Determinant of injury severities in large truck crashes: A weekly instability analysis
A Behnood, NSS Al-Bdairi - Safety science, 2020 - Elsevier
In the past, many attempts have been made to study the effects of large trucks on the safety
of roadway users. However, the exact effects of weekdays and weekends on the injury …
of roadway users. However, the exact effects of weekdays and weekends on the injury …
Analysis of traffic accident severity using decision rules via decision trees
A Decision Tree (DT) is a potential method for studying traffic accident severity. One of its
main advantages is that Decision Rules (DRs) can be extracted from its structure. And these …
main advantages is that Decision Rules (DRs) can be extracted from its structure. And these …
What can we learn from autonomous vehicle collision data on crash severity? A cost-sensitive CART approach
Autonomous vehicles (AVs) are emerging in the automobile industry with potential benefits
to reduce traffic congestion, improve mobility and accessibility, as well as safety. According …
to reduce traffic congestion, improve mobility and accessibility, as well as safety. According …
Predicting and analyzing injury severity: A machine learning-based approach using class-imbalanced proactive and reactive data
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 …
accident domain using reactive data, its exploration in predicting injury severity using both …
Comparing machine learning and deep learning methods for real-time crash prediction
A Theofilatos, C Chen… - Transportation research …, 2019 - journals.sagepub.com
Although there are numerous studies examining the impact of real-time traffic and weather
parameters on crash occurrence on freeways, to the best of the authors' knowledge there …
parameters on crash occurrence on freeways, to the best of the authors' knowledge there …
[HTML][HTML] Crash severity analysis of vulnerable road users using machine learning
Road crash fatality is a universal problem of the transportation system. A massive death toll
caused annually due to road crash incidents, and among them, vulnerable road users (VRU) …
caused annually due to road crash incidents, and among them, vulnerable road users (VRU) …
Applications of machine learning methods in traffic crash severity modelling: current status and future directions
As a key area of traffic safety research, crash severity modelling has attracted tremendous
attention. Recently, there has been growing interest in applying machine learning (ML) …
attention. Recently, there has been growing interest in applying machine learning (ML) …
Mixed logit model-based driver injury severity investigations in single-and multi-vehicle crashes on rural two-lane highways
Crashes occurring on rural two-lane highways are more likely to result in severe driver
incapacitating injuries and fatalities. In this study, mixed logit models are developed to …
incapacitating injuries and fatalities. In this study, mixed logit models are developed to …
Classification of motor vehicle crash injury severity: A hybrid approach for imbalanced data
This study aims to classify the injury severity in motor-vehicle crashes with both high
accuracy and sensitivity rates. The dataset used in this study contains 297,113 vehicle …
accuracy and sensitivity rates. The dataset used in this study contains 297,113 vehicle …
A comparison of the mixed logit and latent class methods for crash severity analysis
DM Cerwick, K Gkritza, MS Shaheed, Z Hans - Analytic Methods in …, 2014 - Elsevier
While there have been many studies analyzing crash severity, few studies have accounted
for unobserved heterogeneity and compared different crash severity models. The objective …
for unobserved heterogeneity and compared different crash severity models. The objective …