Solving Last-Mile Logistics Problem in Spatiotemporal Crowdsourcing via Role Awareness With Adaptive Clustering

Last-mile logistics is a crucial phase of online commodity trades. In last-mile logistics, one of the critical problems is to reasonably assign couriers to distribute the products in time in order to ensure the quality of service, especially for fresh produce. The last-mile assignment problem (LMAP)...

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Vydané v:	IEEE transactions on computational social systems Ročník 8; číslo 3; s. 668 - 681
Hlavní autori:	Huang, Baoying, Zhu, Haibin, Liu, Dongning, Wu, Naiqi, Qiao, Yan, Jiang, Qian
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 01.06.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Adaptive collaboration Clustering Collaboration Crowdsourcing group role assignment (GRA) IBM ILOG CPLEX optimization (CPLEX) package Insulation k-means++ method last-mile logistics Logistics Operations research Optimization Quality of service role-based collaboration (RBC) spatiotemporal crowdsourcing Spatiotemporal phenomena Task analysis
ISSN:	2329-924X, 2373-7476
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