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Injury severity prediction of traffic crashes with ensemble machine learning techniques: A comparative study
A better understanding of injury severity risk factors is fundamental to improving crash
prediction and effective implementation of appropriate mitigation strategies. Traditional …
prediction and effective implementation of appropriate mitigation strategies. Traditional …
A statistical assessment of temporal instability in the factors determining motorcyclist injury severities
This study explores the temporal instability of factors affecting motorcyclist-injury severities in
single-vehicle motorcycle crashes in Florida. Two data sources are used; one covers the …
single-vehicle motorcycle crashes in Florida. Two data sources are used; one covers the …
Diagnostic analysis of the effects of weather condition on pedestrian crash severity
Pedestrians are vulnerable to severe injury and mortality in road crashes. Numerous studies
have attempted to identify factors contributing to crashes and pedestrian injury risks. As an …
have attempted to identify factors contributing to crashes and pedestrian injury risks. As an …
Empirical comparison of the effects of urban and rural crashes on motorcyclist injury severities: A correlated random parameters ordered probit approach with …
In Thailand in 2016, more than 70% of all deaths due to road accidents were motorcyclist
deaths. This study uses a correlated random parameters ordered probit model with …
deaths. This study uses a correlated random parameters ordered probit model with …