Planning UAV Trajectory for Multi-Commodity Package Pickup and Delivery

The use of UAVs for logistics services has become a highly regarded application in recent years. This paper studies the package pickup and delivery problem with multi-commodity and multi-visits. Due to the limited load, the UAV has to operate within the load limit when performing package delivery services. In addition, we allow the UAV to visit a location multiple times during the mission. Our objective is to minimize the total flying distance of the UAV. Since the problem is NP-hard, we propose a two-phase heuristic algorithm to solve this problem. First, the trajectory of the UAV to pick up or deliver packages is constructed using a greedy algorithm. Second, we optimize the previously built trajectory to obtain a shorter flying distance for the UAV. The simulation results show that the proposed algorithm outperforms the baselines regarding total flight distance and execution time.

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Publication Details

Published
2025-03-24
DOI
https://doi.org/10.1109/wcnc61545.2025.10978696
Primary Topic
Advanced Manufacturing and Logistics Optimization
Type
article
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article

Planning UAV Trajectory for Multi-Commodity Package Pickup and Delivery

Jagadeesha R. Bhat, Jang‐Ping Sheu, Yi-Fu Chen
Advanced Manufacturing and Logistics Optimization
article

Planning UAV Trajectory for Multi-Commodity Package Pickup and Delivery

Jagadeesha R. Bhat, Jang‐Ping Sheu, Yi-Fu Chen
article en

Abstract

The use of UAVs for logistics services has become a highly regarded application in recent years. This paper studies the package pickup and delivery problem with multi-commodity and multi-visits. Due to the limited load, the UAV has to operate within the load limit when performing package delivery services. In addition, we allow the UAV to visit a location multiple times during the mission. Our objective is to minimize the total flying distance of the UAV. Since the problem is NP-hard, we propose a two-phase heuristic algorithm to solve this problem. First, the trajectory of the UAV to pick up or deliver packages is constructed using a greedy algorithm. Second, we optimize the previously built trajectory to obtain a shorter flying distance for the UAV. The simulation results show that the proposed algorithm outperforms the baselines regarding total flight distance and execution time.

National Tsing Hua University (TW), Indian Institute of Information Technology Allahabad (IN), Indian Institute of Technology Dharwad (IN), Indian Institute of Information Technology Dharwad
Decent work and economic growth
Openalex Percentile: Top 87%
Advanced Manufacturing and Logistics Optimization
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