Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6966672 | Accident Analysis & Prevention | 2013 | 8 Pages |
Abstract
⺠We introduce support vector machine models to perform real-time crash risk evaluation. ⺠SVM models with different kernel functions were compared with logistic regression models. ⺠Hierarchical Bayesian logistic regression models were used to capture unobserved heterogeneity. ⺠Extension analyses about the explanatory variables used in the SVM models have been conducted.
Keywords
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Authors
Rongjie Yu, Mohamed Abdel-Aty,