Logistics Network Design Of Truck Cooperative Unmanned Vehicle Under The Background Of Network Retail

With the popularization of the Internet,Chinese residents’ consumption habits began to shift from offline to online,and the outbreak of the epidemic in 2020 has accelerated the transformation of residents’ consumption habits.The scale of online shopping users has further increased,promoting the development of China’s online retail industry.However,the rapid development of the network retail industry cannot do without the support of logistics conditions.However,compared with the network retail industry,the development of logistics is relatively backward,unable to meet the rapid growth of the network commodity sales.Under the background of the shortage of human resources,low distribution efficiency and high cost in the logistics industry,it is proposed to integrate the driverless technology in smart logistics into the logistics link.The distribution mode of unmanned vehicles has gone through a period of development,but limited by technical level and policies and regulations,it still takes time for autonomous vehicles to realize independent distribution.Therefore,this thesis puts forward a logistics distribution mode of multiple transportation modes,namely collaborative distribution of unmanned vehicles and trucks,which can be understood as a transition mode to help unmanned vehicles fully realize without scene restrictions.This thesis focuses on the design of trunk truck logistics network and the design of terminal logistics network of driverless truck distribution under the background of network retailing.Aiming at the design of truck dry branch logistics network,this thesis carries out dimensionless processing on the data indexes of regional economic level,infrastructure situation and industry development level of each prefecture-level city in Anhui Province,and then uses SPSS software to conduct principal component analysis on the obtained data to determine the ranking of comprehensive logistics development level of each prefecture-level city.According to the ranking,cities are divided into three types: central node,hub node and non-hub node in the axle-spoke network.In order to better determine the membership relationship of each non-hub node,a gravity model with improved gravity constant G is proposed in this thesis to solve the external attraction and external attraction between cities,and the truck branch line logistics network of each prefecture-level city in Anhui Province is obtained.According to the distribution of demand points,the problems are divided into intensive logistics network and sparse logistics network.The dynamic traveling salesman problem(DTSP)is proposed for the intensive logistics network.In this thesis,a new solution idea is proposed,which divides the problem into two parts,namely clustering problem and traveling salesman problem.The clustering algorithm and enumeration algorithm are combined.The nearest point to the clustering center of the demand point obtained through K-means clustering serves as the distribution point of the truck.Assuming that the truck is stationary at the distribution point when the unmanned vehicle goes to the demand point for distribution,the optimal path is solved based on the clustering and enumeration method.The research finds that the energy consumption of unmanned vehicle collaborative distribution is reduced by more than 50% compared with truck distribution.The SPP-TUV problem of truck-unmanned vehicle serial path planning is proposed for sparse logistics network.It is assumed that when the unmanned vehicle goes to the demand point for distribution,the truck also goes to the next demand point for distribution,and the unmanned vehicle will go to the next demand point of the truck to meet it after the distribution.This thesis proposes a two-stage enumeration method to solve the problem.It is found that compared with traditional TSP,SPP-TUV has a smaller comprehensive transportation index,and the energy consumption accounts for 75% of the traditional TSP,which can achieve the purpose of reducing cost,energy saving and emission reduction.To sum up,the study of this thesis is helpful to solve the logistics difficulties brought by online retail,help enterprises to establish the design of distribution logistics network,and promote the development of unmanned vehicles in the logistics industry.This thesis finds that the design of logistics network can achieve the purpose of reducing logistics costs,energy saving and emission reduction through case verification,and reasonably plans the design of online retail logistics network under the transportation of trucks and unmanned vehicles.