[HTML][HTML] Machine learning applied to road safety modeling: A systematic literature review
Road safety modeling is a valuable strategy for promoting safe mobility, enabling the
development of crash prediction models (CPM) and the investigation of factors contributing …
development of crash prediction models (CPM) and the investigation of factors contributing …
Science fiction or clinical reality: a review of the applications of artificial intelligence along the continuum of trauma care
OF Hunter, F Perry, M Salehi, H Bandurski… - World Journal of …, 2023 - Springer
Artificial intelligence (AI) and machine learning describe a broad range of algorithm types
that can be trained based on datasets to make predictions. The increasing sophistication of …
that can be trained based on datasets to make predictions. The increasing sophistication of …
[HTML][HTML] A study on road accident prediction and contributing factors using explainable machine learning models: analysis and performance
Road accidents are increasing worldwide and are causing millions of deaths each year.
They impose significant financial and economic expenses on society. Existing research has …
They impose significant financial and economic expenses on society. Existing research has …
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 …
[HTML][HTML] Evaluating expressway traffic crash severity by using logistic regression and explainable & supervised machine learning classifiers
JPSS Madushani, RMK Sandamal… - Transportation …, 2023 - Elsevier
The number of expressway road accidents in Sri Lanka has significantly increased (by 20%)
due to the expansion of the transport network and high traffic volume. It is crucial to identify …
due to the expansion of the transport network and high traffic volume. It is crucial to identify …
Differences of overturned and hit-fixed-object crashes on rural roads accompanied by speeding driving: Accommodating potential temporal shifts
Overturned crashes are associated with a disproportionate number of severe injuries and
fatalities, while hit-fixed-object crashes are acknowledged as the most frequent single …
fatalities, while hit-fixed-object crashes are acknowledged as the most frequent single …
Temporal stability of the impact of factors determining drivers' injury severities across traffic barrier crashes in mountainous regions
D Song, X Yang, PC Anastasopoulos, X Zu… - Analytic methods in …, 2023 - Elsevier
Traffic barrier crashes have been a major concern in many prior studies in traffic safety
literature, especially in the crash-prone sections of mountainous regions. However, the effect …
literature, especially in the crash-prone sections of mountainous regions. However, the effect …
[HTML][HTML] Assessment of the level of road crash severity: comparison of intelligence studies
In measuring road safety, accident severity is a key concern. Crash severity prediction
models inform researchers about the severity of a crash based on a variety of criteria. To …
models inform researchers about the severity of a crash based on a variety of criteria. To …
A fuzzy-logic approach based on driver decision-making behavior modeling and simulation
AIM Almadi, RE Al Mamlook, Y Almarhabi, I Ullah… - Sustainability, 2022 - mdpi.com
The present study proposes a decision-making model based on different models of driver
behavior, aiming to ensure integration between road safety and crash reduction based on …
behavior, aiming to ensure integration between road safety and crash reduction based on …