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Predicting Highway–Rail Grade Crossing Collision Risk by Neural Network Systems
Publisher: American Society of Civil Engineers
Abstract: In this paper, train-vehicle crash risk at highway–rail grade crossings (HRGCs) is analyzed with a neural network (NN) model to return meaningful rankings of crash-contributory-variable importance based on different criteria, ...