Investigating driver injury severity patterns in rollover crashes using support vector machine models
Rollover crash is one of the major types of traffic crashes that induce fatal injuries. It is
important to investigate the factors that affect rollover crashes and their influence on driver …
important to investigate the factors that affect rollover crashes and their influence on driver …
Safety and associated parameters influencing performance of rail road grade crossings: A critical review of state of the art
Abstract Introduction: Railroad grade crossings (RRGCs) have emerged as critical
transportation infrastructures from the point of safety and operational aspects because two …
transportation infrastructures from the point of safety and operational aspects because two …
Accounting for unobserved heterogeneity and spatial instability in the analysis of crash injury-severity at highway-rail grade crossings: A random parameters with …
Crashes at highway-rail grade crossings often result in higher proportion of injury and fatality
of the vehicle occupants as compared to other crash types, necessitating in-depth …
of the vehicle occupants as compared to other crash types, necessitating in-depth …
Pedestrian injury severity in motor vehicle crashes: an integrated spatio-temporal modeling approach
Traffic crashes are outcomes of human activities interacting with the diverse cultural, socio-
economic and geographic contexts, presenting a spatial and temporal nature. This study …
economic and geographic contexts, presenting a spatial and temporal nature. This study …
An explanatory analysis of driver injury severity in rear-end crashes using a decision table/Naïve Bayes (DTNB) hybrid classifier
Rear-end crashes are a major type of traffic crashes in the US Of practical necessity is a
comprehensive examination of its mechanism that results in injuries and fatalities. Decision …
comprehensive examination of its mechanism that results in injuries and fatalities. Decision …
Spatiotemporal analysis of crash severity on rural highway: A case study in Anhui, China
Traffic crashes are the result of the interaction between human activities and different socio-
economic, geographical, and environmental factors, showing a temporal and spatial …
economic, geographical, and environmental factors, showing a temporal and spatial …
Post-pandemic shared mobility and active travel in Alabama: a machine learning analysis of COVID-19 survey data
The COVID-19 pandemic has had unprecedented impacts on the way we get around, which
has increased the need for physical and social distancing while traveling. Shared mobility …
has increased the need for physical and social distancing while traveling. Shared mobility …
Exploring driver injury severity patterns and causes in low visibility related single-vehicle crashes using a finite mixture random parameters model
Low visibility is consistently considered as a hazardous factor due to its potential leading to
severe fatal crashes. However, unlike the other inclement weather conditions that have …
severe fatal crashes. However, unlike the other inclement weather conditions that have …
Exploring microscopic driving volatility in naturalistic driving environment prior to involvement in safety critical events—Concept of event-based driving volatility
The sequence of instantaneous driving decisions and its variations, known as driving
volatility, prior to involvement in safety critical events can be a leading indicator of safety …
volatility, prior to involvement in safety critical events can be a leading indicator of safety …
Do safety performance functions used for predicting crash frequency vary across space? Applying geographically weighted regressions to account for spatial …
Abstract Safety Performance Functions (SPFs) provide a basis for identifying locations
where countermeasures can be effective. While SPFs in the Highway Safety Manual (HSM) …
where countermeasures can be effective. While SPFs in the Highway Safety Manual (HSM) …