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:
- Tell us about the challenges you are encountering.
- We’ll leverage numerous data sources within the Streetlytics platform and provide the comprehensive data you need.
- Your decisions will become clear and you can proceed confidently.
Many industries benefit from Streetlytics including:
- Government: design and maintain safe, sustainable, and efficient transportation systems.
- Advertising: optimize ad targeting strategies, including where, what, and when they post.
(Streetlytics currently powers the official audience measurement system for the out-of-home advertising market in the USA and Canada)
- Auto Insurance: analyze client travel patterns and locations as a part of their risk analysis, plus assess and quantify risk for each road segment traversed in MaaS applications.
- Real Estate: aid in site selection and store product mix to optimize revenues.
- Mobility: gain an understanding of the changing demands for transportation.
- Logistics: produce accurate predictions of future traffic conditions for more accurate ETAs.