Author

Tao Wang

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Nov 2026

Deep Reinforcement Learning Approach for Joint Pricing and Charging in AEV Ride-Hailing Systems

Ride-hailing services using autonomous electric vehicles (AEVs) at transportation hubs face strong demand fluctuations and limited charging resources. During peak periods, pricing decisions directly affect passenger demand, while charging decisions determine vehicle availability. Treating these two decisions independ...

Lin-Lin Zang, Tao Wang, Jun He et al. · Journal of Transportation En... · 0 citations

#reinforcement learning Open access Sep 2026

Adaptive Scheduling of Public Electric Vehicle Fast-Charging Stations Based on State-Aware Multi-Agent Reinforcement Learning

Empirical comparisons show that PUI-MAPPO (multi-agent proximal policy optimization) achieves the best performance among all PUI-enhanced variants, and ablation studies further validate the individual effectiveness of the PUI urgency mechanism, the dynamic threshold framework, and the adaptive reward function.

Zhi-Feng Wang, Guang-Wei Deng, Tao Wang et al. · Energies · 0 citations