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基于K-均值算法的地下物流系统网络的构建

作  者:
项汉桢
单  位:
上海理工大学
关键词:
物流运输;拥堵系数;优化模型;K-均值算法
摘  要:
以地下货物运输节点设置以及货运地下线路规划为主要研究对象,综合考虑现有车辆运载能力以及南京市仙林地区目前的交通货运状况,建立了可有效缓解地上交通运行压力,同时可获得最低物流成本的多目标优化模型K-均值模型算法。根据各个区域不同的路面拥堵系数,建立合适的地下物流系统,通过设立地下货物运输的一二级节点,达到缓解交通的目的。
译  名:
Construction of Underground Logistics Network Based on K-means Algorithm
作  者:
Xiang Hanzhen;University of Shanghai for Science and Technology;
关键词:
logistics transportation;;congestion coefficient;;optimizing model;;K-mean algorithm
摘  要:
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.

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