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Wanqiu Li

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Open access Aug 2026

Frequency-Guided Dynamic Hypergraph Learning for Traffic Flow Forecasting

Accurate traffic flow forecasting requires modeling both stable macroscopic dependencies and abrupt local fluctuations in complex road networks. Existing spatiotemporal forecasting models usually learn spatial structures from raw time-domain traffic signals, where low-frequency trends and high-frequency fluctuations ar...

Wanqiu Li, Bin Wang, Gang Li et al. · 0 citations
Open access Aug 2026

A Multidimensional Framework for Traffic Accident Consequence Prediction: Integrating Multi-Objective Optimization, Explainable AI, and Causal Inference

This study develops an integrated framework combining multi-output prediction, NSGA-II multi-objective optimization, SHAP-based interpretation, LOWESS nonlinear analysis, and DirectLiNGAM causal inference that provides evidence for multidimensional accident-consequence category prediction and differentiated traffic saf...

Yanni Ju, Wanqiu Li, Di Tang et al. · 0 citations

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