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

  • Bluecity shows Lidar & AI capability
    March 31, 2022
    Bluecity’s high-resolution 3D Lidar sensor and AI perception software detect vehicles, bicycles and pedestrians with pinpoint accuracy in real time.
  • Sony's AI sensors in Rome smart city trial
    May 28, 2021
    Smart city project run by Envision will use Sony's IMX500 image sensors with AI processing
  • Data goldmines offer rich pickings
    May 31, 2013
    Astronomical is not too grand a term to describe the current rate of growth in transportation-related data. Massive amounts of traffic related information, such as speed, volume, incidents and weather are being generated every second by road operators and users alike. Big data’ derives its name from the sheer amount and complexity of available raw data. Its potential value is starting to emerge among the intelligent transportation systems community. A gold rush is taking place to capture this value, with da
  • Riyadh opts for TransCore traffic management system
    February 25, 2015
    TransCore has expanded its presence in the Middle East with a contract worth US$100 million to provide the Arriyadh Development Authority (ADA) of Saudi Arabia with an advanced traffic management system to improve the flow of traffic for the seven million people living in Riyadh. TransCore will deploy its TransSuite software solution to manage traffic signal operations at 350 of the city’s busiest intersections. The system automatically adjusts traffic signal timing in response to real-time traffic conditio