Author

Yanni Ju

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#reinforcement learning Open access Oct 2026

Event-Triggered Pinning Control for Cooperative Ramp Merging in Mixed Traffic via Graph Reinforcement Learning

This paper proposes event-triggered pinning graph reinforcement learning (EPGRL) for cooperative ramp merging in mixed traffic with connected and automated vehicles (CAVs) and human-driven vehicles. EPGRL represents vehicle interactions as a time-varying directed graph and uses a dual-stream graph encoder with temporal...

Can Wang, Zhi-Yu Wang, Wei-Jie Wang et al. · Systems · 0 citations

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. · Italian National Conference... · 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. · Applied Sciences · 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. · Systems · 0 citations