"Instead of building more roads to handle population and vehicle increases, cities can optimize usage of roads they already have with GridMatrix’s real time software platform.”
GridMatrix’s technology is built for flow optimization. The goal is to achieve reduced road user wait time, whether it is a vehicle at a light, a bus at a railroad signal, or a pedestrian at a crosswalk.
A reduction in idle time due to stoppage is directly correlated to emissions reduction. Idling cars create more than 30 million tonnes of CO2 annually. Cutting these emissions to 0 is the same as taking 6.5 million passenger cars off America’s roads.
Instead of building more roads to handle population and vehicle increases, cities can optimize usage of roads they already have with GridMatrix’s real time software platform.
Transit Signal Priority
GridMatrix’s software can optimize phase timing for mass transit and emergency arrival on green, keeping the most important traffic in your city moving quickly.
Cities are looking to reduce deaths from traffic accidents to 0, and GridMatrix can help get them there. Improved traffic flow is correlated with accident reduction, and GridMatrix’s analytic tools can help diagnose problem intersections with high accident rates to pinpoint the root cause.
Streets need to work for all road users, not just vehicles. Mass transit, cyclists, pedestrians, and micro-mobility road users also need a system that is built for their needs. GridMatrix’s solutions are designed with these road users in mind, prioritizing their safety and balancing their needs with the demands of vehicular traffic.
Cities need to work for everyone. Essential destinations like groceries, child and elder care, physicians, schools, parks, and work need to be accessible in a reasonable amount of time regardless of where a city resident may live. Accelerating traffic flow puts mobility equality in reach.
The Second Mobility Paradigm Shift
We’re all living through a mobility paradigm shift right now. There’s a radical transformation happening in the way we move: people, energy, data, and goods - where they originate, where they end up, and how they get there. When Henry Ford launched the Model T in 1908, he catalyzed the first mobility paradigm shift. Cars and horses co-existed for the next 20 years before vehicles emerged as the primary mode of urban transit. Accompanying this transition was the demand for new infrastructure to support them: paved roads, gas stations, and road networks - all of which ultimately changed the layout and composition of cities. Today is no different. Advances across the autonomous, connected, electric, and shared technology verticals require the development of new infrastructure to support their deployment and adoption. Currently our world is mixed - emerging and legacy forms of transportation co-exist. Existing urban infrastructure, however, hasn’t yet evolved to support them. We only need to look at the past to understand where we are on that transformational arc and what comes next...
GridMatrix’s mission is to evolve existing transportation infrastructure for the demands of the next 50 years. A component of this evolution will include new physical infrastructure, but it will also require the genesis of a new digital layer of infrastructure as well. We see a generational opportunity to build this digital infrastructure and accelerate the shift to new forms of mobility. We have already begun this work, building a cloud based software platform that ingests data from any existing edge sensor within a city and delivers insights that eliminate traffic congestion, accidents, and emissions in real time. GridMatrix’s software can already reveal all eastbound freight traffic in a city, predict the total gallons of gasoline consumed across its road grid, and let emergency responders know that an accident has taken place on 110th Ave & 4th street in under 200 milliseconds. Our funnel is expanding to include cloud based data sources, fusing information from connected vehicles, mobile phones, and satellite images with live edge data to create a true digital twin of urban street traffic. Ultimately, we will evolve into a predictive, bidirectional channel whereby users and infrastructure are connected and can communicate with each other. While our product and company grew out of thinking about how to build a smarter intersection (and remake cities in the process), we already have inbound requests for real time spatial intelligence beyond solely urban settings. From the port that wants to understand cargo movement and truck queues, to construction sites tracking material flow, to airports measuring the relationship between ground traffic and passenger volume - we are building an original digital layer of infrastructure that will have a foundational role in each of these settings and ultimately contribute to a safer, greener, and more efficient world.
Gridmatrix's cloud based software platform eliminates traffic congestion, accidents, and emissions. Using data from existing sensors as well as cloud based sources, GridMatrix healps cities accelerate their transportation goals and ultimately transform into safer, greener, and more efficient places to live and work.
GridMatrix was co-founded by a team of former Apple engineering and operations colleagues with a combined 22 patents and 100 years of experience at America’s leading technology companies, including Apple, Amazon, and Google.
Long Term Partner
GridMatrix aims to be a long term Partner to cities, helping them prepare their infrastructure for next 50 years of across the autonomous, connected, electric, and technology verticals
Built for Impact
GridMatrix builds solutions that make a difference. From slashing congestion and green house gas emissions to reporting traffic accidents in under 200 milliseconds, GridMatrix's software transforms how cities operate.
Product Design Philosophy
Software first. Cloud native. Universally compatible. Platform agnostic. Scalable. GridMatrix's solution integrate edge data from any sensor with cloud based data sources to deliver real time insights at city-wide scale.