Project Details
Project Description
Using the AmTech PST to predict real-world levels of driver fatigue and establish a dose-response relationship.
These study objectives are in addition to those listed in Q2V478586. These include:
(a) To determine the amount of sleep where crash risk doubles (based on a comparable model to BAC). This will be determined through modelling the crash risk for the four durations of sleep, and using interpolation propose the point at which the risk doubles. See Box 1;
(b) To determine the predictive capacity of AmTech to predict more real-world levels of driver fatigue;
This will be determined using sensitivity/specificity analyses
(c) To determine the predictive capacity of AmTech to predict a threshold of which driver impairment is deemed unacceptable risk (e.g., more than double the risk of a baseline, well-rested drive);
These study objectives are in addition to those listed in Q2V478586. These include:
(a) To determine the amount of sleep where crash risk doubles (based on a comparable model to BAC). This will be determined through modelling the crash risk for the four durations of sleep, and using interpolation propose the point at which the risk doubles. See Box 1;
(b) To determine the predictive capacity of AmTech to predict more real-world levels of driver fatigue;
This will be determined using sensitivity/specificity analyses
(c) To determine the predictive capacity of AmTech to predict a threshold of which driver impairment is deemed unacceptable risk (e.g., more than double the risk of a baseline, well-rested drive);
Status | Finished |
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Effective start/end date | 21/01/19 → 27/09/19 |