Peng-Yuan Sun

Field Implementation and Operational Validation of a Decentralized Graph-Based Multi-Agent Reinforcement Learning Traffic-Signal Controller on a Smart Corridor

Adaptive traffic-signal control can respond to stochastic and directionally asymmetric demand, but transferring reinforcement-learning controllers from simulation to live infrastructure requires integration with real sensing, controller timing, pedestrian service, communication, and actuation constraints. This paper pr...

Least-squares one-way wave-equation migration with matrix-decomposition propagation and sparse denoising regularization

Conventional one-way wave-equation migration methods often suffer from phase errors, amplitude distortions, and low-amplitude artifacts in the presence of strong lateral velocity variations, complex structures, and noisy data. To address these problems, we propose a sparse-denoising-constrained least-squares one-way wa...

A Decentralized Traffic Signal Control Framework Using Multiagent Reinforcement Learning With Real-World Operational Constraints