Skip to main content

GridMatrix maximises power of existing infrastructure

August 5, 2023 Read time: 2 mins
(image: GridMatrix)

GridMatrix’s breakthrough software platform for multimodal data collection and analytics is revolutionising transportation planning and decision making across the US. 

Powered by artificial intelligence and combining the latest advances in cloud computing, machine learning and advanced sensing, GridMatrix’s platform is deployed in New York City on the world’s busiest bridges and tunnels, trusted by multiple state departments of transportation, and in a fast-growing number of American towns and cities. 

GridMatrix is built to maximise the power of existing infrastructure with no new hardware, sensors or field maintenance required to deploy. The software platform integrates feeds from a variety of edge sensors, such as cameras, radar, loops and even Lidar to produce metrics on congestion, emissions, safety and signal performance. 

All data is delivered 24/7/365 and in real time with less than one second of latency and >95% accuracy. GridMatrix’s software platform will even work with multiple different sensor types at once, and from different manufacturers. Deployments take 1-2 weeks to reach city-wide scale. Every GridMatrix deployment includes data for multiple classes of vehicle and pedestrian in four core areas: Congestion, Signal Performance, Emissions and Safety. 

The Congestion module includes all data routinely collected during a traditional traffic study, including counts, turning movements, and flow rates. The Signal Performance module provides ATSPM metrics including Purdue performance measures. The Emissions module displays fine-grained data on CO2 emissions and gas consumption. The Safety module includes data on near misses using surrogate safety measures (PET & TTC), automated incident detection (AID), and compliance measures such as red-light-running to provide a comprehensive Vision Zero solution. GridMatrix is proudly an American company founded and headquartered in San Francisco. 

SOC2-certified, it adheres to the highest standards of data handling and cybersecurity.  A privacy-first company, GridMatrix records no sensor data or PII information. GridMatrix is available to purchase directly, via the Purchasing Cooperative of America (PCA), and via the Amazon Web Services Marketplace. 

To learn more about GridMatrix, visit www.gridmatrix.com or reach out to vice president of business development Austin Wilson at [email protected]

Content produced in association with GridMatrix

For more information on companies in this article

Related Content

  • Data revolution in real time travel information
    February 3, 2012
    Damian Black, CEO and founder of SQLstream Inc, writes about relational stream processing for real-time intelligent transport systems Almost unnoticed there is a revolution going on in Internet data which is different from anything seen before. It is taking place in sensor data, which research organisation Gartner predicts in 2012 will exceed 20 per cent of all non-video Internet traffic.
  • Stepped speed limits improve workzone congestion and safety
    January 30, 2012
    Traffic flow has been improved, congestion eased and safety increased - by a system of 'stepped speed limits' introduced to UK roadworks. URS Scott Wilson principal consultant Jamie Uff reports
  • Intercomp presents latest WIM developments
    April 5, 2016
    US-headquartered Intercomp Company, the world’s largest manufacturer of portable weighing and measurement products, is presenting its continued developments in Weigh-In-Motion sensors here at Intertraffic. As the company points out, with integration of in-ground sensors within WIM sites around the world, users are obtaining excellent performance at a compelling price point.
  • Fontinalis Partners invests in SQLstream
    April 19, 2012
    Fontinalis Partners, a strategic investment firm, has invested in San Francisco-headquartered SQLstream Inc., which claims to be the first standards-based stream computing platform to enable companies to exploit and monetize their real-time service and sensor data.