A note on out-of-sample prediction, marginal effects computations, and temporal testing with random parameters crash-injury severity models

Q Hou, X Huo, J Leng, F Mannering - Analytic methods in accident …, 2022 - Elsevier
Random parameters logit models have become an increasingly popular method to
investigate crash-injury severities in recent years. However, there remain potential elements …

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 …

Road safety research in the context of low-and middle-income countries: Macro-scale literature analyses, trends, knowledge gaps and challenges

M Haghani, A Behnood, V Dixit, O Oviedo-Trespalacios - Safety science, 2022 - Elsevier
Road users in low-and middle-income countries (LMICs) are overrepresented in road
trauma statistics. Despite the relative success of many high-income countries (HICs) in …

Empirical comparison of the effects of urban and rural crashes on motorcyclist injury severities: A correlated random parameters ordered probit approach with …

C Se, T Champahom, S Jomnonkwao… - Accident Analysis & …, 2021 - Elsevier
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 …

Analyzing road crash frequencies with uncorrelated and correlated random-parameters count models: An empirical assessment of multilane highways

TU Saeed, T Hall, H Baroud, MJ Volovski - Analytic methods in accident …, 2019 - Elsevier
Recent literature on highway safety research has focused on methodological advances to
minimize misspecifications and the potential for erroneous estimates and invalid statistical …

A correlated random parameters approach to investigate large truck rollover crashes on mountainous interstates

A Alrejjal, A Farid, K Ksaibati - Accident Analysis & Prevention, 2021 - Elsevier
Rollover risk on mountainous interstates is a major concern for transportation agencies due
to the combined mixed effects of adverse weather conditions and complex topography. Such …

Real-time crash risk prediction in freeway tunnels considering features interaction and unobserved heterogeneity: a two-stage deep learning modeling framework

J Jin, H Huang, C Yuan, Y Li, G Zou, H Xue - Analytic methods in accident …, 2023 - Elsevier
Real-time prediction of crash risk is an effective method for enhancing traffic safety, but it is
not fully explored in freeway tunnels. A two-stage deep learning modeling framework …

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 …

Comparative analysis of alternative random parameters count data models in highway safety

Q Hou, X Huo, AP Tarko, J Leng - Analytic methods in accident research, 2021 - Elsevier
Unobserved heterogeneity has been a major challenge in developing reliable road safety
models. A number of statistical techniques have been developed to account for unobserved …

Revisiting freeway single tunnel crash characteristics analysis: A six-zone analytic approach

A Pervez, H Huang, C Han, J Wang, Y Li - Accident Analysis & Prevention, 2020 - Elsevier
Considerable studies have been conducted to investigate the tunnels' traffic safety.
However, the entrance and exit parts of a tunnel are mostly considered symmetrical in …