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This paper presents an order allocation algorithm incorporating dynamic information to improve the allocation plan for drone order delivery. The algorithm utilizes the Hungarian algorithm to obtain an initial allocation plan and adjusts it based on factors such as the distance between new orders and drones, as well as drone idle time. Path-planning algorithms are designed to handle obstacles, represented as circles in the real world. The proposed methods are evaluated using the Zhuoyi simulation platform, and extensive experiments conducted in three scenarios demonstrate their superior performance compared to the two baseline approaches.

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A Lightweight UAV Delivering Order Method Based on Dynamic Environmental Information

  • 会议论文

  • 发表日期：

    2025年

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  • Yifan Gu,
  • Chenhua Peng,
  • Jianxin Zhou,
  • Lei Mo,
  • Chaoqun Yang,
  • Heng Zhang

摘要

This paper presents an order allocation algorithm incorporating dynamic information to improve the allocation plan for drone order delivery. The algorithm utilizes the Hungarian algorithm to obtain an initial allocation plan and adjusts it based on factors such as the distance between new orders and drones, as well as drone idle time. Path-planning algorithms are designed to handle obstacles, represented as circles in the real world. The proposed methods are evaluated using the Zhuoyi simulation platform, and extensive experiments conducted in three scenarios demonstrate their superior performance compared to the two baseline approaches.