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

  • ITS Australia confirms 40 finalists 
    October 16, 2020
    This year has seen largest number of submissions to organisation's National Awards 
  • Microsoft research aims to predict traffic jams
    April 9, 2015
    Microsoft Research is working with Federal University of Minas Gerais in Brazil to tackle the problem of traffic jams. The immediate objective of this research is to predict traffic conditions over the next 15 minutes to an hour, so that drivers can be forewarned of likely traffic snarls. The Traffic Prediction Project plans to combine all available traffic data, including both historic and current information gleaned from transportation departments, Bing traffic maps, road cameras and sensors and the so
  • Singapore plans changes to transit system
    June 13, 2018
    Singapore has the third-highest population density in the world and the numbers are continuing to grow. The government knows that transit is vital: David Crawford investigates the city state’s Smart Nation strategy. Transport is the most important of the five domains identified as the pillars of Singapore's far-reaching Smart Nation strategy, launched in November 2014 by prime minister Lee Hsien Loong with the aim of reaching fulfilment by 2024. Roads account for 12% of the island republic's 719km2 land ar
  • $160m available for US ITS projects
    September 21, 2022
    Significant boost for ITS from Bipartisan Infrastructure Law signed last year