Node Location and Route Optimization of a Two-layer Underground Logistics Network

With increasing logistics demand and congested surface traffic, underground logistics transportation system has gradually become a forward-looking research and trend. Based on regional center location and logistics demand of logistics parks and regions in an area, this paper builds an underground two-layer logistics system model. Considering constraints such as daily freight volume and service radius of each logistics node, the daily total cost of underground logistics system is minimized. Logistics nodes are selected by K-means and branch and bound method, and network routes are optimized by shortest path method and genetic algorithm. Based on the example data, the node composition, node location and connection route between nodes of the underground logistics network are given.