An alternative closed-form crash severity model with the non-identical, heavy-tailed, and asymmetric properties

D Li, Y Song, NN Sze, Y Li, T Miwa… - Accident Analysis & …, 2021 - Elsevier
… multiplicative model, with the corresponding to the mixed logit model. … commercial vehicle
are heterogenous among different individuals. However, it is likely that the commercial vehicle

Time-of-day variations and temporal instability of factors affecting injury severities in large-truck crashes

A Behnood, F Mannering - Analytic methods in accident research, 2019 - Elsevier
… , random parameters logit models with heterogeneity in the … current study are then presented.
Finally, a discussion on the … effects on the injury severity of large-truck crashes. However, a …

Investigating the interplay between the attributes of at-fault and not-at-fault drivers and the associated impacts on crash injury occurrence and severity level

L Li, MS Hasnine, KM Nurul Habib… - … Safety & Security, 2017 - Taylor & Francis
use of a bivariate ordered probit model to investigate the conditional probability of the specific
… two-vehicle crash severity and should also lend extensive follow-up sensitivity analysis. In …

[HTML][HTML] … of enforcement levels of speed limit and drink driving laws and associated factors–Exploratory empirical analysis using a bivariate ordered probit model

B Wali, A Ahmed, S Iqbal, A Hussain - Journal of traffic and transportation …, 2017 - Elsevier
… factors, fatalities, vehicle ownership, health services and … through development of bivariate
ordered probit model using data … determinant of crash occurrence and crash severity. The …

A Comparative Study Using Generalized Ordered Probit, Stacking Ensemble, and TabNet: Application to Determinants of Pedestrian Crash Severity

A Rafe, MA Arman, PA Singleton - Data Science for Transportation, 2024 - Springer
… that 40,990 people died in motor vehicle traffic crashes in 2023, underscoring the critical …
In this study, the estimation of the generalized ordered probit model was carried out using

Incorporating spatio-temporal correlation and interaction into a generalized ordered logit model for examining injury severities of traffic accidents

Q Zeng, Z Xu, Y Liang, J Lee… - Journal of Transportation …, 2024 - Taylor & Francis
… effects and interaction in the accident severity data, and that … that covariates related to vehicle
type, accident type, season, … generalized ordered logit models for the analysis of accident

… “Comprehensive analysis of single-and multi-vehicle large truck at-fault crashes on rural and urban roadways in Alabama”: Accounting for temporal instability in crash …

S Biglari, EK Adanu, S Jones - Accident Analysis & Prevention, 2024 - Elsevier
… The findings of this study provide evidence to suggest that some crash severity factors for
at-fault … (2011) considered a heteroskedastic ordered probit model and an ordered probit

Assessment of Large Trucks Crash Severity on a Rural Interstate Road in Wyoming Using Decision Trees and Structural Equation Model

SM Gaweesh, IU Ahmed, MM Ahmed - Journal of Transportation …, 2024 - ascelibrary.org
logit model to investigate the crash severity of crashes involving … -truck crashes used in this
study was 2044 crashes, while 1968 multivehicle truck crashes were included in the analyses

A comparative analysis of factors affecting the frequency and severity of freight-involved and non-freight crashes on a major freight corridor freeway

SG Taylor, BJ Russo, E James - Transportation research …, 2018 - journals.sagepub.com
… or severity of large truck crashes with most focusing primarily on injury … ordered logit models
(severity models) and the associated marginal effects are presented in Tables 5 through 8. In …

An alternate crash severity multicategory modeling approach with asymmetric property

D Li, MFM Al-Mahamda, Y Song, S Feng… - … methods in accident …, 2022 - Elsevier
… In this study, we explore several generalizations of the binary … ) can also permit
heteroscedasticity across observations. Such … the derivation of the logit model, since in the logit’s …