Research And System Implementation Of Urban Crowdsourcing Distribution Service Scheduling Method

With the development of mobile shopping and e-commerce,the number of online shopping is increasing,which brings greater challenges to the delivery of logistics terminals.In view of low utilization rate,poor controllability and poor flexibility problems in terminal distribution,many logistics companies have begun to change from traditional distribution mode to crowdsourcing mode.Crowdsourcing mode of terminal distribution uses advanced network technology to integrate idle human resources and meet terminal distribution requirements to provide better services for users.Therefore,in urban crowdsourcing distribution services,the rational scheduling of crowdsourcing tasks and distribution resources is a key factor affecting the distribution efficiency.For this reason,this paper studies and implements the urban crowdsourcing distribution service scheduling methods,provides better scheduling methods for crowdsourcing tasks and distribution resources,improves distribution efficiency,and promotes the rapid development of the crowdsourcing logistics industry,including the following aspects:Firstly,the express delivery service model based on crowdsourcing mode is built,including crowdsourcing mode of express delivery service mode,express delivery business model and resource management model.Analyze the main functional and non-functional requirements of the participants in crowdsourcing,clarify the relationship between roles and main functions in the system,and explain the key business processes.Secondly,aiming at the inaccurate research of urban crowdsourcing resource matching,this paper proposes the urban crowdsourcing resource matching model and solving methods,define the concept of urban crowdsourcing resource matching,analyze the attribute characteristics of crowdsourcing tasks and distribution resources,then construct the urban crowdsourcing resource matching model.The real data provided by “Dianwoda Company” is processed,and the feature classification algorithms such as Neural Network,SVM and Naive Bayes are used to solve the problem.Finally,the results of resource matching experiment are compared and analyzed.Thirdly,aiming at the problem of urban crowdsourcing distribution service scheduling,this paper proposes a crowdsourcing distribution service scheduling method based on graph search.The task assignment problem based on road network is mapped to the task assignment problem based on graph structure.The task assignment model of the maximum quantity assignment is constructed.A crowdsourcing task assignment algorithm based on task location and a crowdsourcing task assignment algorithm based on ant colony programming are proposed according to path planning.The simulation experimental data is generated,the experiments are designed and the algorithm results are compared and analyzed.Finally,based on the above analysis and design,the architecture,function modules and database of the urban crowdsourcing distribution service dispatching system are designed,the urban crowdsourcing distribution service dispatching system is implemented,and the function verification and scheduling algorithm test are completed.