PCA-based missing information imputation for real-time crash likelihood prediction under imbalanced data
نویسندگان
چکیده
منابع مشابه
PCA-Based Missing Information Imputation for Real-Time Crash Likelihood Prediction Under Imbalanced Data
The real-time crash likelihood prediction has been an important research topic. Various classifiers, such as support vector machine (SVM) and tree-based boosting algorithms, have been proposed in traffic safety studies. However, few research focuses on the missing data imputation in real-time crash likelihood prediction, although missing values are commonly observed due to breakdown of sensors ...
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ژورنال
عنوان ژورنال: Transportmetrica A: Transport Science
سال: 2018
ISSN: 2324-9935,2324-9943
DOI: 10.1080/23249935.2018.1542414