Exploring crash-risk factors using Bayes’ theorem and an optimization routine

Regression models used to analyse crash counts are associated with some kinds of data aggregation (either spatial, or temporal or both) that may result in inconsistent or incorrect outcomes. This paper introduces a new non-regression approach for analysing risk factors affecting crash counts without...

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Bibliographic Details

Main Authors:	Marianna Imprialou, Mike Maher, Mohammed Quddus
Format:	Default Conference proceeding
Published:	2016
Subjects:	Other built environment and design not elsewhere classified Bayes' theorem Maximum likelihood estimation Speed Volume Crashes Built Environment and Design not elsewhere classified
Online Access:	https://hdl.handle.net/2134/19804
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