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Dynamic UAM Flight Plan Management: A Pre-flight Conflict Resolution Method with Rolling Horizon Optimization

https://doi.org/10.2139/ssrn.6850158
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Multi-Objective Simulated Annealing for Efficient Task Allocation in UAV-Assisted Edge Computing for Smart City Traffic Management
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Evolutionary Optimization-based Mission Planning for UAS Traffic Management (UTM)
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DL-DRL: A Double-Level Deep Reinforcement Learning Approach for Large-Scale Task Scheduling of Multi-UAV
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An Adaptive Airspace Model for Quadcopters in Urban Air Mobility
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Incorporating Optimization in Strategic Conflict Resolution for UAS Traffic Management
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Integrated Conflict Management for UAM With Strategic Demand Capacity Balancing and Learning-Based Tactical Deconfliction
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Rolling Horizon Demand Capacity Balancing in UAM: Integrating Machine Learning for Conflict Resolution
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Low-Noise Route and Operations Planning for Food Delivery Unmanned Aerial Vehicles
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Optimization of Flight Scheduling in Urban Air Mobility Considering Spatiotemporal Uncertainties
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Towards Resilient UAV Swarms—A Breakdown of Resiliency Requirements in UAV Swarms
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A Tactical Conflict Resolution Proposal for U-Space Zu Airspace Volumes
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A dynamic airspace grid map based on 3D subdivision framework
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