A literature review of machine learning algorithms for crash injury severity prediction
Introduction: Road traffic crashes represent a major public health concern, so it is of
significant importance to understand the factors associated with the increase of injury …
significant importance to understand the factors associated with the increase of injury …
A review of the effect of traffic and weather characteristics on road safety
Taking into consideration the increasing availability of real-time traffic data and stimulated by
the importance of proactive safety management, this paper attempts to provide a review of …
the importance of proactive safety management, this paper attempts to provide a review of …
An analytic framework using deep learning for prediction of traffic accident injury severity based on contributing factors
Vulnerable road users (VRUs) are exposed to the highest risk in the road traffic environment.
Analyzing contributing factors that affect injury severity facilitates injury severity prediction …
Analyzing contributing factors that affect injury severity facilitates injury severity prediction …
Unobserved heterogeneity and the statistical analysis of highway accident data
Highway accidents are complex events that involve a variety of human responses to external
stimuli, as well as complex interactions between the vehicle, roadway features/condition …
stimuli, as well as complex interactions between the vehicle, roadway features/condition …
A note on out-of-sample prediction, marginal effects computations, and temporal testing with random parameters crash-injury severity models
Random parameters logit models have become an increasingly popular method to
investigate crash-injury severities in recent years. However, there remain potential elements …
investigate crash-injury severities in recent years. However, there remain potential elements …
Determinants of bicyclist injury severities in bicycle-vehicle crashes: A random parameters approach with heterogeneity in means and variances
This paper investigates risk factors that significantly contribute to the injury severity of
bicyclists in bicycle/motor-vehicle crashes while systematically accounting for unobserved …
bicyclists in bicycle/motor-vehicle crashes while systematically accounting for unobserved …
Evidence of sample selectivity in highway injury-severity models: The case of risky driving during COVID-19
Research in highway safety continues to struggle to address two potentially important
issues; the role that unobserved factors may play on resulting crash and injury-severity …
issues; the role that unobserved factors may play on resulting crash and injury-severity …
Analytic methods in accident research: Methodological frontier and future directions
The analysis of highway-crash data has long been used as a basis for influencing highway
and vehicle designs, as well as directing and implementing a wide variety of regulatory …
and vehicle designs, as well as directing and implementing a wide variety of regulatory …
Understanding factors influencing shared e-scooter usage and its impact on auto mode substitution
Shared e-scooter is a fairly new transportation mode that emerged in late 2017. Since then,
it has gained popularity around the world; however, it also has spiraled into disarray in many …
it has gained popularity around the world; however, it also has spiraled into disarray in many …
A temporal analysis of driver-injury severities in crashes involving aggressive and non-aggressive driving
Aggressive driving has become a national traffic-safety concern, with increasing congestion
and other stress-inducing factors making it more likely drivers take out their frustrations by …
and other stress-inducing factors making it more likely drivers take out their frustrations by …