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08/01/2023
A Novel Temporal Multi-Gate Mixture-of-Experts Approach for Vehicle Trajectory and Driving Intention Prediction
Accurate Vehicle Trajectory Prediction is critical for automated vehicle...
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07/28/2023
A Comparative Analysis of Machine Learning Methods for Lane Change Intention Recognition Using Vehicle Trajectory Data
Accurately detecting and predicting lane change (LC)processes can help a...
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04/25/2023
A Unified Approach to Lane Change Intention Recognition and Driving Status Prediction through TCN-LSTM and Multi-Task Learning Models
Lane change (LC) is a continuous and complex operation process. Accurate...
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03/21/2023
Investigating the spatial heterogeneity of factors influencing speeding-related crash severities using correlated random parameter order models with heterogeneity-in-means
Speeding has been acknowledged as a critical determinant in increasing t...
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03/21/2023
