Da-Lei Wu

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...

ActiveGPR: Multi-Scale Geometric Reasoning for Adaptive Subsurface Sensing and Imaging

Subsurface pipe mapping with ground penetrating radar (GPR) remains challenging because overlapping pipe structures interfere with reflected signals and degrade reconstruction quality, while blind or grid-based scanning wastes measurements in sparse environments. We propose ActiveGPR, a unified framework for adaptive s...

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