AI-enabled traffic signals help urban road networks recover faster from disruption
Peer-Reviewed Publication
Updates every hour. Last Updated: 27-Oct-2026 02:16 ET (27-Oct-2026 06:16 GMT/UTC)
A resilience-focused deep reinforcement learning strategy reduced cumulative network performance loss by up to 79.7% relative to conventional signal control in benchmark tests and required up to 45.7% fewer behavioral-adjustment iterations to reach a new equilibrium under severe disruption.
Lakes, often called the 'lungs of the land,' play a fundamental role in the global carbon cycle, acting as significant reservoirs of dissolved organic matter (DOM) and sources of greenhouse gases. Understanding how this vital organic carbon pool responds to environmental changes is crucial, yet large-scale drivers of lake DOM composition and their interaction with climate change have remained poorly understood. A comprehensive study led by Siyue Li from the Wuhan Institute of Technology has provided unprecedented insights into these dynamics across China's diverse lake ecosystems.