Skip to main content

USDoT Intersection Safety Challenge moves to next level

Derq & Miovision among organisations through to next round of competition
By Adam Hill January 9, 2025 Read time: 2 mins
(© Andrii Biletskyi | Dreamstime.com)

Derq and Miovision are among the companies, universities and other organisations which have won through to the latest, $4m, stage of the US Department of Transportation (USDoT)'s Intersection Safety Challenge.

The awards for Stage 1B of the multi-stage prize competition - System Assessment and Virtual Testing - were announced at the Transportation Research Board Annual Meeting in Washington, DC: 10 teams will be given amounts ranging from $166,666 to $750,000, for a total of $4m in prize awards. 

The challenge supports the US National Roadway Safety Strategy (NRSS) and was set up to encourage teams of innovators and end users to develop, prototype and test intersection safety systems which use emerging technologies including AI and machine learning.

In Stage 1A, the winning teams each received $100,000 for proposing their concepts. In Stage 1B, they had to demonstrate the technical aspects of their safety systems by identifying vehicles and people moving on the road - both inside and outside of a vehicle - and predicting potential collisions using real-world scenarios.

Their challenges included sensor fusion, classification, path and conflict prediction using USDoT's real-world sensor data collected on a closed course at the Federal Highway Administration Turner-Fairbank Highway Research Center.

In this round, Tier 1 winners get $750,000 each: these are Derq USA; plus the universities of Michigan, California (Los Angeles) and Hawaii.

The University of Michigan team includes Mcity, General Motors Global R&D, Ouster and Texas A&M University.

Tier 2 winners get $166,666 each: Orion Robotics; Florida A&M University and Florida State University; University of Washington; University of California (Riverside); Ohio State University; and Miovision, which includes Miovision USA, Carnegie Mellon University, Amazon Web Services and Telus.

These systems are set to identify and mitigate unsafe conditions involving vehicles and vulnerable road users at roadway intersections - and the next stage is for prototyping and field-testing.

USDoT principal deputy assistant secretary for research and chief scientist Dr. Robert C. Hampshire, says: "Enhancing the safety of vulnerable road users at our nation’s roadway intersections is a critically important element in driving down fatalities on our roads to zero.”

For more information on companies in this article

Related Content

  • UDOT launches variable speed limit system
    January 8, 2014
    The Utah Department of Transportation (UDOT) has installed a new US$750,000 electronic sign system on Interstate 80 in Parleys Canyon that will allow engineers to adjust the speed limit during storms or icy weather. Eight electronic signs are in eastbound lanes, and seven in westbound lanes. Data from road sensors shows the road condition, along with the canyon’s temperature and humidity and traffic speed, while cameras will show visibility, enabling traffic engineers to remotely adjust the speed limit s
  • AVs light up New South Wales V2I trial
    August 23, 2024
    Two self-driving vehicles are linking with Scats technology in Sydney collaboration
  • Econolite to host connected vehicle demonstration at opening of Mcity
    July 15, 2015
    As part of the grand opening of Michigan’s Mcity on 20 July, Econolite will host a connected vehicle demonstration of real-time vehicle-to-infrastructure communications, using currently available signalised intersection equipment. Mcity is a unique test site for connected and automated vehicles located on the North Campus Research Complex and operated by the University’s Mobility Transformation Center (MTC). The 32-acre simulated urban and suburban networked environment features a system of roads wit
  • TRB 2023: Derq makes dash for safety
    January 10, 2023
    Dashboard-based Insight suite generates safety scores across road corridors or networks