INRIX x MetroLab Challenge

MetroLab Network
5 min readJul 14, 2023

On June 26 — MetroLab announced a new strategic partnership with INRIX, a private company that provides cities and road authorities with a leading on-demand analytics platform for making data-driven decisions and managing mobility to keep the world moving smarter, safer, and more efficiently.

INRIX invites MetroLab members to apply to participate in a collaborative project that unlocks unique INRIX data sets to help researchers and innovative local government leaders discover, implement, and scale innovative solutions and new thinking.

We’re seeking innovative research and local government collaborators from the Metrolab Network looking to support positive human-centered outcomes in cities. We’re selecting up to 5 teams to join this public-private partnership that will provide free access to a range of INRIX APIs for up to 1 year. The application can be found here:

Winners will need to be prepared to discuss their research project at the 2024 Metrolab Summit and a midpoint check-in will be required in January. Applications will be judged by INRIX, Metrolab, and an external third party transportation and mobility expert.

Applications are due August 15th and winners will be announced in Early September.


What INRIX Datasets are Available:

  1. Trips Origins and Destinations + Trip Paths:
    Trip Analytics is derived from industry-leading geospatial data processing, which enables a new understanding of population movement information such as origin and destination zones, trip paths taken, diversion routes during peak time and incidents, corridor usage and more.
  2. Speed / Real Time Traffic API:
    Includes real-time traffic flow, incident/congestion alerts, bottlenecks, and camera views (where available) ― provides agencies with a complete, real-time picture of current traffic conditions.
  3. Traffic Tiles:
    Tile-based overlays for INRIX Fusion Traffic Flow that include images with lines representing road segments which are coded to the traffic conditions on that road segment.
  4. Incidents:
    Incidents generated from multiple incident sources including: manned operations centers, consumer reports, DOT cameras, social media and other observational tools. Based on TMC coverage, each incident includes the segment location, a roadway description, a journalistic description of the incident, start and end point of the incident and the last detour point plus average speeds along the congested segment. Incident types include INRIX Flow Incidents and accident, event and construction incidents. Incidents are available in TPEG-TEC, verbose XML or Alert-C compliant formats.
  5. Dangerous Slow-Downs:
    This service rapidly and reliably monitors the location, duration and length of queues at a pixel level, for detecting impact on traffic flow operations. Generated from INRIX Fusion speed data, this active safety application informs users of the presence of potentially hazardous slowdowns by rapidly and reliably monitoring the location, duration and length at a sub-segment level. Enabling drivers to better anticipate emergency braking situations and road operators to deploy appropriate accident prevention strategies.
  6. Volumes:
    INRIX Volume Profiles is an industry leading historical vehicle count product that uniquely provides day-parted and direction-parted vehicle counts for the entire United States. For each 15 minutes of each day of the week, totaling 672 time bins.
  7. Speed Distribution Profiles:
    Represents the statistical distribution of speeds. The distribution is built by taking the observed vehicles over a segment for the timespan of the request. The data is compiled into 15 min daily bins which can be rolled up to 1-hr, 1-day, or specific span of time (commute hours, mornings, evenings, etc.) as the use case requires.
  8. DT Polygons:
    DriveTime Polygons leverage real-time traffic conditions to visually display dynamic travel times as a range using a central point of origin as a reference point. Accessed via API, these drive time ranges are ideal as a layer on top of a map.
  9. Trips Plus:
    Trips Plus combines INRIX’s connected vehicle data (passenger cars and trucks) with U.S. POI data that is comprised of over 12mm POIs, 450 tickers, and 7,400 brands (a brand is any company that has three or more locations). With Trips Plus, users gain insights into consumer trends to locations such as theme parks, casinos, restaurants, hotels, retail, etc. Users can also analyze fleet/truck activity around places such as manufacturing facilities, warehouses, distribution centers and seaports.
  10. Off-Street Parking:
    INRIX Off-Street Parking provides static and dynamic parking data for off street parking facilities. Data provided includes parking lot locations, entrances and exits, hourly and daily rates, hours of operation, payment type accepted, structure type (such as roofed, underground, open, etc.), and special access capabilities. Dynamic availability predictions are also included as well as some real time occupancy feeds.
  11. On-Street Parking:
    INRIX On-Street Parking provides parking high resolution curbside data for on-street parking locations which includes pricing, restrictions, and real time availability prediction. In dense urban areas in 125 cities, INRIX provides 100% geographic and temporal coverage of curbspace at 1 meter resolution.

Project Wishlist:

We are open to any creative ideas that your team has but to spark some creative juices, here are some ideas we’ve been thinking about:

  • Identifying the changes to traffic patterns pre and post pandemic for urban, suburban, and exurban areas and the economic impact to cities and transit agencies because of these changes
  • How do different on-street and off-street parking regulations as well as transit, micromobility, or other services and subsidies impact parking availability and total vehicle miles traveled based on cars cruising for availability
  • Measuring passenger and freight trips mixed with open source or publicly available shared mobility and transit data to identify the impact of different policies, subsidies, and infrastructure improvements
  • Linking trips, parking, and external sources around active transportation trips and financial information such as credit card data or tax receipts to understand the financial impact of different types of operational, infrastructure, and parking changes
  • Does monitoring truck activity around manufacturing facilities, such as John Deere, Caterpillar, Procter & Gamble, etc, provide a leading indicator to future financial gains for that respective company? Does monitoring passenger car activity at these same facilities provide additional context since one can infer that these are employees that work there (ie. is employee activity increasing/decreasing)?.

Terms and Conditions:

  • Winners will need to sign an evaluation agreement and mutual non-disclosure agreement to ensure that data is not shared beyond the research team.

For more information on MetroLab and joining as a member, please visit For more information about the INRIX — MetroLab Challenge, please visit



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