Node classification of urban underground logistics system

Abstract

With the development of artificial intelligence and internet of things technology, an underground logistics system will gradually become one of the novel ideas to alleviate urban traffic problems. Such a system consists of underground logistics nodes, but their classification is a key problem in the planning of an underground logistics network. On the basis of the analysis of the demand and supply characteristics of underground logistics, the underground logistics node determination model for multi-objective planning was established for logistics in which the nodes were graded and solved by CPLEX. Finally, this paper verified the rationality and validity of the model, method, and algorithm through the calculation analysis of samples. Thus, this work provides some theoretical support for the classification of urban underground logistics nodes.