Discovering trip patterns from incomplete passenger trajectories for inter-zonal bus line planning

Zhaoyang Wang; Beihong Jin; Fusang Zhang; Ruiyang Yang; Qiang Ji

doi:10.1007/978-3-319-47099-3_13

Discovering trip patterns from incomplete passenger trajectories for inter-zonal bus line planning

Zhaoyang Wang^*
, Beihong Jin
, Fusang Zhang
, Ruiyang Yang
, Qiang Ji

^*此作品的通讯作者

CAS - Institute of Software
University of Chinese Academy of Sciences

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

2 引用（Scopus）

摘要

Collecting the trajectories occurring in the city and mining the patterns implied in the trajectories can support the ITS (Intelligent Transportation System) applications and foster the development of smart cities. For improving the operations of inter-zonal buses in the cities, we define a new trip pattern, i.e., frequent bus passenger trip patterns for bus lines (FBPT4BL patterns in short). We utilize the passenger trajectories from bus smart card data and propose a two-phase approach to mine FBPT4BL patterns and then recommend interzonal bus lines. We conduct extensive experiments on the real data from the Beijing Public Transport Group. By comparing the experimental results with the actual operation of inter-zonal buses at the Beijing Public Transport Group, we verify the validity of our proposed method.

源语言	英语
主期刊名	Network and Parallel Computing - 13th IFIP WG 10.3 International Conference, NPC 2016, Proceedings
编辑	Xinbo Gao, Barbara Chapman, Depei Qian, Wenguang Chen, Guang R. Gao
出版商	Springer Verlag
页	160-171
页数	12
ISBN（印刷版）	9783319470986
DOI	https://doi.org/10.1007/978-3-319-47099-3_13
出版状态	已出版 - 2016
已对外发布	是
活动	13th IFIP WG 10.3 International Conference on Network and Parallel Computing, NPC 2016 - Xi’an, 中国期限: 28 10月 2016 → 29 10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	9966 LNCS
ISSN（印刷版）	0302-9743
ISSN（电子版）	1611-3349

会议

会议	13th IFIP WG 10.3 International Conference on Network and Parallel Computing, NPC 2016
国家/地区	中国
市	Xi’an
时期	28/10/16 → 29/10/16

联合国可持续发展目标

此成果有助于实现下列可持续发展目标：

可持续发展目标 11 可持续城市和社区

访问文件

10.1007/978-3-319-47099-3_13

其它文件与链接

链接到 Scopus 的出版物

引用此

Wang, Z., Jin, B., Zhang, F., Yang, R., & Ji, Q. (2016). Discovering trip patterns from incomplete passenger trajectories for inter-zonal bus line planning. 在 X. Gao, B. Chapman, D. Qian, W. Chen, & G. R. Gao (编辑), Network and Parallel Computing - 13th IFIP WG 10.3 International Conference, NPC 2016, Proceedings (页码 160-171). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 卷 9966 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-47099-3_13

Wang, Zhaoyang ; Jin, Beihong ; Zhang, Fusang 等. / Discovering trip patterns from incomplete passenger trajectories for inter-zonal bus line planning. Network and Parallel Computing - 13th IFIP WG 10.3 International Conference, NPC 2016, Proceedings. 编辑 / Xinbo Gao ; Barbara Chapman ; Depei Qian ; Wenguang Chen ; Guang R. Gao. Springer Verlag, 2016. 页码 160-171 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{96aa596335aa4eba8632e87a4aa90a56,

title = "Discovering trip patterns from incomplete passenger trajectories for inter-zonal bus line planning",

abstract = "Collecting the trajectories occurring in the city and mining the patterns implied in the trajectories can support the ITS (Intelligent Transportation System) applications and foster the development of smart cities. For improving the operations of inter-zonal buses in the cities, we define a new trip pattern, i.e., frequent bus passenger trip patterns for bus lines (FBPT4BL patterns in short). We utilize the passenger trajectories from bus smart card data and propose a two-phase approach to mine FBPT4BL patterns and then recommend interzonal bus lines. We conduct extensive experiments on the real data from the Beijing Public Transport Group. By comparing the experimental results with the actual operation of inter-zonal buses at the Beijing Public Transport Group, we verify the validity of our proposed method.",

author = "Zhaoyang Wang and Beihong Jin and Fusang Zhang and Ruiyang Yang and Qiang Ji",

note = "Publisher Copyright: {\textcopyright} IFIP International Federation for Information Processing 2016.; 13th IFIP WG 10.3 International Conference on Network and Parallel Computing, NPC 2016 ; Conference date: 28-10-2016 Through 29-10-2016",

year = "2016",

doi = "10.1007/978-3-319-47099-3\_13",

language = "英语",

isbn = "9783319470986",

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

publisher = "Springer Verlag",

pages = "160--171",

editor = "Xinbo Gao and Barbara Chapman and Depei Qian and Wenguang Chen and Gao, \{Guang R.\}",

booktitle = "Network and Parallel Computing - 13th IFIP WG 10.3 International Conference, NPC 2016, Proceedings",

address = "德国",

}

Wang, Z, Jin, B, Zhang, F, Yang, R & Ji, Q 2016, Discovering trip patterns from incomplete passenger trajectories for inter-zonal bus line planning. 在 X Gao, B Chapman, D Qian, W Chen & GR Gao (编辑), Network and Parallel Computing - 13th IFIP WG 10.3 International Conference, NPC 2016, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 卷 9966 LNCS, Springer Verlag, 页码 160-171, 13th IFIP WG 10.3 International Conference on Network and Parallel Computing, NPC 2016, Xi’an, 中国, 28/10/16. https://doi.org/10.1007/978-3-319-47099-3_13

Discovering trip patterns from incomplete passenger trajectories for inter-zonal bus line planning. / Wang, Zhaoyang; Jin, Beihong; Zhang, Fusang 等.
Network and Parallel Computing - 13th IFIP WG 10.3 International Conference, NPC 2016, Proceedings. 编辑 / Xinbo Gao; Barbara Chapman; Depei Qian; Wenguang Chen; Guang R. Gao. Springer Verlag, 2016. 页码 160-171 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 卷 9966 LNCS).

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 trip patterns from incomplete passenger trajectories for inter-zonal bus line planning

AU - Wang, Zhaoyang

AU - Jin, Beihong

AU - Zhang, Fusang

AU - Yang, Ruiyang

AU - Ji, Qiang

N1 - Publisher Copyright: © IFIP International Federation for Information Processing 2016.

PY - 2016

Y1 - 2016

N2 - Collecting the trajectories occurring in the city and mining the patterns implied in the trajectories can support the ITS (Intelligent Transportation System) applications and foster the development of smart cities. For improving the operations of inter-zonal buses in the cities, we define a new trip pattern, i.e., frequent bus passenger trip patterns for bus lines (FBPT4BL patterns in short). We utilize the passenger trajectories from bus smart card data and propose a two-phase approach to mine FBPT4BL patterns and then recommend interzonal bus lines. We conduct extensive experiments on the real data from the Beijing Public Transport Group. By comparing the experimental results with the actual operation of inter-zonal buses at the Beijing Public Transport Group, we verify the validity of our proposed method.

AB - Collecting the trajectories occurring in the city and mining the patterns implied in the trajectories can support the ITS (Intelligent Transportation System) applications and foster the development of smart cities. For improving the operations of inter-zonal buses in the cities, we define a new trip pattern, i.e., frequent bus passenger trip patterns for bus lines (FBPT4BL patterns in short). We utilize the passenger trajectories from bus smart card data and propose a two-phase approach to mine FBPT4BL patterns and then recommend interzonal bus lines. We conduct extensive experiments on the real data from the Beijing Public Transport Group. By comparing the experimental results with the actual operation of inter-zonal buses at the Beijing Public Transport Group, we verify the validity of our proposed method.

UR - https://www.scopus.com/pages/publications/84994521830

U2 - 10.1007/978-3-319-47099-3_13

DO - 10.1007/978-3-319-47099-3_13

M3 - 会议稿件

AN - SCOPUS:84994521830

SN - 9783319470986

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

SP - 160

EP - 171

BT - Network and Parallel Computing - 13th IFIP WG 10.3 International Conference, NPC 2016, Proceedings

A2 - Gao, Xinbo

A2 - Chapman, Barbara

A2 - Qian, Depei

A2 - Chen, Wenguang

A2 - Gao, Guang R.

PB - Springer Verlag

T2 - 13th IFIP WG 10.3 International Conference on Network and Parallel Computing, NPC 2016

Y2 - 28 October 2016 through 29 October 2016

ER -

Wang Z, Jin B, Zhang F, Yang R, Ji Q. Discovering trip patterns from incomplete passenger trajectories for inter-zonal bus line planning. 在 Gao X, Chapman B, Qian D, Chen W, Gao GR, 编辑, Network and Parallel Computing - 13th IFIP WG 10.3 International Conference, NPC 2016, Proceedings. Springer Verlag. 2016. 页码 160-171. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-47099-3_13

Discovering trip patterns from incomplete passenger trajectories for inter-zonal bus line planning

摘要

出版系列

会议

联合国可持续发展目标

访问文件

其它文件与链接

指纹

引用此