Predicting traffic volumes and estimating the effects of shocks in massive transportation systems.

@article{Silva2015PredictingTV,
  title={Predicting traffic volumes and estimating the effects of shocks in massive transportation systems.},
  author={Ricardo Tanganelli da Silva and Soong Moon Kang and Edoardo M. Airoldi},
  journal={Proceedings of the National Academy of Sciences of the United States of America},
  year={2015},
  volume={112 18},
  pages={
          5643-8
        }
}
Public transportation systems are an essential component of major cities. The widespread use of smart cards for automated fare collection in these systems offers a unique opportunity to understand passenger behavior at a massive scale. In this study, we use network-wide data obtained from smart cards in the London transport system to predict future traffic volumes, and to estimate the effects of disruptions due to unplanned closures of stations or lines. Disruptions, or shocks, force passengers… CONTINUE READING

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