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 …
Determining critical combinations of safety fatality causes using spectral clustering and computational data mining algorithms
R Assaad, IH El-Adaway - Journal of Construction Engineering and …, 2021 - ascelibrary.org
Abstract Although the Occupational Safety and Health Administration (OSHA) has played a
key role in decreasing safety accidents on construction sites, such reduction is not well …
key role in decreasing safety accidents on construction sites, such reduction is not well …
Examining Seasonal Changes in Light-Vehicle Traffic Volume on Freeways Under Extreme Weather Conditions: A Combination of Temporal Statistical and Data …
M Effati, C Atrchian - Transportation Research Record, 2023 - journals.sagepub.com
Today, with the increasing changes in weather patterns and the huge amount of data related
to weather and traffic in different parts of the freeway network, the use of data mining …
to weather and traffic in different parts of the freeway network, the use of data mining …
Identification of the best machine learning model for the prediction of driver injury severity
Predicting the injury severities sustained by drivers engaged in road traffic accidents is a key
topic of research in road traffic safety. The current study analyzed the driver injury severity …
topic of research in road traffic safety. The current study analyzed the driver injury severity …
Modeling driver injury severity using machine learning algorithms
This study planned to predict and analyze the driver injury severity (DIS) using 12 machine
learning (ML) algorithms. Police reports of single-and two-vehicle accidents that occurred …
learning (ML) algorithms. Police reports of single-and two-vehicle accidents that occurred …
Spatio-Temporal Analysis and Severity Analysis using Machine Learning Classifiers for Electric Vehicle Crashes Data of Metro Manila, Philippines
AM SALANG, SF JAVIER, J BALLARTA… - Journal of the Eastern …, 2024 - jstage.jst.go.jp
抄録 This study examines the factors affecting electric vehicle (EV) crash severity in Metro
Manila by utilizing spatio-temporal analysis tools and machine learning classifiers, such as …
Manila by utilizing spatio-temporal analysis tools and machine learning classifiers, such as …
[图书][B] Innovative modeling and management of infrastructure systems, engineering and construction operations, and offsite construction technology using …
RH Assaad - 2021 - search.proquest.com
The construction industry has been facing considerable challenges due to the inadequacy of
the traditional methods in executing, managing, and modeling infrastructure and …
the traditional methods in executing, managing, and modeling infrastructure and …