Severity modeling of work zone crashes in New Jersey using machine learning models
Abstract In the United States, the probability of work zone crashes has increased due to an
increase in renovation works by transportation infrastructures. The severity of work zone …
increase in renovation works by transportation infrastructures. The severity of work zone …
[HTML][HTML] Application of unsupervised machine learning classification for the analysis of driver behavior in work zones in the state of Qatar
Work zone areas are commonly known as crash-prone areas. Thus, they usually receive
high priority by road operators as drivers and workers have higher chances of being …
high priority by road operators as drivers and workers have higher chances of being …
[HTML][HTML] Modelling road work zone crashes' nature and type of person involved using multinomial logistic regression
A Vieira, B Santos, L Picado-Santos - Sustainability, 2023 - mdpi.com
The sustainable development goals “Good health and well-being” and “Sustainable cities
and communities” of the United Nations and World Health Organization, alert governments …
and communities” of the United Nations and World Health Organization, alert governments …
[HTML][HTML] Optimizing Sentiment Analysis Models for Customer Support: Methodology and Case Study in the Portuguese Retail Sector
Sentiment analysis is a cornerstone of natural language processing. However, it presents
formidable challenges due to the intricacies of lexical diversity, complex linguistic structures …
formidable challenges due to the intricacies of lexical diversity, complex linguistic structures …
[HTML][HTML] Investigation of Factors Affecting Crash Severity of Rear-End Crashes with High Collision Speeds in Work Zones: A South Carolina Case Study
The aim of this study is to identify factors that affect injury severity levels of work zone rear-
end crashes with high collision speeds (⩾ 35 mi/hr). Using statewide crash data provided by …
end crashes with high collision speeds (⩾ 35 mi/hr). Using statewide crash data provided by …
Factors associated with work zone crashes
HJ Mohammed, YI Chang… - Transportation research …, 2023 - journals.sagepub.com
Nationally, the annual number of fatal crashes in work zones over the past decade (2010–
2019) increased from 521 to 762, which led to rising fatalities from 546 in 2010 to 842 in …
2019) increased from 521 to 762, which led to rising fatalities from 546 in 2010 to 842 in …
[HTML][HTML] Classification of traffic accidents' factors using TrafficRiskClassifier
W Sun, LN Abdullah, F binti Khalid… - International Journal of …, 2024 - Elsevier
The TrafficRiskClassifier model introduced in this study adopts an innovative approach that
incorporates migration learning, image classification, and self-supervised learning, aiming to …
incorporates migration learning, image classification, and self-supervised learning, aiming to …
Assessing the effects of geometry and non-geometry related factors in work-zone crashes
M Islam - Traffic injury prevention, 2024 - Taylor & Francis
Objective Work zones are unique in geometry and traffic management, utilizing special traffic
signs, standard channelizing devices, appropriate barriers, and pavement markings. These …
signs, standard channelizing devices, appropriate barriers, and pavement markings. These …
[HTML][HTML] Health and safety in temporary work zone road construction project in Saudi Arabia: risks and solutions
SM Alsultan, FK Alqahtani, KF Alkahtani - International journal of …, 2022 - mdpi.com
Road project sites are dangerous and crash-prone, with many hazards that can cause
injuries and can result in the deaths of road users or site-workers. Work zones for road …
injuries and can result in the deaths of road users or site-workers. Work zones for road …
[HTML][HTML] Meta-feature-based traffic accident risk prediction: a novel approach to forecasting severity and incidence
W Sun, LN Abdullah, P Suhaiza Sulaiman, F Khalid - Vehicles, 2024 - mdpi.com
This study aims to improve the accuracy of predicting the severity of traffic accidents by
developing an innovative traffic accident risk prediction model—StackTrafficRiskPrediction …
developing an innovative traffic accident risk prediction model—StackTrafficRiskPrediction …