University District MICMA Intelligent Transportation Corridor

🤖 AI-generated summary of the sources below · 🔎 Last verified

This overview was generated with AI from the public sources listed below and checked against them before publication. It has not had a complete human fact-check — treat it as a starting point and follow the sources.

How this atlas is made · What “last verified” means · What “source-checked” means

Seattle's Department of Transportation modernized 40 traffic signals across the University District under MICMA (Multimodal Integrated Corridor — Mobility for All), a $4.09M federally funded programme completed in 2025. It added transit signal priority, bike detection and accessible pedestrian signals, and ran a peer-to-peer adaptive system at six signals on 15th Avenue NE that retimes lights from live traffic data.

Live 📅 since 2017
Evidence🏛️ Officialgrades the sourcing — this entry states no impact figure
what does this mean?The strongest source is the operator's or the city's own reporting — an official report, dataset or press release. It grades who did the looking — not how well the project went. All four grades →
Scale🏘️ District

🎓 Lesson

The adaptive-signal layer was a deliberately small pilot — six intersections on one corridor — bolted onto a broader signal-modernization grant, not a citywide adaptive rollout.

Sources

↗ SDOT — University District Transportation Technology & Safety ImprovementsOperator page: 40 signals, seven technologies, peer-to-peer adaptive at six signals on 15th Ave NE, completed 2025
↗ FHWA — $4M ATCMTD grant to SeattleFederal award announcement, 4 Oct 2017, MICMA
↗ US Ignite / FHWA ATCMTD funding recordExact grant figure: $4,091,000 to City of Seattle DOT
📎 Cite this project

1001 Smart Cities (2026). “University District MICMA Intelligent Transportation Corridor” — Seattle, United States. The Smart City Atlas. https://1001smartcities.org/projects/seattle-udistrict-micma/ (last verified 2026-07-19). Data: CC BY 4.0.

The underlying data is free to reuse with attribution — see the open data page.

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