@article{ref1,
title="Development of an errorable car-following driver model",
journal="Vehicle system dynamics",
year="2010",
author="Yang, H.-h. and Peng, H.",
volume="48",
number="6",
pages="751-773",
abstract="An errorable car-following driver model is presented in this paper. An errorable driver model is one that emulates human driver's functions and can generate both nominal (error-free), as well as devious (with error) behaviours. This model was developed for evaluation and design of active safety systems. The car-following data used for developing and validating the model were obtained from a large-scale naturalistic driving database. The stochastic car-following behaviour was first analysed and modelled as a random process. Three error-inducing behaviours were then introduced. First, human perceptual limitation was studied and implemented. Distraction due to non-driving tasks was then identified based on the statistical analysis of the driving data. Finally, time delay of human drivers was estimated through a recursive least-square identification process. By including these three error-inducing behaviours, rear-end collisions with the lead vehicle could occur. The simulated crash rate was found to be similar but somewhat higher than that reported in traffic statistics.   Keywords: Driver distraction;<p /> ",
language="en",
issn="0042-3114",
doi="10.1080/00423110903128524",
url="http://dx.doi.org/10.1080/00423110903128524"
}