2 papers
cs.LG2026
TSNN: A Non-parametric and Interpretable Framework for Traffic Time Series Forecasting
Bowen Liu, Haijian Lai, Chan-Tong Lam +4
Although many complex models were proposed to analyze time series data, some studies have demonstrated remarkable performance with simpler structures. A recent study proposed a non…
cs.AI2023
TrTr: A Versatile Pre-Trained Large Traffic Model based on Transformer for Capturing Trajectory Diversity in Vehicle Population
Ruyi Feng, Zhibin Li, Bowen Liu +1
Understanding trajectory diversity is a fundamental aspect of addressing practical traffic tasks. However, capturing the diversity of trajectories presents challenges, particularly…