,

VLAAD: Vision and Language Assistant for Autonomous Driving

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Rethinking Traffic Speed Prediction with Traffic Flow-Aware Graph Attention Networks

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Developing Lane-changing Strategy of Autonomous Vehicles Based on Deep Reinforcement Learning Using Long-range Information for Mitigating Traffic Congestion

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Calibration and Validation of the Rule-based Human Driver Model for Roundabout Car-following Behaviors Using Naturalistic Driving Data

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Vulnerability Assessment of Origin-Destination Pairs for Elderly Subway Users Using Smartcard Data