Congestion-Aware Multi-Drone Delivery Routing Framework

Article Engineering, Civil

Decentralized Multi-Agent Path Finding for UAV Traffic Management

Florence Ho et al.

Summary: The development of a real-world UTM system for the safe integration of UAVs in low altitude airspace has presented novel challenges. This study explores pre-flight conflict detection and resolution methods where independent UASSPs communicate with each other to resolve conflicts among their UAV operations. The proposed decentralized approach improves fairness between UASSPs compared to the traditional prioritization approach.

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2022)

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Article Engineering, Electrical & Electronic

Energy-Efficient Online Path Planning of Multiple Drones Using Reinforcement Learning

Dooyoung Hong et al.

Summary: The proposed Advanced TD3 model performs energy-efficient path planning on drones by modifying the twin-delayed deep deterministic policy gradient (TD3) model and training it through Offline RL. This allows drones to select an energy-efficient path without the overhead of real-time RL model training.

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2021)

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Article Computer Science, Artificial Intelligence

Efficient Large-Scale Multi-Drone Delivery using Transit Networks

Shushman Choudhury et al.

JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH (2021)

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Article Engineering, Civil

Reliable Path Planning for Drone Delivery Using a Stochastic Time-Dependent Public Transportation Network

Hailong Huang et al.

Summary: The paper proposes an alternative delivery system based on a public transportation network, which can expand the delivery range. A label setting algorithm is developed to construct reliable drone paths for the reliable drone path planning problem, considering the limited battery lifetime of drones as a constraint in the optimization model.

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2021)

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Article Computer Science, Theory & Methods