@article{ref1,
title="Modeling pipeline driving behaviors: hidden Markov model approach",
journal="Transportation research record",
year="2006",
author="Xi, Z and Levinson, David M.",
volume="1980",
number="",
pages="16-23",
abstract="Driving behaviors at intersections are complex. At intersections, drivers face more traffic events than elsewhere and are thus exposed to more potential errors with safety consequences. Drivers make real-time responses in a stochastic manner. This study used hidden Markov models (HMMs) to model the driving behavior of through-going vehicles on major roads at intersections. Observed vehicle movement data were used to estimate the model. A single HMM was used to cluster movements when vehicles were close to the intersection. The reestimated clustered HMMs could more accurately predict vehicle movements compared with traditional car-following models.<p />",
language="en",
issn="0361-1981",
doi="",
url="http://dx.doi.org/"
}