Machine learning in occupational accident analysis: A review using science map** approach with citation network analysis

S Sarkar, J Maiti - Safety science, 2020 - Elsevier
The present study reviews the publications that examine the application of machine learning
(ML) approaches in occupational accident analysis. The review process includes four …

Injury severity prediction of traffic crashes with ensemble machine learning techniques: A comparative study

A Jamal, M Zahid, M Tauhidur Rahman… - … journal of injury …, 2021 - Taylor & Francis
A better understanding of injury severity risk factors is fundamental to improving crash
prediction and effective implementation of appropriate mitigation strategies. Traditional …

Transparent deep machine learning framework for predicting traffic crash severity

K Sattar, F Chikh Oughali, K Assi, N Ratrout… - Neural Computing and …, 2023 - Springer
Abstract Analysis of crash injury severity is a promising research target in highway safety
studies. A better understanding of crash severity risk factors is vital for the proactive …

Predicting and analyzing injury severity: A machine learning-based approach using class-imbalanced proactive and reactive data

S Sarkar, A Pramanik, J Maiti, G Reniers - Safety science, 2020 - Elsevier
Although the utility of the machine learning (ML) techniques is established in occupational
accident domain using reactive data, its exploration in predicting injury severity using both …

A random thresholds random parameters hierarchical ordered probit analysis of highway accident injury-severities

G Fountas, PC Anastasopoulos - Analytic methods in accident research, 2017 - Elsevier
This study uses highway accident data collected in the State of Washington, between 2011
and 2013, to study the factors that affect accident injury-severities. To account for the fixed …

Temporal stability of driver injury severity in single-vehicle roadway departure crashes: A random thresholds random parameters hierarchical ordered probit approach

M Yu, C Ma, J Shen - Analytic methods in accident research, 2021 - Elsevier
This study examines contributing variables affecting the driver injury-severity in single-
vehicle roadway departure crashes. To capture the threshold heterogeneity and unobserved …

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 …

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 …

Investigating occupant injury severity of truck-involved crashes based on vehicle types on a mountainous freeway: A hierarchical Bayesian random intercept approach

MT Haq, M Zlatkovic, K Ksaibati - Accident Analysis & Prevention, 2020 - Elsevier
Earlier research on injury severity of truck-involved crashes focused primarily on single-truck
and multi-vehicle crashes with truck involvement, or investigated truck-involved injury …

Analyzing driver injury severity in two-vehicle rear-end crashes considering leading-following configurations based on passenger car and light truck involvement

R Zou, H Yang, W Yu, H Yu, C Chen, G Zhang… - Accident Analysis & …, 2023 - Elsevier
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 …