Research On Parallel Distribution Of Rural Logistics Vehicles And Unmanned Aerial Vehicles

In recent years,the rapid economic development in rural areas of China has driven the rapid growth of rural Internet consumption and promoted the development of rural ecommerce.The end of the rural logistics distribution situation and the rapid development of the rural electricity gradually do not match,the rural logistics infrastructure to support the growing demand of rural logistics,and the high cost of rural logistics distribution,at present,how to improve rural logistics distribution mode at the end,make them adapt to the rapid development of the rural Internet economy become a problem needs to solve.In this case,the rise of UAV technology has opened up a new way to solve the rural logistics terminal distribution.The introduction of UAV into rural terminal distribution logistics can effectively improve the logistics distribution network in rural areas,save distribution costs and improve the efficiency of rural logistics distribution.This paper mainly studies the parallel distribution mode of vehicles and DRONES,that is,through the construction of UAV sites,improve the rural end distribution network,the vehicles and rural buses distribute goods to UAV sites,and then determine the distribution mode of customer points according to the maximum load of UAV(vehicles or drones).The research considers UAV related parameters and the optimization of parallel distribution routes between vehicles and UAV in rural public transport.The specific research contents of this paper are as follows:(1)Theoretical analysis.Parallel distribution problem of rural logistics vehicles,unmanned aerial vehicle(UAV)related theory research,including the rural logistics research and rural bus SWOT analysis,the joint distribution model,vehicles and unmanned aerial vehicle(UAV)parallel distribution process and characteristics,path optimization,is discussed in this paper,vehicles and unmanned aerial vehicle(UAV)parallel distribution problem to provide the corresponding theoretical basis and analysis of the possibility of practical application.(2)The UAV site location model is studied and solved for the primary condition of vehicle and UAV parallel distribution.Target,establish logistics cost minimizing customer point average demand,number of drones,to set up the maximum flying range site factors as constraint condition of UAV site location model,and improved immune algorithm design,aiming at the shortcoming of immune algorithm,improve the two-way crossover and mutation operator,has more population diversity,avoid in advance into local optimal solution,In order to effectively select the most suitable UAV site location.(3)The parallel distribution path planning of vehicles and UAVs considering the use of rural public transport is studied.The model is a parallel distribution path planning model for vehicles and UNMANNED aerial vehicles(UAVs)with the objective of achieving the minimum logistics distribution cost and the constraints of UAV load,maximum flight distance,customer soft time window and other factors,and a genetic algorithm is designed to solve the model.(4)Example analysis.Firstly,a small-scale example is used to solve the problem,and the results(distribution cost and delivery time)are compared with traditional vehicle distribution to verify the accuracy and efficiency of the model and algorithm.The feasibility of the model in practical application is verified by medium and large scale examples,and the cost comparison with traditional vehicle distribution is made to analyze the saving effect of the model on logistics distribution cost.The sensitivity analysis of the maximum flight distance,load capacity of UAV and whether to introduce rural public transport in parallel distribution is carried out,and the corresponding relationship between the time and cost of distribution is analyzed.Rural logistics transportation characteristics,this paper,the introduction of rural public transport vehicles and unmanned aerial vehicle(UAV)parallel distribution pattern,establishes unmanned aerial vehicle(UAV)site location model and parallel distribution road vehicles and unmanned aerial vehicle(UAV)programming model,and design the corresponding immune algorithm and genetic algorithm,the validity of the algorithm is proved by an example and analyzes the key factors that affect the outcome.There are 40 figures,10 tables and 45 references.