Research on Optimization of Urban Underground Logistics Network Based on MCMF Model
Underground logistics systems(ULS)transport goods through underground pipelines or tunnels,which can help solve new urban traffic congestion and environmental pollution with low cost and high efficiency.This article is based on the MCMF model and studies network route optimization from two stages.In the first stage,based on actual freight volume and graph theory knowledge,logistics route planning between primary nodes is determined.The second stage aims to achieve low-cost clearance of goods between underground nodes and channels,as well as low-cost underground logistics network routes.A minimum cost maximum flow model is established to optimize the route and obtain the minimum cost for achieving goods transportation.And taking Xianlin District,Nanjing City as an example,the feasibility of this model in solving and optimizing the underground logistics system network was verified.The results showed that through two-stage network route optimization,it can not only ensure the maximization of distribution efficiency but also minimize transportation costs.
urban underground logisticsnetwork optimizationintelligence logisticsminimum cost maximum flow(MCMF)
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