AI Medical Compendium Journal:
International journal of injury control and safety promotion

Showing 11 to 14 of 14 articles

Development of pedestrian crash prediction model for a developing country using artificial neural network.

International journal of injury control and safety promotion Jul 4, 2019
Urban intersections in India constitute a significant share of pedestrian fatalities. However, model-based prediction of pedestrian fatalities is still in a nascent stage in India. This study proposes an artificial neural network (ANN) technique to d...
Humans Neural Networks, Computer Risk Factors Environment Design Bayes Theorem Developing Countries Pedestrians Accidents, Traffic Safety
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Predictability and interpretability of hybrid link-level crash frequency models for urban arterials compared to cluster-based and general negative binomial regression models.

International journal of injury control and safety promotion Feb 24, 2017
Machine learning (ML) techniques have higher prediction accuracy compared to conventional statistical methods for crash frequency modelling. However, their black-box nature limits the interpretability. The objective of this research is to combine bot...
Humans Machine Learning Forecasting Cities Environment Design Cluster Analysis Models, Statistical Regression Analysis Data Interpretation, Statistical Accidents, Traffic Binomial Distribution
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Clustering-based classification of road traffic accidents using hierarchical clustering and artificial neural networks.

International journal of injury control and safety promotion Sep 8, 2016
Artificial neural networks (ANNs) have been widely used in predicting the severity of road traffic crashes. All available information about previously occurred accidents is typically used for building a single prediction model (i.e., classifier). Too...
Humans Neural Networks, Computer Forecasting Female Young Adult Adult Male Middle Aged Adolescent ROC Curve Cluster Analysis Area Under Curve Accidents, Traffic United Arab Emirates Wounds and Injuries Trauma Severity Indices
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Prediction of road traffic death rate using neural networks optimised by genetic algorithm.

International journal of injury control and safety promotion Dec 4, 2013
Road traffic injuries (RTIs) are realised as a main cause of public health problems at global, regional and national levels. Therefore, prediction of road traffic death rate will be helpful in its management. Based on this fact, we used an artificial...
Humans Neural Networks, Computer Algorithms Forecasting Models, Statistical Accidents, Traffic Wounds and Injuries
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