  In recent years, autonomous vehicles have become increasingly popular,
leading to extensive research on their safe and efficient operation.
Understanding road yielding behavior is crucial for incorporating the
appropriate driving behavior into algorithms. This paper focuses on
investigating drivers' yielding behavior at unsignalized intersections. We
quantified and modelled the speed reduction time for vulnerable road users at a
zebra crossing using parametric survival analysis. We then evaluated the impact
of speed reduction time in two different interaction scenarios, compared to the
baseline condition of no interaction through an accelerated failure time
regression model with the log-logistic distribution. The results demonstrate
the unique characteristics of each yielding behavior scenario, emphasizing the
need to account for these variations in the modelling process of autonomous
vehicles.
