Modeling the Impact of Driving Styles on Crash Severity Level Using SHRP 2 Naturalistic Driving Data

Previous studies have examined driving styles and how they are associated with crash risks relying on self-report questionnaires to categorize respondents based pre-defined styles. Naturalistic provide a unique opportunity examine this relationship differently. The current study aimed styles, derived from real-road driving, may relate severity. To the relationship, retrieved safety critical events (SCEs) SHRP 2 database adopted joint modelling of number aggregated severity levels (crash vs. non-crash) using Diagonal Inflated Bivariate Poisson (DIBP) model. Variables included various driver characteristics. Among examined, maintenance lower speeds more adaptive responses conditions were fewer crashes given an SCE occurred. Longer experiences, miles driven last year, being female also reduced crashes. Interestingly, older drivers both increased non-crash SCEs. Future work leverage variables widen scope different traffic for complete picture