客货邮融合的公交-无人机协同运输OA

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.