Collision prediction models using multivariate Poisson-lognormal regression.

Abstract

This paper advocates the use of multivariate Poisson-lognormal (MVPLN) regression to develop models for collision count data. The MVPLN approach presents an opportunity to incorporate the correlations across collision severity levels and their influence on safety analyses. The paper introduces a new multivariate hazardous location identification technique… (More)
DOI: 10.1016/j.aap.2009.04.005

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