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 …
A review of incident prediction, resource allocation, and dispatch models for emergency management
In the last fifty years, researchers have developed statistical, data-driven, analytical, and
algorithmic approaches for designing and improving emergency response management …
algorithmic approaches for designing and improving emergency response management …
Using ordered and unordered logistic regressions to investigate risk factors associated with pedestrian crash injury severity in Victoria, Australia
Introduction: The safety of pedestrians is a major concern in Victoria, Australia. Despite the
considerable number of pedestrian fatalities and injuries in traffic crashes, a limited number …
considerable number of pedestrian fatalities and injuries in traffic crashes, a limited number …
Does long-term exposure to air pollution impair physical and mental health in the middle-aged and older adults?—A causal empirical analysis based on a longitudinal …
K Ju, L Lu, T Chen, Z Duan, D Chen, W Liao… - Science of The Total …, 2022 - Elsevier
The world is aging, posing a challenge to public health. Air pollution is increasingly
recognized as an important environmental risk factor, with effects on both physical and …
recognized as an important environmental risk factor, with effects on both physical and …
Hybrid feature selection-based machine learning Classification system for the prediction of injury severity in single and multiple-vehicle accidents
To undertake a reliable analysis of injury severity in road traffic accidents, a complete
understanding of important attributes is essential. As a result of the shift from traditional …
understanding of important attributes is essential. As a result of the shift from traditional …
Factors affecting crash severity among elderly drivers: a multilevel ordinal logistic regression approach
M Alrumaidhi, HA Rakha - Sustainability, 2022 - mdpi.com
This study modeled the crash severity of elderly drivers using data from the state of Virginia,
United States, for the period of 2014 through to 2021. The impact of several exogenous …
United States, for the period of 2014 through to 2021. The impact of several exogenous …
Exploring factors associated with crash severity on motorways in Pakistan
The enormous loss of life, as well as economic loss, incurred by road traffic crashes means
that rigorous research efforts, especially in developing countries, are needed to investigate …
that rigorous research efforts, especially in developing countries, are needed to investigate …
Evaluation of user perception to define level of service criteria of rail road grade crossing: An exploratory statistical approach
Acquiring a clear insight into road users' perception of level of service (LOS) at rail road
grade crossings (RRGCs) can be beneficial for the development of strategies for creating a …
grade crossings (RRGCs) can be beneficial for the development of strategies for creating a …
COVID-19 and injury severity of drivers involved in run-off-road crashes: analyzing the impact of contributing factors
S Mokhtarimousavi, AE Kitali… - Transportation …, 2022 - journals.sagepub.com
This study examined the relationship between the lockdown during the COVID-19 pandemic
and the severity of injuries sustained by drivers involved in run-off-road (ROR) crashes. A …
and the severity of injuries sustained by drivers involved in run-off-road (ROR) crashes. A …
Analyzing injury severity of rear-end crashes involving large trucks using a mixed logit model: A case study in North Carolina
P Liu, W Fan - Journal of Transportation Safety & Security, 2022 - Taylor & Francis
As one of the most frequently occurring crashes, rear-end crashes often result in injuries and
property damage, especially when large trucks are involved. To investigate the contributing …
property damage, especially when large trucks are involved. To investigate the contributing …