• Streetlytics

    Smart Data Supporting Smart Decisions

Total Population Movement

Streetlytics’ data analytics enables users to make confident decisions to mitigate risk and increase revenue by leveraging transportation digital twins.

Citilabs' Streetlytics enhances digital twins by adding a movement dimension based on six types of data: volumes, speeds, origin-destination, home locations, pedestrians, and routes. Streetlytics is currently used to solve previously unsolvable problems in industries such as transportation planning and operations, air quality, out-of-home advertising, insurance, and real estate.

The Streetlytics mobility analytics engine is powered by advanced artificial intelligence, behavioral models and industry leading experience in mobility analytics. Our analytics engine is fueled by multiple data sources including:

  • Billions of GPS data points from mobile devices and connected cars.
  • Comprehensive demographic and employment data by neighborhood.
  • More than 2 million observed traffic counts.
  • An accurate digital representation of the multimodal transportation network; currently trusted by the automotive industry to support autonomous vehicle navigation.

How to get started:

  1. Tell us about the challenges you are encountering.
  2. We’ll leverage numerous data sources within the Streetlytics platform and provide the comprehensive data you need.
  3. Your decisions will become clear and you can proceed confidently.
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  • Superior Data Product

    • See spatial and temporal coverage, purpose and mode of travel, itineraries, home and demographic traveler data, and the volume and speed of travelers.
  • Conservation of Flow

    • Historically, traffic counts have been pulled from inconsistent samples and result in inconsistent data. Streetlytics eliminates this inconsistency.
  • Comprehensive Coverage of Data

    • A complete understanding of data helps you see the bigger picture. Save money and time when you know you have all the information the first time.
  • Multiple Independent Data Sources

    • A diversified solution providing increased validity, increased confidence, and inherently more robust than traditional data sources.
  • Data Integration Opportunities

    • Gain richer information and add value by integrating internal and external datasets based on traveler home locations.