Research on the Design and Sustainable Evaluation of Metro-Based Underground Logistics System

Along with the development of underground space and increasing maturity automation technology, a new type transport supply system called "Underground Logistics System (ULS)" is gradually gaining attention in various countries as an effective means solving problem urban traffic congestion. However, high cost risk construction are main factors that have led to ULS remaining theoretical stage for time being. Therefore, paper aims design solution implementing metro-based logistics (M-ULS). Firstly, uses K-mean clustering algorithm genetic path planning conventional ground transportation M-ULS. Secondly, article retrofitting site combines metro simulates nodes help AnyLogic simulation software. Finally, explores economic environmental value M-ULS terms carbon emissions, costs, fuel pollution costs. The research provides alleviate congestion, reduce promote sustainable development.