Classification of truck-involved crash severity: Dealing with missing, imbalanced, and high dimensional safety data
While the cost of road traffic fatalities in the US surpasses $240 billion a year, the availability
of high-resolution datasets allows meticulous investigation of the contributing factors to …
of high-resolution datasets allows meticulous investigation of the contributing factors to …
Prediction of truck-involved crash severity on a rural mountainous freeway using transfer learning with resnet-50 deep neural network
Crashes involving heavy trucks on rural mountainous freeways are known to result in severe
injuries and fatalities, particularly under challenging driving conditions. This study aims to …
injuries and fatalities, particularly under challenging driving conditions. This study aims to …
Analysis of factors contributing to the severity of large truck crashes
Crashes that involved large trucks often result in immense human, economic, and social
losses. To prevent and mitigate severe large truck crashes, factors contributing to the …
losses. To prevent and mitigate severe large truck crashes, factors contributing to the …
Classification of motor vehicle crash injury severity: A hybrid approach for imbalanced data
This study aims to classify the injury severity in motor-vehicle crashes with both high
accuracy and sensitivity rates. The dataset used in this study contains 297,113 vehicle …
accuracy and sensitivity rates. The dataset used in this study contains 297,113 vehicle …
Commercial truck crash injury severity analysis using gradient boosting data mining model
Introduction Truck crashes contribute to a large number of injuries and fatalities. This study
seeks to identify the contributing factors affecting truck crash severity using 2010 to 2016 …
seeks to identify the contributing factors affecting truck crash severity using 2010 to 2016 …
Applying machine learning approaches to analyze the vulnerable road-users' crashes at statewide traffic analysis zones
Introduction: In this paper, we present machine learning techniques to analyze pedestrian
and bicycle crash by developing macro-level crash prediction models. Methods: We …
and bicycle crash by developing macro-level crash prediction models. Methods: We …
Comparing factors affecting injury severity of passenger car and truck drivers
B Zhou, X Wang, S Zhang, Z Li, S Sun, K Shu… - IEEE …, 2020 - ieeexplore.ieee.org
This study aims to explore factors affecting passenger car and truck driver injury severity in
passenger car-truck crashes. Police-reported crash data from 2007 to 2017 in Canada are …
passenger car-truck crashes. Police-reported crash data from 2007 to 2017 in Canada are …
A machine-learning method for improving crash injury severity analysis: a case study of work zone crashes in Cairo, Egypt
M Yahaya, W Fan, C Fu, X Li, Y Su… - International journal of …, 2020 - Taylor & Francis
The quality of vehicular collision data is crucial for studying the relationship between injury
severity and collision factors. Misclassified injury severity data in the crash dataset, however …
severity and collision factors. Misclassified injury severity data in the crash dataset, however …
Efficient histogram-based gradient boosting approach for accident severity prediction with multisource data
M Tamim Kashifi, I Ahmad - Transportation research record, 2022 - journals.sagepub.com
Many people lose their lives in road accidents because they do not receive timely treatment
after the accident from emergency medical services; providing timely emergency services …
after the accident from emergency medical services; providing timely emergency services …
Large truck fatal crash severity segmentation and analysis incorporating all parties involved: A Bayesian network approach
Studies on fatal crashes involving large trucks are typically focused on the examination of
injury severity at the personal level rather than the crash level. In this study, instead of …
injury severity at the personal level rather than the crash level. In this study, instead of …