Demo Abstract: Walkway Discovery from Large Scale Crowdsensing

Chu Cao; Zhidan Liu; Mo Li; Wenqiang Wang; Zheng Qin

doi:10.1109/IPSN.2018.00037

Demo Abstract: Walkway Discovery from Large Scale Crowdsensing

Chu Cao, Zhidan Liu, Mo Li, Wenqiang Wang, Zheng Qin

Research output: Chapter in Book/Conference Proceeding/Report › Conference Paper published in a book › peer-review

Abstract

Existing digital maps mainly focus on motorways and miss many walkways facilitating people's daily mobility especially for pedestrians. Based on in-depth analysis of massive human mobility trajectories collected from the National Science Experiment (NSE) in Singapore, we propose a system, discovering walkways from the large scale crowdsensing mobility data. In this demo, we show the new-found walkways discovered by our system in Singapore through a custom visualization platform.

Original language	English
Title of host publication	Proceedings - 17th ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	148-149
Number of pages	2
ISBN (Electronic)	9781538652985
DOIs	https://doi.org/10.1109/IPSN.2018.00037
Publication status	Published - 2 Oct 2018
Externally published	Yes
Event	17th ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN 2018 - Porto, Portugal Duration: 11 Apr 2018 → 13 Apr 2018

Publication series

Name	Proceedings - 17th ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN 2018

Conference

Conference	17th ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN 2018
Country/Territory	Portugal
City	Porto
Period	11/04/18 → 13/04/18

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

Keywords

Walkway discovery
auto verification
crowdsensing
mobility trajectory
road maps
walkable area

Access to Document

10.1109/IPSN.2018.00037

Cite this

Cao, C., Liu, Z., Li, M., Wang, W., & Qin, Z. (2018). Demo Abstract: Walkway Discovery from Large Scale Crowdsensing. In Proceedings - 17th ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN 2018 (pp. 148-149). Article 8480060 (Proceedings - 17th ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IPSN.2018.00037

Cao, Chu ; Liu, Zhidan ; Li, Mo et al. / Demo Abstract : Walkway Discovery from Large Scale Crowdsensing. Proceedings - 17th ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN 2018. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 148-149 (Proceedings - 17th ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN 2018).

@inproceedings{b57505880caa4f9c8e3a51495f37b10d,

title = "Demo Abstract: Walkway Discovery from Large Scale Crowdsensing",

abstract = "Existing digital maps mainly focus on motorways and miss many walkways facilitating people's daily mobility especially for pedestrians. Based on in-depth analysis of massive human mobility trajectories collected from the National Science Experiment (NSE) in Singapore, we propose a system, discovering walkways from the large scale crowdsensing mobility data. In this demo, we show the new-found walkways discovered by our system in Singapore through a custom visualization platform.",

keywords = "Walkway discovery, auto verification, crowdsensing, mobility trajectory, road maps, walkable area",

author = "Chu Cao and Zhidan Liu and Mo Li and Wenqiang Wang and Zheng Qin",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 17th ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN 2018 ; Conference date: 11-04-2018 Through 13-04-2018",

year = "2018",

month = oct,

day = "2",

doi = "10.1109/IPSN.2018.00037",

language = "English",

series = "Proceedings - 17th ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN 2018",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "148--149",

booktitle = "Proceedings - 17th ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN 2018",

}

Cao, C, Liu, Z, Li, M, Wang, W & Qin, Z 2018, Demo Abstract: Walkway Discovery from Large Scale Crowdsensing. in Proceedings - 17th ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN 2018., 8480060, Proceedings - 17th ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN 2018, Institute of Electrical and Electronics Engineers Inc., pp. 148-149, 17th ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN 2018, Porto, Portugal, 11/04/18. https://doi.org/10.1109/IPSN.2018.00037

Demo Abstract: Walkway Discovery from Large Scale Crowdsensing. / Cao, Chu; Liu, Zhidan; Li, Mo et al.
Proceedings - 17th ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 148-149 8480060 (Proceedings - 17th ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN 2018).

Research output: Chapter in Book/Conference Proceeding/Report › Conference Paper published in a book › peer-review

TY - GEN

T1 - Demo Abstract

T2 - 17th ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN 2018

AU - Cao, Chu

AU - Liu, Zhidan

AU - Li, Mo

AU - Wang, Wenqiang

AU - Qin, Zheng

PY - 2018/10/2

Y1 - 2018/10/2

N2 - Existing digital maps mainly focus on motorways and miss many walkways facilitating people's daily mobility especially for pedestrians. Based on in-depth analysis of massive human mobility trajectories collected from the National Science Experiment (NSE) in Singapore, we propose a system, discovering walkways from the large scale crowdsensing mobility data. In this demo, we show the new-found walkways discovered by our system in Singapore through a custom visualization platform.

AB - Existing digital maps mainly focus on motorways and miss many walkways facilitating people's daily mobility especially for pedestrians. Based on in-depth analysis of massive human mobility trajectories collected from the National Science Experiment (NSE) in Singapore, we propose a system, discovering walkways from the large scale crowdsensing mobility data. In this demo, we show the new-found walkways discovered by our system in Singapore through a custom visualization platform.

KW - Walkway discovery

KW - auto verification

KW - crowdsensing

KW - mobility trajectory

KW - road maps

KW - walkable area

UR - https://www.webofscience.com/wos/woscc/full-record/WOS:000449016500029

UR - https://openalex.org/W2798394364

UR - https://www.scopus.com/pages/publications/85056261204

U2 - 10.1109/IPSN.2018.00037

DO - 10.1109/IPSN.2018.00037

M3 - Conference Paper published in a book

T3 - Proceedings - 17th ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN 2018

SP - 148

EP - 149

BT - Proceedings - 17th ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN 2018

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 11 April 2018 through 13 April 2018

ER -

Cao C, Liu Z, Li M, Wang W, Qin Z. Demo Abstract: Walkway Discovery from Large Scale Crowdsensing. In Proceedings - 17th ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 148-149. 8480060. (Proceedings - 17th ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN 2018). doi: 10.1109/IPSN.2018.00037

Demo Abstract: Walkway Discovery from Large Scale Crowdsensing

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Keywords

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