Research on Random Source Points Aggregation Method of Urban Logistics Based on Hierarchical Clustering

机译：基于分层聚类的城市物流随机源点聚集方法研究

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Aiming at the characteristics of multi-category, distribution, multi-single quantity and randomness of delivery orders in the city, this paper proposes a simplified method based on hierarchical clustering for random destinations of urban logistics. The points are clustered to form a cluster family according to a set threshold, and the clustering result is approximated as a single source point. It simplifies the randomness of urban logistics orders and lays a foundation for the optimal matching of orders and vehicles based on single-source point-based urban logistics sharing and distribution.

机译：旨在在城市中提供多类，分布，多单数量和随机性的特点，本文提出了一种基于分层聚类的简化方法，从而进行城市物流随机目的地。这些点被聚集以形成根据设定阈值的群集系列，并且聚类结果近似为单个源点。它简化了城市物流订单的随机性，并根据单源点的城市物流共享和分配为订单和车辆的最佳匹配奠定基础。

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《IEEE International Conference on Computer and Communications》|2018年|1 v.|共5页
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DeJun Chen; Rong Huang;
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正文语种
中图分类计算技术、计算机技术;
关键词
Logistics; Clustering algorithms; Urban areas; Loading; Biological system modeling; Transportation; Approximation algorithms;

机译：物流;聚类算法;城市地区;装载;生物系统建模;运输;近似算法;

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Research on Random Source Points Aggregation Method of Urban Logistics Based on Hierarchical Clustering

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