Using an ARIMA-GARCH Modeling Approach to Improve Subway Short-Term Ridership Forecasting Accounting for Dynamic Volatility

Chuan Ding, Jinxiao Duan, Yanru Zhang, Xinkai Wu, Guizhen Yu. Using an ARIMA-GARCH Modeling Approach to Improve Subway Short-Term Ridership Forecasting Accounting for Dynamic Volatility. IEEE Transactions on Intelligent Transportation Systems, 19(4):1054-1064, 2018. [doi]

@article{DingDZWY18,
  title = {Using an ARIMA-GARCH Modeling Approach to Improve Subway Short-Term Ridership Forecasting Accounting for Dynamic Volatility},
  author = {Chuan Ding and Jinxiao Duan and Yanru Zhang and Xinkai Wu and Guizhen Yu},
  year = {2018},
  doi = {10.1109/TITS.2017.2711046},
  url = {https://doi.org/10.1109/TITS.2017.2711046},
  researchr = {https://researchr.org/publication/DingDZWY18},
  cites = {0},
  citedby = {0},
  journal = {IEEE Transactions on Intelligent Transportation Systems},
  volume = {19},
  number = {4},
  pages = {1054-1064},
}