@article{ref1,
title="A new, non-canonical Poisson regression model for the prediction of crashes on low-volume rural roads",
journal="IATSS research",
year="2012",
author="Polus, Abishai and Cohen, Moshe",
volume="35",
number="2",
pages="98-103",
abstract="The purpose of the study was to compare the prediction power of a simplified non-canonical Poisson crash-prediction model to other model types. The model, fitted to serious and fatal crash data from 86 two-lane low-volume rural highway segments, showed a good fit, which was not significantly different from that of a negative binomial model. The application of the present model uses the linear form of the non-canonical Poisson model. Hence the simplification of the model versus other models results from the finding that the expected number of crashes per 1 km is directly proportional to the daily volume, unlike logarithmic functions in other models. In the non-canonical model, it is necessary to estimate only one parameter, whereas estimations of more parameters are needed in the negative binomial model.<p />",
language="en",
issn="0386-1112",
doi="10.1016/j.iatssr.2011.09.001",
url="http://dx.doi.org/10.1016/j.iatssr.2011.09.001"
}