Why so many people? Explaining Nonhabitual Transport Overcrowding With Internet Data

@article{Pereira2015WhySM,
  title={Why so many people? Explaining Nonhabitual Transport Overcrowding With Internet Data},
  author={Francisco C. Pereira and Filipe Rodrigues and Evgheni Polisciuc and Moshe E. Ben-Akiva},
  journal={IEEE Transactions on Intelligent Transportation Systems},
  year={2015},
  volume={16},
  pages={1370-1379}
}
Public transport smartcard data can be used for detection of large crowds. By comparing statistics on habitual behavior (e.g., average by time of day), one can specifically identify nonhabitual crowds, which are often very problematic for transport systems. While habitual overcrowding (e.g., peak hour) is well understood both by traffic managers and travelers, nonhabitual overcrowding hotspots can become even more disruptive and unpleasant because they are generally unexpected. By quickly… CONTINUE READING

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