Data integration is the solution.
You shouldn’t need to buy hundreds of more detectors or invest in an entirely new type of detection. These approaches are costly, inefficient, and ignore a core truth: there isn’t one dataset that can tell you everything you need to know about your roadways.
Instead, the solution lies in a platform that can integrate any dataset together, and create artificial intelligence to produce data that can be more accurate, more complete, and more relevant to agencies than any single source. Today, while still relying primarily on hardware, agencies often do collect data from a variety of sources, such as information from data-rich Connected Vehicles (CVs). However, all of this data is siloed from one another, as agencies use different datasets to solve different problems: for example, you might use hardware to manage your signal timings, but have a CV initiative to improve vehicle safety.
At Flow Labs, we’ve proven our AI algorithms can successfully clean up datasets. Our Virtual Sensor technology seamlessly integrates sensor, signal, and CV data to produce data that’s 94.4% accurate in field conditions. Second, as a hardware free platform, we’re accomplishing this right now. We’ve proven agencies can access high fidelity data today, using the existing hardware and infrastructure you already have.
Our series on data integration will first discuss the accuracy of our Virtual Sensor technology in more detail. Then, we’ll show you how we’re combining our highly accurate data with more artificial intelligence to solve the most complex problems in traffic management. We’ve developed industry leading analytics, which provide deep insights into safety, operations, environmental impact, and mobility. We’ve developed a breakthrough proactive monitoring platform, which can alert agencies to poor conditions and malfunctioning equipment before these issues become problems. Finally, we’ve developed accurate, on-demand signal optimizations that are multimodal, allowing agencies to optimize for both safety and mobility.
Because it isn’t enough to provide agencies with the most accurate data available. This data must be presented clearly, and in a way that empowers traffic professionals to take immediate action. Furthermore, this data must be used to solve problems in traffic management instead of only showing where the problems are.
And we’re just getting started.