How heterogeneity has been examined in transportation safety analysis: A review of latent class modeling applications
SH Kim - Analytic methods in accident research, 2023 - Elsevier
This study explores how heterogeneity has been examined in transportation safety
analyses, specifically focusing on latent class modeling, which has gained popularity and …
analyses, specifically focusing on latent class modeling, which has gained popularity and …
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 …
A deep generative approach for crash frequency model with heterogeneous imbalanced data
Crash frequency model is often subject to excessive zero observation because of the rare
nature of crashes. To address the problem of imbalanced crash data, a deep generative …
nature of crashes. To address the problem of imbalanced crash data, a deep generative …
Analyzing single-vehicle and multi-vehicle freeway crashes with unobserved heterogeneity
M Feng, X Wang, Y Li - Journal of Transportation Safety & Security, 2023 - Taylor & Francis
Freeways in China have developed rapidly in recent years. The large traffic volumes and
high travel speeds have created a serious safety problem that is of growing concern …
high travel speeds have created a serious safety problem that is of growing concern …
Random-parameter Bayesian hierarchical extreme value modeling approach with heterogeneity in means and variances for traffic conflict–based crash estimation
C Fu, T Sayed - Journal of transportation engineering, Part A …, 2022 - ascelibrary.org
Using random parameters in combination with extreme value theory (EVT) models has been
shown to capture unobserved heterogeneity and improve crash estimation based on traffic …
shown to capture unobserved heterogeneity and improve crash estimation based on traffic …
Comparative analysis of alternative random parameters count data models in highway safety
Unobserved heterogeneity has been a major challenge in develo** reliable road safety
models. A number of statistical techniques have been developed to account for unobserved …
models. A number of statistical techniques have been developed to account for unobserved …
Analysing the main and interaction effects of commercial vehicle mix and roadway attributes on crash rates using a Bayesian random-parameter Tobit model
In previous research, the effects of commercial vehicle proportions (CVP) on overall crash
propensity have been found to be significant, but the results have been varied in terms of the …
propensity have been found to be significant, but the results have been varied in terms of the …
[HTML][HTML] On random-parameter count models for out-of-sample crash prediction: Accounting for the variances of random-parameter distributions
One challenge faced by the random-parameter count models for crash prediction is the
unavailability of unique coefficients for out-of-sample observations. The means of the …
unavailability of unique coefficients for out-of-sample observations. The means of the …
A hybrid approach for modeling bicycle crash frequencies: integrating random forest based SHAP model with random parameter negative binomial regression model
To effectively capture and explain complex, nonlinear relationships within bicycle crash
frequency data and account for unobserved heterogeneity simultaneously, this study …
frequency data and account for unobserved heterogeneity simultaneously, this study …
An integrated multi-resolution framework for jointly estimating crash type and crash severity
The current research effort contributes to safety literature by develo** an integrated
framework that allows for the influence of independent variables from crash type and …
framework that allows for the influence of independent variables from crash type and …