Highway safety assessment and improvement through crash prediction by injury severity and vehicle damage using Multivariate Poisson-Lognormal model and Joint …
… in predicting crash counts by severity level. Furthermore, crash prediction models based on
… estimate crash counts by severity, the Poisson regression model has been initially used to …
… estimate crash counts by severity, the Poisson regression model has been initially used to …
A Bayesian spatial Poisson-lognormal model to examine pedestrian crash severity at signalized intersections
… accurate crash prediction through complex model configurations. … , and non-incapacitating
crash counts for pedestrians. … for crash counts of each crash severity and suggest that the …
crash counts for pedestrians. … for crash counts of each crash severity and suggest that the …
Multivariate Poisson-Lognormal models for predicting peak-period crash frequency of joint on-ramp and merge segments on freeways
… regression model since the crash data gives a non-negative integer. However, the Poisson
… models were developed to predict the short-term crash counts for models with two severity …
… models were developed to predict the short-term crash counts for models with two severity …
Bayesian analysis of multivariate crash counts using copulas
… on crash counts by severity level or by collision type, various … , and multivariate Poisson-Lognormal
regression models … The mean prediction bias (MPB) is close to 0 for both models. It …
regression models … The mean prediction bias (MPB) is close to 0 for both models. It …
[HTML][HTML] A Poisson Lognormal-Lindley model for simultaneous estimation of multiple crash-types: Application of multivariate and pooled univariate models
… crash means predicted by the separate univariate models … the crash counts Y i (by crash type
across different severity … formulated in the context of generalized linear models, such that:(2…
across different severity … formulated in the context of generalized linear models, such that:(2…
A new econometric approach for modeling several count variables: a case study of crash frequency analysis by crash type and severity
… analysis was conducted using zonal level crash count data … multivariate system for predicting
crash counts across different … regression, Multivariate Poisson-lognormal, Multivariate …
crash counts across different … regression, Multivariate Poisson-lognormal, Multivariate …
[HTML][HTML] Effects of road network characteristics on bicycle safety: A multivariate Poisson-lognormal model
… counts of different crash types. In this study, multivariate Poisson-lognormal regression
method is … Despite that, bicyclists are more vulnerable to severe injuries in the road crashes, …
method is … Despite that, bicyclists are more vulnerable to severe injuries in the road crashes, …
[HTML][HTML] Applying a joint model of crash count and crash severity to identify road segments with high risk of fatal and serious injury crashes
… based on predicted crash counts by severity, weighted by the … in crash counts following a
Poisson lognormal distribution. … , non-parametric quantile regression models must be used in …
Poisson lognormal distribution. … , non-parametric quantile regression models must be used in …
Copula-based bivariate count data regression models for simultaneous estimation of crash counts based on severity and number of vehicles
… Bivariate negative binomial and bivariate Poisson lognormal regression models assume
a specific joint distribution for the dependent variables (or error terms associated with the …
a specific joint distribution for the dependent variables (or error terms associated with the …
[HTML][HTML] Analysis of injuries and deaths from road traffic accidents in Iran: bivariate regression approach
S Shahsavari, A Mohammadi, S Mostafaei… - BMC emergency …, 2022 - Springer
… count regression models for accident data in the literature. … is no linear relationship
between the model and predictive (… of several variables in the severity of the accident. Out of 9 …
between the model and predictive (… of several variables in the severity of the accident. Out of 9 …