Transconomy

Transconomy recently participated in the National Road Research Alliance (NRRA) Pavement Distress Rodeo held at the MnROAD site in Albertville, Minnesota. The rodeo aims to showcase how modern technologies can improve or completely replace traditional manual distress surveys.

Team Transconomy conducted multiple runs on the MnROAD test track, employing a range of capture methods, including still photos using our iPhone-based Collector app and off-the-shelf video setups. The next steps involve manual ratings and the utilization of our proprietary AI models to analyze these images, generating MnROAD-specific pavement distress indices based on the Long Term Pavement Performance (LTPP) methodology. These results will be compared with other technologies like LiDAR, drones, video, imagery, 3D laser systems, and additional AI models.

While NRRA’s scoring rubric won't determine the ultimate best collection and processing method, it will provide valuable insights for future users to select the most suitable techniques for their specific needs.

We are excited to be a part of this study and eagerly anticipate the results.

We are excited to announce that our Vice President, Engineering & Technology, Mr. Jonathan Groeger, will represent Transconomy at the prestigious 14th National Conference on Transportation Asset Management hosted by the Transportation Research Board (TRB). Mr. Groeger will be at the Tom Palmerlee Celebratory Poster Reception on July 10th, 2023, with a poster on Sustaining TAM through Comprehensive Data Collection.

Transconomy provides tools for collecting roadway images and extracting assets to create GIS-based inventories and assess the condition of transportation infrastructure using artificial intelligence (AI). Don't miss this opportunity to learn more about Transconomy's role in the latest advancements in the Transportation Asset Management (TAM) industry.

See you there at the conference!

Transconomy is pleased to announce the signing of a teaming agreement with Mobileye, an Intel Company. The teaming agreement establishes strategic cooperation to further advance AI-driven solutions for infrastructure asset management and safety across the US. The collaboration will leverage Transconomy’s AI capability to provide enhanced data processing and cleansing, data analytics, and data visualization services on crowd-sourced data from millions of connected vehicles using Mobileye’s technology.

Learn more about Transconomy’s range of data services: https://transconomy.com/data-services