Gap stability in the light of car-following theory

We elaborate a car-following model with acceleration noise for predicting the statistical properties of a gap measured at two points in a traffic stream. If the noise term is assumed to be Gaussian, then, in a linear theory, the gap itself will have a Gaussian distribution. The variance can be calculated, and the resulting theoretical description reproduces some of the features found in experimental measurements by Buhr.