Effects of speed difference on injury severity of freeway rear-end crashes: Insights from correlated joint random parameters bivariate probit models and temporal instability
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Elsevier BV
Reference133 articles.
1. The joint analysis of injury severity of drivers in two-vehicle crashes accommodating seat belt use endogeneity;Abay;Transportation Research Part B,2013
2. Latent class analysis of factors that influence weekday and weekend single-vehicle crash severities;Adanu;Accident Analysis and Prevention,2018
3. Crash severity analysis of rear-end crashes in California using statistical and machine learning classification methods;Ahmadi;Journal of Transportation Safety and Security,2020
4. Analysis of safety benefits and security concerns from the use of autonomous vehicles: a grouped random parameters bivariate probit approach with heterogeneity in means;Ahmed;Analytic Methods in Accident Research,2020
5. A correlated random parameters with heterogeneity in means approach of deer-vehicle collisions and resulting injury-severities;Ahmed;Analytic Methods in Accident Research,2021
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