Severity analysis of crashes involving in-state and out-of-state large truck drivers in alabama: a random parameter multinomial logit model with heterogeneity in means and variances

HIGHLIGHTS

• who: Sunday Okafor from the Department Civil, Construction, and Environmental Engineering, The University Alabama, USA have published the article: Severity analysis of crashes involving in-state and out-of-state large truck drivers in Alabama: A random parameter multinomial logit model with heterogeneity in means and variances, in the Journal: (JOURNAL)
• what: The study showed that lane changing crashes on unlit roadway and involving older drivers, at-fault commercial vehicles, and female drivers are more likely to result in major injury. For this study, two separate random parameter multinomial logit models were developed for crashes . . .
  

   

  

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