[HTML][HTML] Advances, challenges, and future research needs in machine learning-based crash prediction models: A systematic review
Accurately modelling crashes, and predicting crash occurrence and associated severities
are a prerequisite for devising countermeasures and developing effective road safety …
are a prerequisite for devising countermeasures and developing effective road safety …
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 …
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 multilayer perceptron neural network with selective‐data training for flight arrival delay prediction
H Alla, L Moumoun, Y Balouki - Scientific Programming, 2021 - Wiley Online Library
Flight delay is the most common preoccupation of aviation stakeholders around the world.
Airlines, which suffer from a monetary and customer loyalty loss, are the most affected …
Airlines, which suffer from a monetary and customer loyalty loss, are the most affected …
Exploring the injury severity risk factors in fatal crashes with neural network
A better understanding of circumstances contributing to the severity outcome of traffic
crashes is an important goal of road safety studies. An in-depth crash injury severity analysis …
crashes is an important goal of road safety studies. An in-depth crash injury severity analysis …
Machine learning-based models for accident prediction at a Korean container port
The occurrence of accidents at container ports results in damages and economic losses in
the terminal operation. Therefore, it is necessary to accurately predict accidents at container …
the terminal operation. Therefore, it is necessary to accurately predict accidents at container …
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 …
Real-time framework to predict crash likelihood and cluster crash severity
This study proposes a three-stage framework for real-time crash likelihood and severity
prediction. Firstly, a real-time crash likelihood prediction model was developed. Secondly, a …
prediction. Firstly, a real-time crash likelihood prediction model was developed. Secondly, a …
Investigating the effect of road condition and vacation on crash severity using machine learning algorithms
M Almannaa, MN Zawad, M Moshawah… - … journal of injury …, 2023 - Taylor & Francis
Investigating the contributing factors to traffic crash severity is a demanding topic in research
focusing on traffic safety and policies. This research investigates the impact of 16 roadway …
focusing on traffic safety and policies. This research investigates the impact of 16 roadway …
Predicting hospital admissions to reduce crowding in the emergency departments
Having an increasing number of patients in the emergency department constitutes an
obstacle to the admissions process and hinders the emergency department (ED)'s ability to …
obstacle to the admissions process and hinders the emergency department (ED)'s ability to …