Journal on CommunicationsVol. 38, Issue Z2, Pages: 99-112(2017)
作者机构:
中南大学信息科学与工程学院,湖南 长沙 410083
作者简介:
基金信息:
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)
Kun-fang ZHANG, Ming-ming LU, Lin ZHENG. Big data based metro crowd delivery system[J]. Journal on Communications, 2017, 38(Z2): 99-112.
DOI:
Kun-fang ZHANG, Ming-ming LU, Lin ZHENG. Big data based metro crowd delivery system[J]. Journal on Communications, 2017, 38(Z2): 99-112. DOI: 10.11959/j.issn.1000-436x.2017256.
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.
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references
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