Applications of machine learning methods in traffic crash severity modelling: current status and future directions
As a key area of traffic safety research, crash severity modelling has attracted tremendous
attention. Recently, there has been growing interest in applying machine learning (ML) …
attention. Recently, there has been growing interest in applying machine learning (ML) …
Occupant injury severities in hybrid-vehicle involved crashes: A random parameters approach with heterogeneity in means and variances
Differences in hybrid and non-hybrid vehicle design, and potential differences in driver-
related behavior among owners of these vehicle types, can potentially have interesting …
related behavior among owners of these vehicle types, can potentially have interesting …
Spatiotemporal instability analysis of injury severities in truck-involved and non-truck-involved crashes
The truck involvement could potentially increase the crash frequency and resulted injury
outcomes and it is of great necessity to understand the similarities and differences in the …
outcomes and it is of great necessity to understand the similarities and differences in the …
Analysis of accident injury-severity outcomes: The zero-inflated hierarchical ordered probit model with correlated disturbances
G Fountas, PC Anastasopoulos - Analytic methods in accident research, 2018 - Elsevier
In accident injury-severity analysis, an inherent limitation of the traditional ordered probit
approach arises from the a priori consideration of a homogeneous source for the accidents …
approach arises from the a priori consideration of a homogeneous source for the accidents …
Impact of road-surface condition on rural highway safety: A multivariate random parameters negative binomial approach
Recent studies have begun to shed more light on the crashes experienced on rural roads by
examining the influence of a road's pavement surface condition. In a bid to contribute to this …
examining the influence of a road's pavement surface condition. In a bid to contribute to this …
A new econometric approach for modeling several count variables: a case study of crash frequency analysis by crash type and severity
There is limited adoption of research modeling crash severity frequency considering
different crash types due to the challenge associated with analyzing large number of …
different crash types due to the challenge associated with analyzing large number of …
Truck crash severity in New York city: an investigation of the spatial and the time of day effects
This paper investigates the differences between single-vehicle and multi-vehicle truck
crashes in New York City. The random parameter models take into account the time of day …
crashes in New York City. The random parameter models take into account the time of day …
Modeling nonlinear relationship between crash frequency by severity and contributing factors by neural networks
This study develops neural network models to explore the nonlinear relationship between
crash frequency by severity and risk factors. To eliminate the possibility of over-fitting and to …
crash frequency by severity and risk factors. To eliminate the possibility of over-fitting and to …
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 …
Practical advantage of crossed random intercepts under Bayesian hierarchical modeling to tackle unobserved heterogeneity in clustering critical versus non-critical …
AK Bakhshi, MM Ahmed - Accident Analysis & Prevention, 2021 - Elsevier
Traditional hierarchical modeling has been proposed to account for unobserved
heterogeneity in the crash analysis. Previous studies investigated the grouping of individual …
heterogeneity in the crash analysis. Previous studies investigated the grouping of individual …