Fabian A Radke, Carlos F da Silva Souto, Wiebke Pätzold, Karen Insa Wolf
Transfer Learning for Automatic Sleep Staging Using a Pre-Gelled Electrode Grid
Diagnostics (Basel, Switzerland)
research utilizes data collected florida examine differentials injury severities among singlevehicle drivers involved work zonerelated incidents specifically focusing distinctions rural urban areas study encompasses fouryear period 20162019 crash dataset likelihood ratio test performed examine model estimates temporal consistency datasets rural urban areas across several time periods throughout year separate statistical models estimated rural urban datasets understand different driver injury severity outcomes injury minor injury severe injury using mixed logit approach possible heterogeneity mean variance random parameters outofsample simulations conducted see effect different parameter changes injury severity probabilities rural urban work zone crashes multiple years various years rural urban models generated statistically significant random factors effectively capture presence heterogeneity means accounting unobservable variations within data clear evidence factors speed limits work zone type traffic volume affecting work zone injury severities found vary significantly rural urban work zone areas however despite difference rural urban work zones share common safety problems countermeasures driver education improved signage appropriate traffic controls combining technologies enhanced law enforcement help mitigate crash severity urban rural work zone areas