A literature review of machine learning algorithms for crash injury severity prediction

K Santos, JP Dias, C Amado - Journal of safety research, 2022 - Elsevier
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 …

The statistical analysis of highway crash-injury severities: A review and assessment of methodological alternatives

PT Savolainen, FL Mannering, D Lord… - Accident Analysis & …, 2011 - Elsevier
Reducing the severity of injuries resulting from motor-vehicle crashes has long been a
primary emphasis of highway agencies and motor-vehicle manufacturers. While progress …

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 …

Analytic methods in accident research: Methodological frontier and future directions

FL Mannering, CR Bhat - Analytic methods in accident research, 2014 - Elsevier
The analysis of highway-crash data has long been used as a basis for influencing highway
and vehicle designs, as well as directing and implementing a wide variety of regulatory …

Temporal stability of factors influencing driver-injury severities in single-vehicle crashes: A correlated random parameters with heterogeneity in means and variances …

C Se, T Champahom, S Jomnonkwao… - Analytic methods in …, 2021 - Elsevier
Undoubtedly, single-vehicle crashes remain a major concern for roadway users and
highway administrators, especially in low-and middle-income developing countries, where …

Injury severity prediction of traffic crashes with ensemble machine learning techniques: A comparative study

A Jamal, M Zahid, M Tauhidur Rahman… - … journal of injury …, 2021 - Taylor & Francis
A better understanding of injury severity risk factors is fundamental to improving crash
prediction and effective implementation of appropriate mitigation strategies. Traditional …

Highway accident severities and the mixed logit model: An exploratory empirical analysis

JC Milton, VN Shankar, FL Mannering - Accident Analysis & Prevention, 2008 - Elsevier
Many transportation agencies use accident frequencies, and statistical models of accidents
frequencies, as a basis for prioritizing highway safety improvements. However, the use of …

Injury severities of truck drivers in single-and multi-vehicle accidents on rural highways

F Chen, S Chen - Accident Analysis & Prevention, 2011 - Elsevier
In adverse driving conditions, such as inclement weather and/or complex terrain, trucks are
often involved in single-vehicle (SV) accidents in addition to multi-vehicle (MV) accidents …

Investigating driver injury severity patterns in rollover crashes using support vector machine models

C Chen, G Zhang, Z Qian, RA Tarefder… - Accident Analysis & …, 2016 - Elsevier
Rollover crash is one of the major types of traffic crashes that induce fatal injuries. It is
important to investigate the factors that affect rollover crashes and their influence on driver …

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 …