Exploring the injury severity risk factors in fatal crashes with neural network
A better understanding of circumstances contributing to the severity outcome of traffic
crashes is an important goal of road safety studies. An in-depth crash injury severity analysis …
crashes is an important goal of road safety studies. An in-depth crash injury severity analysis …
RFCNN: Traffic accident severity prediction based on decision level fusion of machine and deep learning model
Traffic accidents on highways are a leading cause of death despite the development of traffic
safety measures. The burden of casualties and damage caused by road accidents is very …
safety measures. The burden of casualties and damage caused by road accidents is very …
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 …
Severity prediction of traffic accidents with recurrent neural networks
In this paper, a deep learning model using a Recurrent Neural Network (RNN) was
developed and employed to predict the injury severity of traffic accidents based on 1130 …
developed and employed to predict the injury severity of traffic accidents based on 1130 …
Applications of deep learning in severity prediction of traffic accidents
This study investigates the power of deep learning in predicting the severity of injuries when
accidents occur due to traffic on Malaysian highways. Three network architectures based on …
accidents occur due to traffic on Malaysian highways. Three network architectures based on …
[PDF][PDF] Prediction of accident severity using artificial neural networks
FR Moghaddam, S Afandizadeh, M Ziyadi - Int J Civ Eng, 2011 - academia.edu
In spite of significant advances in highways safety, a lot of crashes in high severities still
occur in highways. Investigation of influential factors on crashes enables engineers to carry …
occur in highways. Investigation of influential factors on crashes enables engineers to carry …
Crash severity analysis of highways based on multinomial logistic regression model, decision tree techniques, and artificial neural network: a modeling comparison
G Shiran, R Imaninasab, R Khayamim - Sustainability, 2021 - mdpi.com
The classification of vehicular crashes based on their severity is crucial since not all of them
have the same financial and injury values. In addition, avoiding crashes by identifying their …
have the same financial and injury values. In addition, avoiding crashes by identifying their …
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 …
Identifying significant predictors of injury severity in traffic accidents using a series of artificial neural networks
Understanding the circumstances under which drivers and passengers are more likely to be
killed or more severely injured in an automobile accident can help improve the overall …
killed or more severely injured in an automobile accident can help improve the overall …
Traffic crash severity prediction—A synergy by hybrid principal component analysis and machine learning models
K Assi - International journal of environmental research and …, 2020 - mdpi.com
The accurate prediction of road traffic crash (RTC) severity contributes to generating crucial
information, which can be used to adopt appropriate measures to reduce the aftermath of …
information, which can be used to adopt appropriate measures to reduce the aftermath of …