Author

Can Wang

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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

Preprint Sep 2026

V2X-WAM: A Cooperative World Action Model for End-to-End Autonomous Driving

Experiments on a large-scale real-world cooperative driving dataset demonstrate that V2X-WAM consistently improves planning accuracy and safety over representative end-to-end cooperative driving methods, while achieving stronger future-world prediction and substantially lower communication overhead.

Jun-Wei You, Wei-Zhe Tang, Can Wang et al. · 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