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QTime: A Queuing-Time Notification System Based on Participatory Sensing Data

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

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QTime: A Queuing-Time Notification System Based on Participatory Sensing Data. / Wang, Yasha; Wang, Jiangtao; Zhang, Xiaoyu.
2013 IEEE 37th Annual Computer Software and Applications Conference. IEEE, 2013. p. 770-777.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

Harvard

Wang, Y, Wang, J & Zhang, X 2013, QTime: A Queuing-Time Notification System Based on Participatory Sensing Data. in 2013 IEEE 37th Annual Computer Software and Applications Conference. IEEE, pp. 770-777. https://doi.org/10.1109/COMPSAC.2013.127

APA

Wang, Y., Wang, J., & Zhang, X. (2013). QTime: A Queuing-Time Notification System Based on Participatory Sensing Data. In 2013 IEEE 37th Annual Computer Software and Applications Conference (pp. 770-777). IEEE. https://doi.org/10.1109/COMPSAC.2013.127

Vancouver

Wang Y, Wang J, Zhang X. QTime: A Queuing-Time Notification System Based on Participatory Sensing Data. In 2013 IEEE 37th Annual Computer Software and Applications Conference. IEEE. 2013. p. 770-777 doi: 10.1109/COMPSAC.2013.127

Author

Wang, Yasha ; Wang, Jiangtao ; Zhang, Xiaoyu. / QTime : A Queuing-Time Notification System Based on Participatory Sensing Data. 2013 IEEE 37th Annual Computer Software and Applications Conference. IEEE, 2013. pp. 770-777

Bibtex

@inproceedings{8468d4f2beb24b799ff13e3bf0023c7f,
title = "QTime: A Queuing-Time Notification System Based on Participatory Sensing Data",
abstract = "People living in big cities often suffer from long queuing time waiting for checking out in supermarkets when the crowd density is high. This paper develops QTime, an application to inform queuing time in nearby supermarkets to help people make time-efficient plan about when and which store to go. QTime uses participatory sensing data collected by commodity sensors built into every-day smartphones without dependence on any pre-installed sensing hardware or software infrastructure. QTime calculates queuing time of an in-store user by detecting his/her queuing movement mode in the phone-side, and estimates the queuing time in given supermarkets by aggregating data from different users in the server-side, and notifies the users who have shopping plans through phones or webpages. Because even in a crowded supermarket, the queuing time of only a few customers can represent the majority, QTime can estimate queuing time accurately even only a few users upload data to the server. An experiment has been conducted and described to prove the validity of QTime.",
keywords = "Pervasive Computing, Participatory Sensing, Mobile System, Queuing Time Estimation",
author = "Yasha Wang and Jiangtao Wang and Xiaoyu Zhang",
year = "2013",
doi = "10.1109/COMPSAC.2013.127",
language = "English",
isbn = "9780769549866",
pages = "770--777",
booktitle = "2013 IEEE 37th Annual Computer Software and Applications Conference",
publisher = "IEEE",

}

RIS

TY - GEN

T1 - QTime

T2 - A Queuing-Time Notification System Based on Participatory Sensing Data

AU - Wang, Yasha

AU - Wang, Jiangtao

AU - Zhang, Xiaoyu

PY - 2013

Y1 - 2013

N2 - People living in big cities often suffer from long queuing time waiting for checking out in supermarkets when the crowd density is high. This paper develops QTime, an application to inform queuing time in nearby supermarkets to help people make time-efficient plan about when and which store to go. QTime uses participatory sensing data collected by commodity sensors built into every-day smartphones without dependence on any pre-installed sensing hardware or software infrastructure. QTime calculates queuing time of an in-store user by detecting his/her queuing movement mode in the phone-side, and estimates the queuing time in given supermarkets by aggregating data from different users in the server-side, and notifies the users who have shopping plans through phones or webpages. Because even in a crowded supermarket, the queuing time of only a few customers can represent the majority, QTime can estimate queuing time accurately even only a few users upload data to the server. An experiment has been conducted and described to prove the validity of QTime.

AB - People living in big cities often suffer from long queuing time waiting for checking out in supermarkets when the crowd density is high. This paper develops QTime, an application to inform queuing time in nearby supermarkets to help people make time-efficient plan about when and which store to go. QTime uses participatory sensing data collected by commodity sensors built into every-day smartphones without dependence on any pre-installed sensing hardware or software infrastructure. QTime calculates queuing time of an in-store user by detecting his/her queuing movement mode in the phone-side, and estimates the queuing time in given supermarkets by aggregating data from different users in the server-side, and notifies the users who have shopping plans through phones or webpages. Because even in a crowded supermarket, the queuing time of only a few customers can represent the majority, QTime can estimate queuing time accurately even only a few users upload data to the server. An experiment has been conducted and described to prove the validity of QTime.

KW - Pervasive Computing

KW - Participatory Sensing

KW - Mobile System

KW - Queuing Time Estimation

U2 - 10.1109/COMPSAC.2013.127

DO - 10.1109/COMPSAC.2013.127

M3 - Conference contribution/Paper

SN - 9780769549866

SP - 770

EP - 777

BT - 2013 IEEE 37th Annual Computer Software and Applications Conference

PB - IEEE

ER -