[HTML][HTML] Assessment of the level of road crash severity: comparison of intelligence studies
In measuring road safety, accident severity is a key concern. Crash severity prediction
models inform researchers about the severity of a crash based on a variety of criteria. To …
models inform researchers about the severity of a crash based on a variety of criteria. To …
Predicting road crash severity using classifier models and crash hotspots
The rapid increase in traffic volume on urban roads, over time, has altered the global traffic
scenario. Additionally, it has increased the number of road crashes, some of which are …
scenario. Additionally, it has increased the number of road crashes, some of which are …
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 …
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 …
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 …
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 …
[HTML][HTML] A review on neural network techniques for the prediction of road traffic accident severity
The occurrence rate of death and injury due to road traffic accidents is rising increasingly
globally day by day. For several decades, the focus of research has been on getting a …
globally day by day. For several decades, the focus of research has been on getting a …
Presentation of machine learning approaches for predicting the severity of accidents to propose the safety solutions on rural roads
The aim of the current research was to develop models to predict the severity of accidents on
rural roads in Tehran province, Iran. In this regard, using accident data from 2017 to 2020 …
rural roads in Tehran province, Iran. In this regard, using accident data from 2017 to 2020 …
[PDF][PDF] A neural network (NN) model to predict intersection crashes based upon driver, vehicle and roadway surface characteristics
In this paper, a neural network (NN) model was developed to predict intersection crashes in
Macomb County of the State of Michigan (MI), USA. The predictive capability of the NN …
Macomb County of the State of Michigan (MI), USA. The predictive capability of the NN …
Advanced accident prediction models and impacts assessment
F Galatioto, M Catalano, N Shaikh… - IET Intelligent …, 2018 - Wiley Online Library
This study presents an innovative set of models for accident prediction which are at the core
of a web‐based platform for road safety simulation and predictions. Specifically, insights into …
of a web‐based platform for road safety simulation and predictions. Specifically, insights into …