Investigating injury severities of motorcycle riders: A two-step method integrating latent class cluster analysis and random parameters logit model
Due to the wide existence of heterogeneous nature in traffic safety data, traditional methods
used to investigate motorcyclist rider injury severity always lead to masking of some …
used to investigate motorcyclist rider injury severity always lead to masking of some …
Analysis of vehicle accident-injury severities: A comparison of segment-versus accident-based latent class ordered probit models with class-probability functions
G Fountas, PC Anastasopoulos… - Analytic methods in …, 2018 - Elsevier
Using information from 1990 single-vehicle accidents that occurred between 2011 and 2013
in the state of Washington, the injury severity level of the most severely injured vehicle …
in the state of Washington, the injury severity level of the most severely injured vehicle …
[HTML][HTML] Analyzing injury severity of motorcycle at-fault crashes using machine learning techniques, decision tree and logistic regression models
A review of US mortality crashes revealed that motorcycle crashes are overrepresented in
fatal crashes in the United States. Unlike passenger vehicles, motorcycles do not have much …
fatal crashes in the United States. Unlike passenger vehicles, motorcycles do not have much …
Investigation of factors affecting the injury severity of single-vehicle rollover crashes: A random-effects generalized ordered probit model
AJ Anarkooli, M Hosseinpour, A Kardar - Accident Analysis & Prevention, 2017 - Elsevier
Rollover crashes are responsible for a notable number of serious injuries and fatalities;
hence, they are of great concern to transportation officials and safety researchers. However …
hence, they are of great concern to transportation officials and safety researchers. However …
Multivariate random parameters collision count data models with spatial heterogeneity
S Barua, K El-Basyouny, MT Islam - Analytic methods in accident research, 2016 - Elsevier
This study investigated the effects of including spatial heterogeneity in multivariate random
parameters models and their influence on different collision severity levels. The models …
parameters models and their influence on different collision severity levels. The models …
Analysis of contributory factors of fatal pedestrian crashes by mixed logit model and association rules
M Rella Riccardi, F Mauriello, A Scarano… - International journal of …, 2023 - Taylor & Francis
Pedestrians are the most vulnerable road users and pedestrian crashes are a major concern
both for their number and their severity. In Italy, pedestrians account for 34% of the road …
both for their number and their severity. In Italy, pedestrians account for 34% of the road …
Injury severity analysis of motorcycle crashes: A comparison of latent class clustering and latent segmentation based models with unobserved heterogeneity
The latent class clustering and latent segmentation-based models are employed to account
for heterogeneity across different groups. Further, the random parameter variants of these …
for heterogeneity across different groups. Further, the random parameter variants of these …
Analyzing driver injury severity in two-vehicle rear-end crashes considering leading-following configurations based on passenger car and light truck involvement
Rear-end crash is a major type of traffic crashes leading to a large number of injuries and
fatalities each year, and passenger cars and light trucks are two main vehicle types in rear …
fatalities each year, and passenger cars and light trucks are two main vehicle types in rear …
Using latent class analysis and mixed logit model to explore risk factors on driver injury severity in single-vehicle crashes
The single-vehicle crash has been recognized as a critical crash type due to its high fatality
rate. In this study, a two-year crash dataset including all single-vehicle crashes in New …
rate. In this study, a two-year crash dataset including all single-vehicle crashes in New …
Using vehicular trajectory data to explore risky factors and unobserved heterogeneity during lane-changing
This study aims to investigate contributing factors to potential collision risks during lane-
changing processes from the perspective of vehicle groups and explore the unobserved …
changing processes from the perspective of vehicle groups and explore the unobserved …