Crash injury severity analysis using a two-layer Stacking framework
Crash injury severity analysis is useful for traffic management agency to further understand
severity of crashes. A two-layer Stacking framework is proposed in this study to predict the …
severity of crashes. A two-layer Stacking framework is proposed in this study to predict the …
Comparing prediction performance for crash injury severity among various machine learning and statistical methods
Crash injury severity prediction is a promising research target in traffic safety. Traditionally,
various statistical methods were used for modeling crash injury severities. In recent years …
various statistical methods were used for modeling crash injury severities. In recent years …
Comparison of four statistical and machine learning methods for crash severity prediction
A Iranitalab, A Khattak - Accident Analysis & Prevention, 2017 - Elsevier
Crash severity prediction models enable different agencies to predict the severity of a
reported crash with unknown severity or the severity of crashes that may be expected to …
reported crash with unknown severity or the severity of crashes that may be expected to …
Prediction and factor identification for crash severity: comparison of discrete choice and tree-based models
Crash severity is one of the most widely studied topics in traffic safety area. Scholars have
studied crash severity through various types of models. Using the publicly available 2017 …
studied crash severity through various types of models. Using the publicly available 2017 …
A literature review of machine learning algorithms for crash injury severity prediction
Introduction: Road traffic crashes represent a major public health concern, so it is of
significant importance to understand the factors associated with the increase of injury …
significant importance to understand the factors associated with the increase of injury …
Injury severity prediction of traffic crashes with ensemble machine learning techniques: A comparative study
A better understanding of injury severity risk factors is fundamental to improving crash
prediction and effective implementation of appropriate mitigation strategies. Traditional …
prediction and effective implementation of appropriate mitigation strategies. Traditional …
[HTML][HTML] Using machine learning models to forecast severity level of traffic crashes by R Studio and ArcGIS
This study describes crash causes, conditions, and distribution of accident hot spots along
with an analysis of the risk factors that significantly affect severity levels of crashes and their …
with an analysis of the risk factors that significantly affect severity levels of crashes and their …
Applying machine learning approaches to analyze the vulnerable road-users' crashes at statewide traffic analysis zones
Introduction: In this paper, we present machine learning techniques to analyze pedestrian
and bicycle crash by developing macro-level crash prediction models. Methods: We …
and bicycle crash by developing macro-level crash prediction models. Methods: We …
[HTML][HTML] Crash severity analysis and risk factors identification based on an alternate data source: a case study of developing country
Road traffic injuries are one of the primary reasons for death, especially in developing
countries like Bangladesh. Safety in land transport is one of the major concerns for road …
countries like Bangladesh. Safety in land transport is one of the major concerns for road …
Using support vector machine models for crash injury severity analysis
The study presented in this paper investigated the possibility of using support vector
machine (SVM) models for crash injury severity analysis. Based on crash data collected at …
machine (SVM) models for crash injury severity analysis. Based on crash data collected at …