大数据驱动的地铁众包快递系统

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

Abstract

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

CLC Number:

TP39

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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References 15

[1]	MA S , ZHENG Y , WOLFSON O . Real-time city-scale taxi ridesharing[J]. IEEE Transactions on Knowledge ＆ Data Engineering, 2015,27(7): 1782-1795.
[2]	ZHANG D , LI Y , ZHANG F ,et al. CoRide:carpool service with a win-win fare model for large-scale taxicab networks[C]// ACM Conference on Embedded Networked Sensor Systems. 2013: 1-14.
[3]	MA S , ZHENG Y , WOLFSON O . T-share:a large-scale dynamic taxi ridesharing service[C]// IEEE International Conference on Data Engineerin. 2013: 410-421.
[4]	CHEN L , ZHANG D , PAN G ,et al. Bike sharing station placement leveraging heterogeneous urban open data[C]// ACM International Joint Conference on Pervasive and Ubiquitous Computing. 2015: 571-575.
[5]	YANG Z , HU J , SHU Y ,et al. Mobility modeling and prediction in bike-sharing systems[C]// The International Conference. 2016.
[6]	LI Y , ZHENG Y , ZHANG H ,et al. Traffic prediction in a bike-sharing system[C]// Sigspatial International Conference on Advances in Geographic Information Systems. 2015.
[7]	ZHANG D , JIANG R , WANG S ,et al. EveryoneCounts:data-driven digital advertising with uncertain demand model in metro networks[C]// IEEE International Conference on Big Data. 2015: 898-907.
[8]	ZHANG D , HUANG J , Li Y ,et al. Exploring human mobility with multi-source data at extremely large metropolitan scales[C]// International Conference on Mobile Computing and Networking. 2014: 201-212.
[9]	ZHANG S , QIN L , ZHENG Y ,et al. Effective and efficient:large-scale dynamic city express[C]// Sigspatial International Conference on Advances in Geographic Information Systems. 2015.
[10]	JEONG J , GUO S , GU Y ,et al. TBD:trajectory-based data forwarding for light-traffic vehicular networks[C]// International Conference on Mobile Computing ＆ Networking. 2009: 231-238.
[11]	ZHANG L , YU B , PAN J . GeoMobCon:a mobility-contact-aware geocast scheme for urban VANETs[J]. IEEE Transactions on Vehicular Technology, 2015:1.
[12]	BURLEIGH S , HOOKE A , TORGERSON L ,et al. Delay-tolerant networking:an approach to interplanetary Internet[J]. IEEE Communications Magazine, 2003,41(6): 128-136.
[13]	CASTEIGTS A , FLOCCHINI P , QUATTROCIOCCHI W ,et al. Time-varying graphs and dynamic networks[J]. International Journal of Parallel Emergent ＆ Distributed Systems, 2010,27(5): 346-359.
[14]	MULLANGI R P . Efficient reachability analysis for evolving graph structured data[D]. Georgia,USA:University of Georgia, 2015.
[15]	BBUI XUAN , A FERREIRA , A JARRY . Computing shortest,fastest,and foremost journeys in dynamic networks[J]. International Journal of Foundations of Computer Science, 2011,14(2).

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Big data based metro crowd delivery system

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