| 注册
首页|期刊导航|交通运输研究|农村物流"货车-公交-无人机"联合配送路径规划方法

农村物流"货车-公交-无人机"联合配送路径规划方法

马冰山 江云剑 苏銮 陈刚

交通运输研究2026,Vol.12Issue(1):80-90,11.
交通运输研究2026,Vol.12Issue(1):80-90,11.DOI:10.16503/j.cnki.2095-9931.2026.01.008

农村物流"货车-公交-无人机"联合配送路径规划方法

Route Planning Approach for"Truck-Bus-Drone"Integrated Delivery in Rural Logistics

马冰山 1江云剑 1苏銮 1陈刚1

作者信息

  • 1. 浙江省交通运输科学研究院,浙江 杭州 310005
  • 折叠

摘要

Abstract

To address the persistent challenges of low delivery efficiency and high operating costs in rural logistics,a collaborative delivery model integrating trucks,buses,and drones was proposed.First,a mixed-integer programming model was formulated to minimize total delivery costs,incorporating key components such as truck transportation and dispatching expenses,drone transportation and takeoff/landing costs,and bus network sharing fees.This model was based on considering the differences in customer demand attributes and the collaborative mechanisms among various delivery vehicles.Next,an adaptive large neighborhood search algorithm was designed to solve the model,introducing a destruction-repair combined neighborhood structure optimized for multi-vehicle coordination.Instance simulation results demonstrated that the proposed model effectively optimized joint delivery routes for trucks,buses,and drones,with the algorithm exhibiting superior stability and accuracy compared to CPLEX solver results.Further validation through a real-world case study in Weiping Town,Zhejiang Province,revealed that the integrated three-network delivery model achieved a 49.7%reduction in operating costs compared to traditional truck-only delivery.The model also outperformed"truck+bus"and"truck+drone"dual-mode collaboration by 7.6%and 41.9%reduction in operating costs,respectively.Specifically,two scheduled rural bus routes efficiently covered five remote village-level logistics nodes,while the deployment of drones met the time-sensitive demands.The proposed"truck-bus-drone"collaborative path planning framework not only provides an innovative solution to the"last-mile"dilemma in rural logistics but also offers methodological insights for multi-modal logistics network optimization.

关键词

农村物流/联合配送/路径规划/公交带货/无人机配送/自适应大邻域搜索算法

Key words

rural logistics/collaborative delivery/route planning/bus freight transportation/drone delivery/adaptive large neighborhood search algorithm

分类

交通工程

引用本文复制引用

马冰山,江云剑,苏銮,陈刚..农村物流"货车-公交-无人机"联合配送路径规划方法[J].交通运输研究,2026,12(1):80-90,11.

基金项目

浙江省软科学研究计划项目(2025C35043) (2025C35043)

交通运输研究

1002-4786

访问量0
|
下载量0
段落导航相关论文