Surtrac AI Traffic Signals
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.
14 sourced claims on this page, none individually verified yet — turn on “Sources in the text” to see each one.
How this atlas is made · What “last verified” means · What “source-checked” means · The full record behind this page
There is no central traffic brain here: each signal negotiates with its neighbours. An outside study found fewer stops and steadier trips — not the developer's uniform ~25% cut.
what does this mean?
The strongest source behind this entry is an independent peer-reviewed or academic study. It grades who did the looking — not how well the project went. All four grades →Part of 1001 Smart Cities — 1,216 documented projects · 🏙️ Pittsburgh city profile · 🚦 Traffic management guide · 🚲 Mobility projects
Born at Carnegie Mellon: decentralised AI traffic lights that negotiate with neighbours in real time, each optimising its own intersection. In CMU's East Liberty pilot they cut travel times ~25% and idling over 40%. By 2016 the network spanned 50 Pittsburgh intersections; Rapid Flow Technologies, the CMU spinout selling Surtrac, was acquired by Miovision in 2022.
📊 Impact
CMU-reported East Liberty pilot (9 intersections, 2012): ~25% shorter travel times, over 40% less idling and ~21% lower emissions — research-team figures, not independently audited. An outside peer-reviewed study of a 23-intersection corridor, with the system switched on and off, found significant reductions in stops and better travel-time reliability, but travel-time gains only in the westbound peaks and a significant midday speed drop on one street. In 2022 the city planned adaptive signals at close to 150 intersections along eight 'Smart Spines' corridors; no source since says how many run today.
Sources
Show 2 more sourcesShow fewer
📅 How old is the evidence?
Two clocks, kept apart: when this entry’s sources were published, and what has happened to its record in the atlas. Documented span: since 2012. 5 of 7 sources carry a publication date, from 17 October 2016 to 12 October 2022.
When the sources were published
- IEEE Spectrum · pressIEEE Spectrum (press)
- NEXTpittsburgh · pressNEXTpittsburgh — $30 million smart-signal plan (press)
- Taylor & Francis · researchKhattak, Magalotti & Fontaine, Journal of Intelligent Transportation Systems (peer-reviewed)
- Route Fifty · pressRoute Fifty — Smart Spines (press)
- BetaKit · pressBetaKit — Miovision acquires Rapid Flow (press)
Show your work What this page rests on and what it can’t tell you · all 14 claims with their sources · the forensic record
Evidence file · public beta 14 addressable claims, 7 source dossiers, one permanent baseline. The file is unreviewed — an AI-assisted structural migration, not a human or expert endorsement. Every revision keeps a permanent copy under revision history.
Inspect the claims, one by one — verbatim text, sources and caveats for all 14
The text below is copied verbatim from the published record. Each claim names the source dossiers that carry it; caveats stay attached to the claim they qualify.
clm-73fded42b67a6641
descriptive
Born at Carnegie Mellon
Sources carrying this claim
clm-dfdfb88da4f6e3fb
descriptive
decentralised AI traffic lights that negotiate with neighbours in real time, each optimising its own intersection
Sources carrying this claim
clm-085e923fc8a22506
quantitative
In CMU's East Liberty pilot they cut travel times ~25% and idling over 40%
Sources carrying this claim
clm-d4f947735e23b1e5
quantitative
By 2016 the network spanned 50 Pittsburgh intersections
Sources carrying this claim
clm-ca080648f71213b5
quantitative
Rapid Flow Technologies, the CMU spinout selling Surtrac, was acquired by Miovision in 2022
Sources carrying this claim
clm-b74c6dfb02f5a2b2
quantitative
CMU-reported East Liberty pilot (9 intersections, 2012)
Sources carrying this claim
clm-3446877e99b51641
quantitative
~25% shorter travel times, over 40% less idling and ~21% lower emissions — research-team figures, not independently audited
Sources carrying this claim
clm-10fb27203586c229
quantitative
An outside peer-reviewed study of a 23-intersection corridor, with the system switched on and off, found significant reductions in stops and better travel-time reliability
Sources carrying this claim
clm-d8fb84f42f746af4
descriptive
but travel-time gains only in the westbound peaks and a significant midday speed drop on one street
Sources carrying this claim
clm-e398ca1ee52c7099
quantitative
In 2022 the city planned adaptive signals at close to 150 intersections along eight 'Smart Spines' corridors
Sources carrying this claim
clm-c3e5ef8d4718a6f9
descriptive
no source since says how many run today
Sources carrying this claim
clm-08ff1f88920c7dc0
descriptive
Check a developer's headline against a switched-off comparison
Sources carrying this claim
clm-e7a9f7a5c55e9dcd
quantitative
Surtrac's ~25% came from before-and-after drive runs
Sources carrying this claim
clm-4e5f325b1af6bb0b
descriptive
while the independent on/off study found the gains concentrated in fewer stops and steadier trips rather than uniformly shorter journeys
Sources carrying this claim
Forensic record — source dossiers, gaps, hashes and the exact revision this page renders
This layer records what is known about each source, what is still missing, and the exact snapshot this page is rendering. A missing date, archive or hash stays visible as missing.
Awaiting operator and domain-expert review; publication of this revision implies neither.
sha256:a4e00411d662661a6d3c0605be74aa8acc7a6c7a1e88a87e32726b94f9fed270
- 14
- of 14 claims mapped
- 7
- source dossiers
- 5
- publication dates recorded
- 0
- archives linked
- 0
- exact locators
- 0
- content captures hashed
Governance facts carried by the record
- Operator
- Rapid Flow Technologies / Miovision (Carnegie Mellon spinout)
- Actor types
- private
- Funding model
- public
- Funding description
- Not recorded
- Cost
- $30M plan (city and PennDOT, 2017; city share $7M)
- Ownership
- Not recorded
- Decision rights
- Not recorded
- Exit conditions
- Not recorded
7 source dossiers
Miovision — Surtrac adaptive product page (vendor)
- Stable source ID
src-ebfe7a5c4800e351- Publisher
- Name not classified · rapidflowtech.com
- Type / language
- web-page · language not classified
- Published
- Not recorded
- Updated
- Not recorded
- Source last checked
- No source-level check date
- Record last verified
- 2026-10-14
- Dossier created
- 2026-10-14
- Retrieved copy
- No local capture recorded
- Archive
- No archived copy linked
- Content hash
- No captured content hash
- Locator
- Descriptive only — not page/paragraph exact
Open the recorded source note
The former Rapid Flow address now opens Miovision's Surtrac adaptive page, which credits the initial Pittsburgh deployment with 25% faster trips, over 40% less waiting and 20% fewer emissions.
- Claims linked
- Background source; no baseline claim points here
IEEE Spectrum (press)
- Stable source ID
src-4afbdbb867e69105- Publisher
- Name not classified · spectrum.ieee.org
- Type / language
- web-page · language not classified
- Published
- 2016-10-17
- Updated
- Not recorded
- Source last checked
- No source-level check date
- Record last verified
- 2026-10-14
- Dossier created
- 2026-10-14
- Retrieved copy
- No local capture recorded
- Archive
- No archived copy linked
- Content hash
- No captured content hash
- Locator
- Descriptive only — not page/paragraph exact
Open the recorded source note
2016 coverage of the CMU pilot: 25% shorter travel time, over 40% less idling, an estimated 21% fewer emissions, nine intersections in 2012 grown to 50.
CMU Metro21 – Surtrac 2.0 (research authority)
- Stable source ID
src-5cf56624436da1f1- Publisher
- Name not classified · cmu.edu
- Type / language
- web-page · language not classified
- Published
- Not recorded
- Updated
- Not recorded
- Source last checked
- No source-level check date
- Record last verified
- 2026-10-14
- Dossier created
- 2026-10-14
- Retrieved copy
- No local capture recorded
- Archive
- No archived copy linked
- Content hash
- No captured content hash
- Locator
- Descriptive only — not page/paragraph exact
Open the recorded source note
Carnegie Mellon project page on the Surtrac 2.0 upgrade done at the City's request; its April 2020 update describes reinstalling the system at all 50 intersections.
- Claims linked
Khattak, Magalotti & Fontaine, Journal of Intelligent Transportation Systems (peer-reviewed)
- Stable source ID
src-12623711e5c7d72d- Publisher
- Name not classified · tandfonline.com
- Type / language
- web-page · language not classified
- Published
- 2019-05-20
- Updated
- Not recorded
- Source last checked
- No source-level check date
- Record last verified
- 2026-10-14
- Dossier created
- 2026-10-14
- Retrieved copy
- No local capture recorded
- Archive
- No archived copy linked
- Content hash
- No captured content hash
- Locator
- Descriptive only — not page/paragraph exact
Open the recorded source note
University of Pittsburgh and Virginia researchers evaluated Surtrac on a 23-intersection corridor with the system active and inactive, using GPS floating-car runs and six months of INRIX probe data.
Route Fifty — Smart Spines (press)
- Stable source ID
src-357919894abc8c29- Publisher
- Name not classified · route-fifty.com
- Type / language
- web-page · language not classified
- Published
- 2022-05-10
- Updated
- Not recorded
- Source last checked
- No source-level check date
- Record last verified
- 2026-10-14
- Dossier created
- 2026-10-14
- Retrieved copy
- No local capture recorded
- Archive
- No archived copy linked
- Content hash
- No captured content hash
- Locator
- Descriptive only — not page/paragraph exact
Open the recorded source note
Reports the city's plan to bring Surtrac adaptive signalling to close to 150 intersections along eight 'Smart Spines' corridors.
- Claims linked
NEXTpittsburgh — $30 million smart-signal plan (press)
- Stable source ID
src-d3140bfe791a275a- Publisher
- Name not classified · nextpittsburgh.com
- Type / language
- web-page · language not classified
- Published
- 2017-08-28
- Updated
- Not recorded
- Source last checked
- No source-level check date
- Record last verified
- 2026-10-14
- Dossier created
- 2026-10-14
- Retrieved copy
- No local capture recorded
- Archive
- No archived copy linked
- Content hash
- No captured content hash
- Locator
- Descriptive only — not page/paragraph exact
Open the recorded source note
The city and PennDOT plan a $30 million adaptive signal system, mostly federal and state money, with a $7 million city share and a three-year build-out.
- Claims linked
- Background source; no baseline claim points here
BetaKit — Miovision acquires Rapid Flow (press)
- Stable source ID
src-b3714c5c4639e7eb- Publisher
- Name not classified · betakit.com
- Type / language
- web-page · language not classified
- Published
- 2022-10-12
- Updated
- Not recorded
- Source last checked
- No source-level check date
- Record last verified
- 2026-10-14
- Dossier created
- 2026-10-14
- Retrieved copy
- No local capture recorded
- Archive
- No archived copy linked
- Content hash
- No captured content hash
- Locator
- Descriptive only — not page/paragraph exact
Open the recorded source note
Reports that Miovision has acquired Rapid Flow Technologies, maker of Surtrac, for an undisclosed amount.
- Claims linked
Known limits of this file
- Publisher names and source languages have not yet been classified; domains are recorded without guessing.
- Existing source notes are descriptive locators, not page- or paragraph-exact citations.
- A missing archive, publication date or content hash is shown as null rather than inferred.
- The project-level evidence grade ranks the strongest source in the entry; it is not a truth score for every claim.
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📎 Cite this project
1001 Smart Cities (2026). “Surtrac AI Traffic Signals” — Pittsburgh, United States. The Smart City Atlas. https://1001smartcities.org/projects/pittsburgh-surtrac/ (last verified 2026-10-14). Data: CC BY 4.0.
The underlying data is free to reuse with attribution — see the open data page.
