but practically challenging in urban environments, including public concerns about risk of …
but practically challenging in urban environments, including public concerns about risk of …
Wind dynamic and energy-efficiency path planning for unmanned aerial vehicles in the lower-level airspace and urban air mobility context
Unmanned aerial vehicles (UAVs) have been extensively used in urban environments for
logistics, parcel delivery and surveillance, and the development of air taxi services. Given …
logistics, parcel delivery and surveillance, and the development of air taxi services. Given …
Fundamental challenge and solution methods in prescriptive analytics for freight transportation
Prescriptive analytics, in which some parameters are predicted using statistical or machine
learning models and then input into an optimization model, is often used to prescribe …
learning models and then input into an optimization model, is often used to prescribe …
[HTML][HTML] Robust optimisation for vertiport location problem considering travel mode choice behaviour in urban air mobility systems
With the rapid development of novel vehicle technologies, air taxis are becoming a new
transport servicing model to achieve better urban air mobility (UAM) systems. The UAM …
transport servicing model to achieve better urban air mobility (UAM) systems. The UAM …
A framework to develop urban aerial networks by using a digital twin approach
M Brunelli, CC Ditta, MN Postorino - Drones, 2022 - mdpi.com
The new concept of Urban Air Mobility (UAM) and the emergent unmanned aerial vehicles
are receiving more and more attention by several stakeholders for implementing new …
are receiving more and more attention by several stakeholders for implementing new …
[HTML][HTML] Airline competition: A comprehensive review of recent research
In recent decades, airline competition has received tremendous interest inside the research
community, given the competition's potentially extensive impacts on passengers …
community, given the competition's potentially extensive impacts on passengers …
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 …
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 …
On a fair and risk‐averse urban air mobility resource allocation problem under demand and capacity uncertainties
Urban air mobility (UAM) is an emerging air transportation mode to alleviate the ground
traffic burden and achieve zero direct aviation emissions. Due to the potential economic …
traffic burden and achieve zero direct aviation emissions. Due to the potential economic …