Sensitivity of a real-time freeway crash prediction model to calibration optimality

It was found that safety improvements estimated by the two calibrated crash prediction models are within approximately 13% of each other for the Peak and Near-Peak scenarios, but differ by a larger amount for the Off-Peak scenario. However, despite these differences in the estimated magnitude of the safety impacts, the sign of the impact (i.e. increase versus decrease in safety) were consistent irrespective of the calibration method used. The results suggested that the safety impacts provided by the crash prediction model are robust in that they are relatively insensitive to the optimality of the calibration.