Construction of Underground Logistics Network Based on K-means Algorithm
Xiang Hanzhen;University of Shanghai for Science and Technology;
The underground freight node set and freight underground lines planning regarded as the main research object, considering the existing vehicle carrying capacity and the freight transportation situation of Nanjing Xianlin area now, multiobjective optimization models called K-mean algorithm are established, which can effectively alleviate traffic pressure on the ground and get the lowest logistics cost. According to the different road congestion coefficient of different regions, a suitable underground logistics system is established, which can achieve the purpose of alleviating traffic through the establishment of a secondary node of underground freight transportation.
【CateGory Index】： F252