,

Muitimodal Deep Learning for Estimating the Lane-level Urban Traffic by Fusing Closed Circuit Television and Dedicated Short Range Communication Data

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A Risk Field-based Approach for Driving Risk Assessment: Focusing on the Generaliazed and Real-time Application

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Evaluating the Effects of Sampling Rate in Predicting Traffic Conflicts

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Deep Multimodal Learning for Traffic Speed Prediction Combining Dedicated Short-Range Communication and Vehicle Detection System Data

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Interpretable Machine Learning Model for Traffic Speed Prediction of Urban Road Network Based on XGboost and SHAP