Algorithm and Application for Labeling Workplace and Residence based on Traffic Big Data
- Jie Wang, Yunyao Zhou
- Corresponding Author
- Yunyao Zhou
Available Online April 2019.
- https://doi.org/10.2991/icmeit-19.2019.50How to use a DOI?
- The label of workplace and residence; Regular travel; Traffic big data.
- 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.
- 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 -