Forecasting the Subway Passenger Flow Under Event Occurrences With Social Media

@article{Ni2017ForecastingTS,
  title={Forecasting the Subway Passenger Flow Under Event Occurrences With Social Media},
  author={Ming Ni and Qing He and Jing Gao},
  journal={IEEE Transactions on Intelligent Transportation Systems},
  year={2017},
  volume={18},
  pages={1623-1632}
}
Subway passenger flow prediction is strategically important in metro transit system management. The prediction under event occurrences turns into a very challenging task. In this paper, we adopt a new kind of data source—social media—to tackle this challenge. We develop a systematic approach to examine social media activities and sense event occurrences. Our initial analysis demonstrates that there exists a moderate positive correlation between passenger flow and the rates of social media posts… CONTINUE READING
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