Flow Labs Launches AI-Powered Signal Retiming Tool Optimus Gen2

Why It Matters

By slashing the time and cost of signal retiming, Optimus Gen2 enables transportation agencies to update timing plans more frequently, directly reducing congestion and improving safety. Faster, data‑driven decisions also help municipalities keep pace with shifting traffic patterns and new development pressures.

Key Takeaways

• Optimus Gen2 cuts retiming time from months to minutes
• Built on Flow Labs' Prometheus AI engine using transformer architecture
• Enables network-wide timing, coordination, and safety optimisation
• Uses connected‑vehicle data, no new field hardware required
• Already deployed with US and Canadian transportation agencies

Pulse Analysis

Signal retiming has long been a bottleneck for traffic engineers, often requiring months of field surveys, manual model calibration and costly staffing. The result is a retiming cycle that can stretch three to five years, leaving many intersections operating on outdated timing plans. Optimus Gen2 tackles this legacy challenge by automating the entire workflow, delivering network‑wide timing adjustments in minutes. This speed not only reduces operational expenses but also allows agencies to respond to real‑time traffic shifts, seasonal demand spikes, and new land‑use developments with unprecedented agility.

At the heart of Optimus Gen2 is Flow Labs' Prometheus engine, a transformer‑based artificial intelligence system that ingests high‑penetration connected‑vehicle data to learn traffic patterns across corridors and intersections. Unlike traditional simulation tools that rely on theoretical assumptions, Prometheus builds models directly from observed driver behaviour, producing timing recommendations that reflect actual conditions. The platform’s ability to predict the impact of timing changes before deployment further de‑risks the process, giving engineers confidence that adjustments will improve flow and safety without unintended consequences.

The commercial release arrives as cities and states grapple with aging infrastructure and rising congestion costs. Early adopters report significant reductions in engineering labor and faster project turnaround, positioning Optimus Gen2 as a catalyst for more frequent retiming cycles. As AI adoption accelerates in transportation, tools like Optimus Gen2 could become standard practice, reshaping how agencies manage signal networks and delivering measurable benefits in travel time, emissions and roadway safety.