INRIX have announce the addition of the largest high-frequency, high-volume OEM Connected Vehicle dataset on the market to its already expansive data lake.  This is the latest of four new data source agreements for INRIX in the last year, including data from connected vehicles, mobile devices, and shared mobility.

Says Ahmed Darrat, INRIX Chief Product Officer: “With the addition of this OEM vehicle data, INRIX captures detailed real-time information on speeds, trips and road conditions, providing unparalleled visibility and insights into high fidelity road dynamics. Along with bicycles, e-bikes, e-scooters, carshare, and micromobility freight data from our acquisition of Ride Report, we now offer another dimension of comprehensive set of mobility insights to help agencies better manage the public right-of-way and enterprises better operate their businesses. Finally, adding high-quality, first party mobile device data helps reveal trends and preferences often missed by other data sources such as adjust for biases of new connected vehicle trips and updating our vulnerable road user index accounting for pedestrians and pedal bikes.

“For the last two decades, integrating diverse, multi-modal and state-of-the-art data has been a cornerstone for INRIX. Over the last year, bankruptcies, quality issues and privacy concerns created uncertainty in the transportation data market. By diversifying data sources and enhancing data processing techniques, INRIX took proactive steps to mitigate the impact of these market forces while continuing to pursue additional high-frequency, high-volume data sources. Our efforts over the last 12 months have more than doubled our daily ingested datapoints, adding an incredible number of diverse insights to our already industry-leading 50 petabyte data lake.

“Integrating high-quality data sources is only part of the equation. We have also advanced numerous internal algorithms, enhancing their ability to process and analyze vast amounts of data faster and cheaper. Moreover, we have implemented robust mechanisms that leverage our industry leading Incidents product to identify and filter out unreliable data. In an era where data integrity is paramount, detecting and eliminating erroneous or deceptive information is crucial. By maintaining a clean and reliable data set, we ensure our insights remain trustworthy and credible.”