Predicting road crashes from a mathematical model of alertness regulation--The Sleep/Wake Predictor.

@article{kerstedt2008PredictingRC,
  title={Predicting road crashes from a mathematical model of alertness regulation--The Sleep/Wake Predictor.},
  author={Torbj{\"o}rn {\AA}kerstedt and Jennie Connor and Andrew Gray and G{\"o}ran Kecklund},
  journal={Accident; analysis and prevention},
  year={2008},
  volume={40 4},
  pages={1480-5}
}
Sleepiness is related to factors such as the time of day, the time since awakening and the duration of prior sleep. The present study investigated whether actual road crashes could be predicted from a mathematical model based on these three factors (the Sleep/Wake Predictor-SWP). Data were derived from a population-based case-control study of serious injury crashes. Data on accident time (or control sampling time) and start and end of prior sleep were entered into the model (blind). The… CONTINUE READING

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