Citation

Bai L, Fan JJ. Appl. Mech. Mater. 2012; 236-237: 683-688.

Copyright

(Copyright © 2012, Trans Tech Publications)

DOI

10.4028/www.scientific.net/AMM.236-237.683

PMID

unavailable

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.

Language: en