As robot taxi increasingly share roads with human drivers, creating human-like driving agents has emerged as a promising approach for seamless integration into mixed-autonomy environments. Achieving effective vehicle human interaction […]
Transportation planning plays a vital role in developing efficient and sustainable transportation systems to meet the evolving needs of communities. As technology advances, the field of transportation planning could benefit […]
Trustworthy LLM for traffic forecasting, advances explainable deep and generative models that fuse multimodal sensing with traffic theory to forecast congestion and freight bottlenecks in real time, laying the groundwork […]
Predicting expected traffic crashes and designing targeted interventions are highly challenging due to the inherent complexity of crash data and persistent concerns over the prediction trustworthiness. We introduce SafeTraffic Copilot that […]