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Author

Yanni Ju

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Open access Aug 2026

Cold-Start Traffic State Forecasting at Unseen Sensor Locations via Support-Conditioned Meta-Graph Learning

Support-conditioned sensor-adaptive meta-graph learning (SC-SAMG) is proposed, which derives target-node representations and spatial dependencies from a short support period and consistently outperforms fine-tuned gated recurrent unit (GRU), adaptive graph convolutional recurrent network (AGCRN), and diffusion convolut...

Can Wang, Zhiyu Wang, Weijie Wang 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
Open access Aug 2026

Key Node Identification in Transportation Networks Based on the K-Shell Algorithm: Applications in Traffic Flow Prediction

The results highlight the robustness and versatility of the proposed framework in real-world traffic scenarios, demonstrating its potential to enhance prediction accuracy and scalability through key-node identification and selective coverage analysis.

Jing Gan, Dongmei Yan, Yue Wang et al. · 0 citations

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