Injury severity prediction of traffic crashes with ensemble machine learning techniques: A comparative study
A better understanding of injury severity risk factors is fundamental to improving crash
prediction and effective implementation of appropriate mitigation strategies. Traditional …
prediction and effective implementation of appropriate mitigation strategies. Traditional …
Day-of-the-week variations and temporal instability of factors influencing pedestrian injury severity in pedestrian-vehicle crashes: A random parameters logit approach …
Using pedestrian-vehicle crash data in North Carolina from 2007 to 2018, this study
explores the potential variation in the influence of factors affecting pedestrian injury severity …
explores the potential variation in the influence of factors affecting pedestrian injury severity …
Transparent deep machine learning framework for predicting traffic crash severity
Abstract Analysis of crash injury severity is a promising research target in highway safety
studies. A better understanding of crash severity risk factors is vital for the proactive …
studies. A better understanding of crash severity risk factors is vital for the proactive …
A multinomial logit model of pedestrian–vehicle crash severity
This article estimated a multinomial logit model to identify the factors determining the
severity of pedestrian–vehicle crashes in South Korea. Our results showed that relative to …
severity of pedestrian–vehicle crashes in South Korea. Our results showed that relative to …
Effect of street pattern on the severity of crashes involving vulnerable road users
Road crashes not only claim lives and inflict injuries but also create an economic burden to
the society due to loss of productivity. Although numerous studies have been conducted to …
the society due to loss of productivity. Although numerous studies have been conducted to …
Ordered logistic models of influencing factors on crash injury severity of single and multiple-vehicle downgrade crashes: A case study in Wyoming
Abstract Introduction: The state of Wyoming, like other western United States, is
characterized by mountainous terrain. Such terrain is well noted for its severe downgrades …
characterized by mountainous terrain. Such terrain is well noted for its severe downgrades …
Investigating the Differences of Single‐Vehicle and Multivehicle Accident Probability Using Mixed Logit Model
Road traffic accidents are believed to be associated with not only road geometric feature
and traffic characteristic, but also weather condition. To address these safety issues, it is of …
and traffic characteristic, but also weather condition. To address these safety issues, it is of …
Analysis of driver injury severity in single-vehicle crashes on rural and urban roadways
This study analyzes driver injury severities for single-vehicle crashes occurring in rural and
urban areas using data collected in New Mexico from 2010 to 2011. Nested logit models …
urban areas using data collected in New Mexico from 2010 to 2011. Nested logit models …
Severity of motorcycle crashes in Calgary
Motorcycle riders would be more vulnerable in the event of a crash because of their lack of
protection which would often result in them suffering more severe injuries than car drivers …
protection which would often result in them suffering more severe injuries than car drivers …
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 …