An empirical analysis of run-off-road injury severity crashes involving large trucks

NSS Al-Bdairi, S Hernandez - Accident Analysis & Prevention, 2017 - Elsevier
In recent years, there has been an increasing interest in understanding the contributory
factors to run-off-road (ROR) crashes in the US, especially those where large trucks are …

Effects of speed difference on injury severity of freeway rear-end crashes: Insights from correlated joint random parameters bivariate probit models and temporal …

C Wang, M Abdel-Aty, L Han - Analytic methods in accident research, 2024 - Elsevier
Rear-end crashes particularly on freeways are the most frequent type of collisions causing
many injuries, damage and congestion. This paper investigates the impact of varying speed …

Unobserved heterogeneity and the statistical analysis of highway accident data

FL Mannering, V Shankar, CR Bhat - Analytic methods in accident research, 2016 - Elsevier
Highway accidents are complex events that involve a variety of human responses to external
stimuli, as well as complex interactions between the vehicle, roadway features/condition …

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 …

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
Using the data from large-truck crashes in Los Angeles over an eight-year period (January
1, 2010 to December 31, 2017), the variation in the influence of factors affecting injury …

Determinants of bicyclist injury severities in bicycle-vehicle crashes: A random parameters approach with heterogeneity in means and variances

A Behnood, F Mannering - Analytic methods in accident research, 2017 - Elsevier
This paper investigates risk factors that significantly contribute to the injury severity of
bicyclists in bicycle/motor-vehicle crashes while systematically accounting for unobserved …

Analytic methods in accident research: Methodological frontier and future directions

FL Mannering, CR Bhat - Analytic methods in accident research, 2014 - Elsevier
The analysis of highway-crash data has long been used as a basis for influencing highway
and vehicle designs, as well as directing and implementing a wide variety of regulatory …

Factors affecting motorcyclists' injury severities: An empirical assessment using random parameters logit model with heterogeneity in means and variances

M Waseem, A Ahmed, TU Saeed - Accident Analysis & Prevention, 2019 - Elsevier
Motorcycles constitute 61% of the total registered vehicles in Pakistan and there has been a
371% growth in motorcycles in the country from year 2005-2015. Motorcycle is an essential …

A statistical assessment of temporal instability in the factors determining motorcyclist injury severities

N Alnawmasi, F Mannering - Analytic methods in accident research, 2019 - Elsevier
This study explores the temporal instability of factors affecting motorcyclist-injury severities in
single-vehicle motorcycle crashes in Florida. Two data sources are used; one covers the …

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 …