大数据驱动的地铁众包快递系统

doi:10.11959/j.issn.1000-436x.2017256

通信学报 ›› 2017, Vol. 38 ›› Issue (Z2): 99-112.doi: 10.11959/j.issn.1000-436x.2017256

大数据驱动的地铁众包快递系统

张坤芳,鲁鸣鸣,郑林

中南大学信息科学与工程学院，湖南长沙 410083

出版日期:2017-11-01 发布日期:2018-06-07
作者简介:张坤芳（1994-），女，河南三门峡人，中南大学硕士生，主要研究方向为物联网、大数据、深度学习。|鲁鸣鸣（1978-），男，湖南长沙人，中南大学副教授，主要研究方向为大数据分析、深度学习、群智感知。|郑林（1992-），男，江西赣州人，中南大学硕士生，主要研究方向为物联网、大数据。
基金资助:
国家自然科学基金资助项目(61232001);国家自然科学基金资助项目(61173169);国家自然科学基金资助项目(91646115);国家自然科学基金资助项目(60903222);湖南省自然科学基金资助项目(2016JJ2149);湖南省战略性新兴产业重大科技攻关项目基金资助项目(2012GK4054)

Big data based metro crowd delivery system

Kun-fang ZHANG,Ming-ming LU,Lin ZHENG

School of Information Science and Engineering,Central South University,Changsha 410083,China

Online:2017-11-01 Published:2018-06-07
Supported by:
The National Natural Science Foundation of China(61232001);The National Natural Science Foundation of China(61173169);The National Natural Science Foundation of China(91646115);The National Natural Science Foundation of China(60903222);The Natural Science Foundation of Hunan Province(2016JJ2149);Major Science ＆ Technology Research Program for Strategic Emerging Industry of Hunan(2012GK4054)

摘要/Abstract

摘要：

近年来，同城快递的需求增多，涌现出一些提供1 h或3 h送达的快递公司，如闪送等。然而，其服务质量缺乏量化分析，常常会出现全职/兼职快递员不接单或接单后没有按时投递的情况。为此，提出了一种地铁众包快递系统，能够基于地铁乘客出行历史记录分析快递服务质量，并提供分时段的快递差异化服务。该系统既满足时延要求较高的快递需求，又可作为同城范围快递的补充。同时，提出快递中转方案。实验证明此中转方案是高效的。

关键词: 地铁, 众包, 快递, 大数据

Abstract:

In recent years,the demand for urban express delivery experiences fast growing.Several startup delivery corporations,such as iShansong,have provided the delivery services,which are promised to deliver a parcel within 1 or 3 hours in a city.However,since the quality of the promised services have not been fully quantitatively analyzed based on real data,it is quite often that couriers refuse to pick up delivery requests or the accepted parcels fail to be delivered on time.To address the above issue,a metro crowd-delivery system was proposed,which could utilize the historical records of metro passengers to analyze the quality of the delivery service and provide differential service within different period of time.The system not only meet the requirements of high delay requirements of the courier,but also as a city-wide express supplement.At the same time,a courier transit program was proposed.Experiments show that this transfer program is efficient.

Key words: subway, crowd sourced, express delivery, big data

中图分类号:

TP39

张坤芳,鲁鸣鸣,郑林. 大数据驱动的地铁众包快递系统[J]. 通信学报, 2017, 38(Z2): 99-112.

Kun-fang ZHANG,Ming-ming LU,Lin ZHENG. Big data based metro crowd delivery system[J]. Journal on Communications, 2017, 38(Z2): 99-112.

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时间段	传递路径
07:00:00 08:00:00	国权路南京东路高青路
15:00:00 17:30:00	国权路陆家嘴高青路
17:30:00 19:00:00	国权路南京东路高青路

大数据驱动的地铁众包快递系统

Big data based metro crowd delivery system

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