华南理工大学学报（自然科学版）2026，Vol.54Issue(6)：110-119,10.DOI:10.12141/j.issn.1000-565X.250435
客货邮融合的公交-无人机协同运输
Bus-Drone Collaborative Transportation in An Integrated Passenger-Cargo-Postal System
摘要
Abstract
In response to the national passenger-freight-postal integration strategy and address"last mile delivery"challenges in rural logistics,this paper proposes a demand-responsive bus and drone collaborative transportation scheduling problem for rural passenger-cargo-postal integration.In the context of coexisting multi-origin to multi-destination passenger transportation demands and single-origin to multi-destination freight delivery demands,a mixed-integer linear programming model is built to minimize the total transportation cost including fixed vehicle costs,variable operating costs,and passenger in-vehicle travel time costs.The model considers constraints such as passenger boarding time windows,freight delivery time deadlines,bus capacity limits,and bus-drone coordination.It is designed to make scheduling decisions for the integrated passenger-cargo-postal transportation bus and its on-board drones.Furthermore,Based on an analysis of the problem's characteristics,a more compact mathematical op-timization model is constructed using a more streamlined variable definition approach.Finally,a numerical analy-sis is conducted using Bandong Town,Minqing County,Fujian Province,as a case study.Results show that the com-pact model outperforms the original in both solution speed and quality.Furthermore,impact analyses examine the impacts of of passenger-freight integration,drone coordination,and passenger mid-route boarding and alighting,along with a sensitivity analysis of passenger in-vehicle time coefficients,reveal that the proposed demand-responsive integrated passenger-cargo-postal bus-drone collaborative transportation can complete freight delivery tasks while ensuring passenger ride satisfaction.It also improves transportation efficiency and reduces transporta-tion costs,representing a promising integrated passenger-freight transportation mode.关键词
农村物流/客货邮融合/公交-无人机协同/车辆路径优化Key words
rural logistics/integrated passenger-Cargo-Postal transport/bus-drone collaboration/vehicle rou-ting optimization分类
交通工程引用本文复制引用
陈诚,罗泽龙,徐锦强,祁首铭,黄海南,姜莉..客货邮融合的公交-无人机协同运输[J].华南理工大学学报（自然科学版）,2026,54(6):110-119,10.基金项目
福建省自然科学基金项目(2023J01474) （2023J01474）
福建省社会科学基金项目(FJ2023C038) （FJ2023C038）
福建省交通运输科技计划重点科技项目(ZD202506)Supported by the Natural Science Foundation of Fujian Province(2023J01474),the Philosophy and Social Science Foundation of Fujian Province(FJ2023C038)and the Scientific Research Projects of Fujian Provincial Department of Transportation(ZD202506) （ZD202506）
