Discovering underpasses from walking trajectories

Qiuge Song; Cheqing Jin; Xiaoling Wang; Ming Gao; Aoying Zhou

doi:10.1109/ICDEW.2015.7129563

Discovering underpasses from walking trajectories

Qiuge Song
, Cheqing Jin^*
, Xiaoling Wang
, Ming Gao
, Aoying Zhou

^*Corresponding author for this work

East China Normal University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Scopus citations

Abstract

With widely applying of the GPS-enabled electronic devices, people can obtain customized services from LBS providers. Meanwhile, their trajectory data is also gathered from day to day. Mining trajectory data to find some interesting knowledge becomes hot in recent years. In this paper, we study how to discover the underpasses in a city by analyzing the walking trajectory database. As the trajectory through the underpass is quite different from that on the ground, we devise a novel solution to deal with this issue. To the best of our knowledge, our work is the first piece of work in this topic. Experiments upon real-life data sets illustrate the effectiveness and efficiency of the proposed method.

Original language	English
Title of host publication	ICDEW 2015 - 2015 IEEE 31st International Conference on Data Engineering Workshops
Publisher	IEEE Computer Society
Pages	129-133
Number of pages	5
ISBN (Electronic)	9781479984411
DOIs	https://doi.org/10.1109/ICDEW.2015.7129563
State	Published - 19 Jun 2015
Event	2015 31st IEEE International Conference on Data Engineering Workshops, ICDEW 2015 - Seoul, Korea, Republic of Duration: 13 Apr 2015 → 17 Apr 2015

Publication series

Name	Proceedings - International Conference on Data Engineering
Volume	2015-June
ISSN (Print)	1084-4627

Conference

Conference	2015 31st IEEE International Conference on Data Engineering Workshops, ICDEW 2015
Country/Territory	Korea, Republic of
City	Seoul
Period	13/04/15 → 17/04/15

Access to Document

10.1109/ICDEW.2015.7129563

Cite this

@inproceedings{25ef76d66a8e4ebf9f4191e6b75f0aaa,

title = "Discovering underpasses from walking trajectories",

abstract = "With widely applying of the GPS-enabled electronic devices, people can obtain customized services from LBS providers. Meanwhile, their trajectory data is also gathered from day to day. Mining trajectory data to find some interesting knowledge becomes hot in recent years. In this paper, we study how to discover the underpasses in a city by analyzing the walking trajectory database. As the trajectory through the underpass is quite different from that on the ground, we devise a novel solution to deal with this issue. To the best of our knowledge, our work is the first piece of work in this topic. Experiments upon real-life data sets illustrate the effectiveness and efficiency of the proposed method.",

author = "Qiuge Song and Cheqing Jin and Xiaoling Wang and Ming Gao and Aoying Zhou",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 2015 31st IEEE International Conference on Data Engineering Workshops, ICDEW 2015 ; Conference date: 13-04-2015 Through 17-04-2015",

year = "2015",

month = jun,

day = "19",

doi = "10.1109/ICDEW.2015.7129563",

language = "英语",

series = "Proceedings - International Conference on Data Engineering",

publisher = "IEEE Computer Society",

pages = "129--133",

booktitle = "ICDEW 2015 - 2015 IEEE 31st International Conference on Data Engineering Workshops",

address = "美国",

}

Song, Q, Jin, C , Wang, X , Gao, M & Zhou, A 2015, Discovering underpasses from walking trajectories. in ICDEW 2015 - 2015 IEEE 31st International Conference on Data Engineering Workshops., 7129563, Proceedings - International Conference on Data Engineering, vol. 2015-June, IEEE Computer Society, pp. 129-133, 2015 31st IEEE International Conference on Data Engineering Workshops, ICDEW 2015, Seoul, Korea, Republic of, 13/04/15. https://doi.org/10.1109/ICDEW.2015.7129563

Discovering underpasses from walking trajectories. / Song, Qiuge; Jin, Cheqing ; Wang, Xiaoling et al.
ICDEW 2015 - 2015 IEEE 31st International Conference on Data Engineering Workshops. IEEE Computer Society, 2015. p. 129-133 7129563 (Proceedings - International Conference on Data Engineering; Vol. 2015-June).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Discovering underpasses from walking trajectories

AU - Song, Qiuge

AU - Jin, Cheqing

AU - Wang, Xiaoling

AU - Gao, Ming

AU - Zhou, Aoying

PY - 2015/6/19

Y1 - 2015/6/19

N2 - With widely applying of the GPS-enabled electronic devices, people can obtain customized services from LBS providers. Meanwhile, their trajectory data is also gathered from day to day. Mining trajectory data to find some interesting knowledge becomes hot in recent years. In this paper, we study how to discover the underpasses in a city by analyzing the walking trajectory database. As the trajectory through the underpass is quite different from that on the ground, we devise a novel solution to deal with this issue. To the best of our knowledge, our work is the first piece of work in this topic. Experiments upon real-life data sets illustrate the effectiveness and efficiency of the proposed method.

AB - With widely applying of the GPS-enabled electronic devices, people can obtain customized services from LBS providers. Meanwhile, their trajectory data is also gathered from day to day. Mining trajectory data to find some interesting knowledge becomes hot in recent years. In this paper, we study how to discover the underpasses in a city by analyzing the walking trajectory database. As the trajectory through the underpass is quite different from that on the ground, we devise a novel solution to deal with this issue. To the best of our knowledge, our work is the first piece of work in this topic. Experiments upon real-life data sets illustrate the effectiveness and efficiency of the proposed method.

UR - https://www.scopus.com/pages/publications/84944322648

U2 - 10.1109/ICDEW.2015.7129563

DO - 10.1109/ICDEW.2015.7129563

M3 - 会议稿件

AN - SCOPUS:84944322648

T3 - Proceedings - International Conference on Data Engineering

SP - 129

EP - 133

BT - ICDEW 2015 - 2015 IEEE 31st International Conference on Data Engineering Workshops

PB - IEEE Computer Society

T2 - 2015 31st IEEE International Conference on Data Engineering Workshops, ICDEW 2015

Y2 - 13 April 2015 through 17 April 2015

ER -

Discovering underpasses from walking trajectories

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