卡车与无人车联合配送模式下物流调度优化研究  

Research on Logistics Scheduling Optimization under the Joint Delivery Mode of Trucks and Unmanned Vehicles

作　　者：于世杰 Yu Shijie(Zhejiang Sci-Tech University,Hangzhou Zhejiang 310018)

机构地区：[1]浙江理工大学,浙江杭州310018

出　　处：《对外经贸》2025年第2期115-120,共6页FOREIGN ECONOMIC RELATIONS & TRADE

摘　　要：在智慧物流浪潮推动下,无人车联合卡车配送等新模式正在悄然兴起,这种模式解决了传统的物流调度成本较高、效率低等问题。针对“卡车与无人车”联合配送模式的研究影响因素,考虑无人车续航约束和载荷限制,构建三阶段求解算法。目标是最大限度地降低无人车的交付成本,构建无人车在续航约束和负载约束的路径优化问题模型,并进行求解。编程采用Python实现,不同规模算例的仿真结果表明:该模型具有显著的成本优化和节能降耗的能力。Driven by the wave of smart logistics,new models such as unmanned vehicles combined with truck delivery are quietly emerging,which have changed many problems such as high logistics scheduling costs and low efficiency,in traditional logistics.A three-stage solving algorithm was constructed for the research on the influencing factors of the "truck and unmanned vehicle" joint delivery mode,taking into account the constraints of unmanned vehicle range and load.The goal is to minimize the delivery cost of unmanned vehicles,construct a path optimization problem model for unmanned vehicles under range and load constraints,and solve it.The programming is implemented in Python,and simulation results of different scale examples show that the model has significant cost optimization and energy-saving capabilities.

关 键 词：联合配送 无人车 路径优化 三阶段算法 

分 类 号：U492[交通运输工程—交通运输规划与管理]