Research On Unmanned Logistics Distribution System For Campus Environment

Nowadays,online shopping has been integrated into the daily lives of our residents.At the same time,the number of college students in our country is also expanding,which have formed the main group of online shopping.Therefore,the express delivery business in college campuses has also developed rapidly,with the popularity of online shopping.However,some problems inevitably exist in express delivery business.In addition,the existing logistics distribution mode in colleges cannot meet the services needs of document delivery and book loan,which belong to the short-distance logistics and distribution.In order to deal with the problems in campus logistics distribution,this thesis proposes a solution,and simultaneously design a complete campus unmanned logistics distribution system.The main research work of this thesis is as follows:(1)The vehicle path problem related to logistics and distribution is studied in this thesis.The description and solution algorithms of SDVRP(Split Delivery Vehicle Routing Problem,SDVRP)are firstly given.Finally,a novel solution is proposed to solve the campus logistics distribution problem.(2)The clustering problem of logistics order is analyzed and studied in this thesis,and a clustering model of campus logistics orders is established.In addition,the clustering algorithms are studied,among of which the K-means++ algorithm is adopted and designed to solve the clustering model in this current thesis.Subsequently,the distribution problem of logistics orders is learned,and the order distribution model is built.The binning algorithms are studied,and the descending optimal adaptation algorithm is used and designed to solve the order distribution model.Finally,the order clustering and allocation experiments are conducted to obtain the solution result of the built model.(3)Based on the experimental results of order clustering and dispatching,the path planning problem of unmanned logistics vehicles is also learned and analyzed in this thesis.The mathematical model of above path planning problem is developed.To reduce the difficulty of solution,the complex SDVRP problem is transformed into the TSP(Travelling Salesman Problem,TSP)problem of a single unmanned logistics vehicle.The ant colony algorithm is then studied to solve the TSP problem.Finally,an improved MMAS(Min Max Ant System,MMAS)algorithm is adopted to compute the planned route of the logistics vehicle model.(4)The design strategies of the campus logistics distribution system are learned and analyzed,focusing on the characteristics and existing problems of the campus distribution environment.In addition,the comparative analysis is conducted to analyze its advantages and disadvantages with existing logistics distribution modes.A novel unmanned campus logistics distribution system is designed,including the data layer,application layer,and service layer.At the same time,the overall service flow of this system is designed in detail,as well as the service flow of pickup and shipping.Finally,some functions of the designed system are implemented and tested.