Proceedings of the 3rd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2019)

Algorithm and Application for Labeling Workplace and Residence based on Traffic Big Data

Authors
Jie Wang, Yunyao Zhou
Corresponding Author
Yunyao Zhou
Available Online April 2019.
DOI
https://doi.org/10.2991/icmeit-19.2019.50How to use a DOI?
Keywords
The label of workplace and residence; Regular travel; Traffic big data.
Abstract
Congestion in urban makes too many commuters choose public transport for traveling. A large number of public transportation travel data can accurately calculate workplace and residence of the regular passengers. The label of workplace and residence helps to analyze urban migration and the distribution of workplace and residence.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
3rd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2019)
Part of series
Advances in Computer Science Research
Publication Date
April 2019
ISBN
978-94-6252-708-9
ISSN
2352-538X
DOI
https://doi.org/10.2991/icmeit-19.2019.50How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Jie Wang
AU  - Yunyao Zhou
PY  - 2019/04
DA  - 2019/04
TI  - Algorithm and Application for Labeling Workplace and Residence based on Traffic Big Data
BT  - 3rd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2019)
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmeit-19.2019.50
DO  - https://doi.org/10.2991/icmeit-19.2019.50
ID  - Wang2019/04
ER  -