Discovering underground roads from trajectories without road network

Qiuge Song; Jiali Mao; Cheqing Jin

doi:10.1007/978-3-319-39937-9_11

Discovering underground roads from trajectories without road network

Qiuge Song
, Jiali Mao
, Cheqing Jin^*

^*此作品的通讯作者

数据科学与工程学院

East China Normal University

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

1 引用（Scopus）

摘要

With the wide application of GPS-enabled electronic devices, huge amounts of positional information data have been accumulated, so that it’s critical to discover inherent knowledge from such massive data. In this paper, we address this topic by proposing two issues, including how to discover the underpasses for pedestrians to cross the roads, and how to discover the tunnels providing passageways for vehicles. Subsequently, we propose a three-step framework to deal with the issues, including an incremental clustering phase, a sub-trajectory detecting phase and a cluster filtering phase. Experiments upon real-life data sets demonstrate the effectiveness and efficiency of the proposed framework.

源语言	英语
主期刊名	Web-Age Information Management - 17th International Conference, WAIM 2016, Proceedings
编辑	Jianliang Xu, Nan Zhang, Dexi Liu, Bin Cui, Xiang Lian
出版商	Springer Verlag
页	137-150
页数	14
ISBN（印刷版）	9783319399362
DOI	https://doi.org/10.1007/978-3-319-39937-9_11
出版状态	已出版 - 2016
活动	17th International Conference on Web-Age Information Management, WAIM 2016 - Nanchang, 中国期限: 3 6月 2016 → 5 6月 2016

出版系列

姓名	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
卷	9658
ISSN（印刷版）	0302-9743
ISSN（电子版）	1611-3349

会议

会议	17th International Conference on Web-Age Information Management, WAIM 2016
国家/地区	中国
市	Nanchang
时期	3/06/16 → 5/06/16

访问文件

10.1007/978-3-319-39937-9_11

其它文件与链接

链接到 Scopus 的出版物

引用此

Song, Q., Mao, J., & Jin, C. (2016). Discovering underground roads from trajectories without road network. 在 J. Xu, N. Zhang, D. Liu, B. Cui, & X. Lian (编辑), Web-Age Information Management - 17th International Conference, WAIM 2016, Proceedings (页码 137-150). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 卷 9658). Springer Verlag. https://doi.org/10.1007/978-3-319-39937-9_11

Song, Qiuge ; Mao, Jiali ; Jin, Cheqing. / Discovering underground roads from trajectories without road network. Web-Age Information Management - 17th International Conference, WAIM 2016, Proceedings. 编辑 / Jianliang Xu ; Nan Zhang ; Dexi Liu ; Bin Cui ; Xiang Lian. Springer Verlag, 2016. 页码 137-150 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{a745f71a33a34a1b80c1884156b84ba6,

title = "Discovering underground roads from trajectories without road network",

abstract = "With the wide application of GPS-enabled electronic devices, huge amounts of positional information data have been accumulated, so that it{\textquoteright}s critical to discover inherent knowledge from such massive data. In this paper, we address this topic by proposing two issues, including how to discover the underpasses for pedestrians to cross the roads, and how to discover the tunnels providing passageways for vehicles. Subsequently, we propose a three-step framework to deal with the issues, including an incremental clustering phase, a sub-trajectory detecting phase and a cluster filtering phase. Experiments upon real-life data sets demonstrate the effectiveness and efficiency of the proposed framework.",

author = "Qiuge Song and Jiali Mao and Cheqing Jin",

note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2016.; 17th International Conference on Web-Age Information Management, WAIM 2016 ; Conference date: 03-06-2016 Through 05-06-2016",

year = "2016",

doi = "10.1007/978-3-319-39937-9\_11",

language = "英语",

isbn = "9783319399362",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

pages = "137--150",

editor = "Jianliang Xu and Nan Zhang and Dexi Liu and Bin Cui and Xiang Lian",

booktitle = "Web-Age Information Management - 17th International Conference, WAIM 2016, Proceedings",

address = "德国",

}

Song, Q, Mao, J & Jin, C 2016, Discovering underground roads from trajectories without road network. 在 J Xu, N Zhang, D Liu, B Cui & X Lian (编辑), Web-Age Information Management - 17th International Conference, WAIM 2016, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 卷 9658, Springer Verlag, 页码 137-150, 17th International Conference on Web-Age Information Management, WAIM 2016, Nanchang, 中国, 3/06/16. https://doi.org/10.1007/978-3-319-39937-9_11

Discovering underground roads from trajectories without road network. / Song, Qiuge; Mao, Jiali ; Jin, Cheqing.
Web-Age Information Management - 17th International Conference, WAIM 2016, Proceedings. 编辑 / Jianliang Xu; Nan Zhang; Dexi Liu; Bin Cui; Xiang Lian. Springer Verlag, 2016. 页码 137-150 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 卷 9658).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

T1 - Discovering underground roads from trajectories without road network

AU - Song, Qiuge

AU - Mao, Jiali

AU - Jin, Cheqing

N1 - Publisher Copyright: © Springer International Publishing Switzerland 2016.

PY - 2016

Y1 - 2016

N2 - With the wide application of GPS-enabled electronic devices, huge amounts of positional information data have been accumulated, so that it’s critical to discover inherent knowledge from such massive data. In this paper, we address this topic by proposing two issues, including how to discover the underpasses for pedestrians to cross the roads, and how to discover the tunnels providing passageways for vehicles. Subsequently, we propose a three-step framework to deal with the issues, including an incremental clustering phase, a sub-trajectory detecting phase and a cluster filtering phase. Experiments upon real-life data sets demonstrate the effectiveness and efficiency of the proposed framework.

AB - With the wide application of GPS-enabled electronic devices, huge amounts of positional information data have been accumulated, so that it’s critical to discover inherent knowledge from such massive data. In this paper, we address this topic by proposing two issues, including how to discover the underpasses for pedestrians to cross the roads, and how to discover the tunnels providing passageways for vehicles. Subsequently, we propose a three-step framework to deal with the issues, including an incremental clustering phase, a sub-trajectory detecting phase and a cluster filtering phase. Experiments upon real-life data sets demonstrate the effectiveness and efficiency of the proposed framework.

UR - https://www.scopus.com/pages/publications/84976635968

U2 - 10.1007/978-3-319-39937-9_11

DO - 10.1007/978-3-319-39937-9_11

M3 - 会议稿件

AN - SCOPUS:84976635968

SN - 9783319399362

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 137

EP - 150

BT - Web-Age Information Management - 17th International Conference, WAIM 2016, Proceedings

A2 - Xu, Jianliang

A2 - Zhang, Nan

A2 - Liu, Dexi

A2 - Cui, Bin

A2 - Lian, Xiang

PB - Springer Verlag

T2 - 17th International Conference on Web-Age Information Management, WAIM 2016

Y2 - 3 June 2016 through 5 June 2016

ER -

Song Q, Mao J , Jin C. Discovering underground roads from trajectories without road network. 在 Xu J, Zhang N, Liu D, Cui B, Lian X, 编辑, Web-Age Information Management - 17th International Conference, WAIM 2016, Proceedings. Springer Verlag. 2016. 页码 137-150. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-39937-9_11

Discovering underground roads from trajectories without road network

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