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

DOI

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.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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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  - Proceedings of the 3rd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2019)
PB  - Atlantis Press
SP  - 289
EP  - 295
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmeit-19.2019.50
DO  - 10.2991/icmeit-19.2019.50
ID  - Wang2019/04
ER  -