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 …
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) …
Comparative study of machine learning classifiers for modelling road traffic accidents
Road traffic accidents (RTAs) are a major cause of injuries and fatalities worldwide. In recent
years, there has been a growing global interest in analysing RTAs, specifically concerned …
years, there has been a growing global interest in analysing RTAs, specifically concerned …
Traffic accident's severity prediction: A deep-learning approach-based CNN network
M Zheng, T Li, R Zhu, J Chen, Z Ma, M Tang… - IEEE …, 2019 - ieeexplore.ieee.org
In traffic accident, an accurate and timely severity prediction method is necessary for the
successful deployment of an intelligent transportation system to provide corresponding …
successful deployment of an intelligent transportation system to provide corresponding …
Machine learning based accident prediction in secure iot enable transportation system
Smart city has come a long way since the development of emerging technology like
Information and communications technology (ICT), Internet of Things (IoT), Machine …
Information and communications technology (ICT), Internet of Things (IoT), Machine …
Predicting crash injury severity with machine learning algorithm synergized with clustering technique: A promising protocol
Predicting crash injury severity is a crucial constituent of reducing the consequences of
traffic crashes. This study developed machine learning (ML) models to predict crash injury …
traffic crashes. This study developed machine learning (ML) models to predict crash injury …
Influence of seat-belt use on the severity of injury in traffic accidents
Background About 1.35 million people died in traffic accidents around the world in 2018,
make this type of accidents the 8th cause of death in the world. Particularly, in Spain, there …
make this type of accidents the 8th cause of death in the world. Particularly, in Spain, there …
[HTML][HTML] A novel one-vs-rest consensus learning method for crash severity prediction
SF Hussain, MM Ashraf - Expert systems with applications, 2023 - Elsevier
Research in crash severity prediction is necessary to allow safety planners to take
precautionary measures and enable first aiders to remain prepared for assisting the injured …
precautionary measures and enable first aiders to remain prepared for assisting the injured …
Comparative study on data mining classification algorithms for predicting road traffic accident severity
According to World Health Organization report the number of deaths by road traffic accident
is more than 1.25 million people and every year with non-fatal accidents affecting more than …
is more than 1.25 million people and every year with non-fatal accidents affecting more than …
Modeling highly imbalanced crash severity data by ensemble methods and global sensitivity analysis
Crash severity has been extensively studied and numerous methods have been developed
for investigating the relationship between crash outcome and explanatory variables. Crash …
for investigating the relationship between crash outcome and explanatory variables. Crash …