@article{ref1,
title="Multivariate poisson-lognormal regression for crash prediction of different types on freeways diverge areas",
journal="Applied mechanics and materials",
year="2012",
author="Bai, Lu and Fan, Jing Jing",
volume="236-237",
number="",
pages="683-688",
abstract="The primary objective of this study was to develop a multivariate Poisson-lognormal regression model (MVPLN) to evaluate the effects of contributing factors to crash frequency and to identify the correlations among different types. Crash data were collected at 282 exit-ramps on freeways in Florida, US.The Markov chain Monte Carlo (MCMC) method was used to get the solutions of the MVPLN model.The effects of crash-related factors of different types were explored in the MVPLN model considering the correlation structure.It was found thatmainline lane number was the contributing factor for both single-lane and two-lane exit ramp.<p /><p>Language: en</p>",
language="en",
issn="1660-9336",
doi="10.4028/www.scientific.net/AMM.236-237.683",
url="http://dx.doi.org/10.4028/www.scientific.net/AMM.236-237.683"
}