Assessing the Negative Binomial-Lindley model for crash hotspot identification: Insights from Monte Carlo simulation analysis
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Elsevier BV
Reference49 articles.
1. A random parameters with heterogeneity in means and Lindley approach to analyze crash data with excessive zeros: a case study of head-on heavy vehicle crashes in Queensland;Behara;Accid. Anal. Prev.,2021
2. Experimental evaluation of hotspot identification methods;Cheng;Accid. Anal. Prev.,2005
3. New criteria for evaluating methods of identifying hot spots;Cheng;Transp. Res. Rec.,2008
4. State-of-the-art approaches to road accident black spot management and safety analysis of road networks;Elvik,2007
5. The negative binomial-Lindley generalized linear model: characteristics and application using crash data;Geedipally;Accid. Anal. Prev.,2012
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1. The negative Binomial-Lindley model with Time-Dependent Parameters: Accounting for temporal variations and excess zero observations in crash data;Accident Analysis & Prevention;2024-11
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