Benchmarking LLM-Based Time-Series Foundation Models for Minute-Resolution Turning-Movement Traffic Dynamics on an Urban Arterial
Large language models (LLMs) and time-series foundation models have advanced traffic forecasting, but almost exclusively on freeway sensors at five-minute, aggregate-flow resolution; their behavior on minute-resolution, movement-level counts at signalized arterials is unknown. This study assembled a real corridor datas...