Following a successful pilot, DDOT will enhance operations and performance monitoring at more than 1,600 signalized intersections citywide.

Flow Labs announces the launch of FlowMCP a new interface that lets transportation agencies connect their own AI agents to the data and tools in the Flow Platform

Flow Labs announces the commercial release of Optimus Gen2, the next generation of its signal optimization platform powered by Prometheus, a new engine built on transformer architecture purpose-built for signal networks.

New AI-powered capabilities and fully integrated real-time APIs now live at scale, delivering actionable traffic insights across FDOT’s systems

The North Carolina Department of Transportation (NCDOT) has partnered with Flow Labs to deploy its AI-powered traffic signal operations software solution across the state.

A new metric for catching corridor congestion before it spreads.

Georgia DOT has deployed the Flow Platform, including Luminus and Luminus Plus, across 325 signalized intersections around Mercedes-Benz Stadium to support reliable travel for fans, residents, and commuters during FIFA World Cup 26.

National Signal's HS Connect® software now integrates the Flow Labs API for real-time travel time and speed data, powering its Smart Work Zone solutions to improve safety and mobility in work zones nationwide.

The World Cup has brought Mercedes-Benz Stadium its first three matches of the summer, with more to come. Using connected-vehicle data, we tracked what each one did to the streets around it — against a normal weekday, and against the biggest events the city had planned around before.

MCP stands for Model Context Protocol — essentially an API for AI agents. Here's what it means for your agency, and what teams are already doing with FlowMCP today.

National Signal's HS Connect® software is now integrating the Flow API for real-time travel time and speed data, powering its Smart Work Zone solutions to improve safety and mobility in work zones nationwide.

A deep dive into how Optimus Gen2 redesigns the entire signal retiming workflow, from automated data collection and network modeling through optimization, prediction, and post-deployment monitoring.