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Google Green Light Data Pilot Services

Overview


Data Analytics, AI & Cloud Hosting
Vancouver, British Columbia, CanadaPosted: July 16th, 2026Deadline: July 29th, 2026

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SUMMARY


A government authority in Vancouver, Washington is seeking Google Green Light data pilot services to optimize traffic signal timing. The project aims to improve traffic flow, reduce idling, and lower greenhouse gas emissions through data-driven intersection analysis.

KEY REQUIREMENTS


BUDGET

Verified

$0

CONTRACT DURATION


17 months

TIMELINE


The pilot opens on July 15th, 2026.

The pilot closes on July 29th, 2026.

The initial pilot term concludes on December 31st, 2027.

QUESTION DEADLINE


July 29th, 2026

CONTACTS


Primary procurement contact — name, title, email, and phone

Additional decision-makers and their departments

Issuing Agency


City Of Vancouver

Organization overview and procurement intelligence available on paid plans.
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DESCRIPTION


The government authority in Vancouver, Washington is seeking a vendor to provide Google Green Light data pilot services. The project is intended to support traffic signal timing optimization efforts aimed at improving traffic flow, reducing vehicle idling, and decreasing greenhouse gas emissions.

The requested services involve the use of Google’s Green Light program, a proprietary platform that leverages crowd-sourced Google Maps driving trends and machine learning models to analyze intersection efficiency. The pilot is expected to provide signal timing optimization recommendations based on data-driven analysis of roadway intersections.

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Frequently asked questions


When is the submission deadline?
Submissions are due July 29, 2026. Questions must be submitted by July 29, 2026.
What is the budget for this RFP?
The published budget is $0.
Who issued this RFP?
It was issued by City Of Vancouver. The work is located in Vancouver, British Columbia, Canada.
Who is a good fit for this opportunity?
  • Traffic data analytics or intelligent transportation systems provider
  • Experience with signal timing optimization and intersection efficiency analysis
  • Capability to deliver machine learning or mobility data-driven transportation insights
  • Familiarity with municipal or public sector transportation projects
  • Experience supporting emissions reduction and traffic flow improvement initiatives

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