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See Latest ArticlesAccident prediction models with random corridor parameters
Accident Analysis & Prevention, 08/26/09
El–Basyouny K et al. – Apart from the improvement in goodness of fit, such an approach is useful in gaining new insights into how accident frequencies are influenced by the covariates, and in accounting for heterogeneity due to unobserved road geometrics, traffic characteristics, environmental factors and driver behavior. The inclusion of corridor effects in the mean function could also explain enough variation that some of the model covariates would be rendered non–significant and thereby affecting model inference.
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