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Explainable Traffic Flow Prediction with Large Language Models
This paper contributes to advancing explainable traffic prediction models and lays a foundation for future exploration of LLM applications in transportation.
LC-LLM: Explainable Lane-Change Intention and Trajectory Predictions with Large Language Models
To the best of our knowledge, this is the first attempt to utilize LLMs for predicting lane change behavior.
3D Object Detection and Tracking Based on Streaming Data
Recent approaches for 3D object detection have made tremendous progresses due to the development of deep learning.
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