Predicting Passenger Flow in Hangzhou Metro Stations - Using a Time Series ARIMA Model based on Desensitized Data

Zehong Ren, Hongzhou Gu, Zehua Ren. Predicting Passenger Flow in Hangzhou Metro Stations - Using a Time Series ARIMA Model based on Desensitized Data. In Proceedings of the 7th International Conference on Cyber Security and Information Engineering, ICCSIE 2022, Brisbane, QLD, Australia, September 23-25, 2022. pages 465-470, ACM, 2022. [doi]

@inproceedings{RenGR22,
  title = {Predicting Passenger Flow in Hangzhou Metro Stations - Using a Time Series ARIMA Model based on Desensitized Data},
  author = {Zehong Ren and Hongzhou Gu and Zehua Ren},
  year = {2022},
  doi = {10.1145/3558819.3565127},
  url = {https://doi.org/10.1145/3558819.3565127},
  researchr = {https://researchr.org/publication/RenGR22},
  cites = {0},
  citedby = {0},
  pages = {465-470},
  booktitle = {Proceedings of the 7th International Conference on Cyber Security and Information Engineering, ICCSIE 2022, Brisbane, QLD, Australia, September 23-25, 2022},
  publisher = {ACM},
  isbn = {978-1-4503-9741-4},
}