Derq launches V2X safety project in Detroit

Derq has launched two vehicle to everything (V2X) applications in downtown Detroit to predict and prevent traffic crashes. The technology company collaborated with Flir Systems to communicate threats in real-time to drivers at the intersection of Jefferson Avenue and Randolph Street intersection. Derq's software monitored vehicle-to-infrastructure and vehicle-to-pedestrian interactions. The firm uses patented artificial intelligence algorithms to create a two-second warning for drivers. Flir Systems'
June 7, 2018 Read time: 2 mins
Derq has launched two vehicle to everything (V2X) applications in downtown Detroit to predict and prevent traffic crashes. The technology company collaborated with 6778 Flir Systems to communicate threats in real-time to drivers at the intersection of Jefferson Avenue and Randolph Street intersection.


Derq's software monitored vehicle-to-infrastructure and vehicle-to-pedestrian interactions. The firm uses patented artificial intelligence algorithms to create a two-second warning for drivers.

Flir Systems' thermal imaging and combined visible/radar sensors were installed on the intersection to allow Derq to run its software applications and generate predictions.

The project is part of the 1688 Michigan Department of Transportation and 8439 PlanetM's Startup Grant pilot. The state's business development division for mobility is offering up to $1m in grants to startups looking to test transportation ideas in Michigan.

Dr. Georges Aoude, Derq’s CEO and co-founder, says the intersection is one of the most challenging areas for pedestrians and cars in the city.

“It’s a complex intersection connecting major roads and highways, as well as the Detroit-Windsor Tunnel,” Aoude adds.

Derq is exhibiting the technology at the ITS America Conference in Detroit.

Urban Traffic Control

For more information on companies in this article

Related Content

  • IN FOCUS: What Lidar does next
    March 16, 2023
    Automotive, tolling, robotics – outside of traffic, road safety and autonomous vehicles, what applications will move the dial in terms of Lidar during 2023? Quite a few, finds Adam Hill
    Read More
  • U-M offers open-access automated cars to advance driverless research
    November 22, 2016
    The University of Michigan (U-M) is offering use of its new research vehicles as test beds for academic and industry researchers to test self-driving and connected vehicle technologies at its proving ground. These open connected and automated research vehicles, or open CAVs, are equipped with sensors including radar, lidar and cameras, among other features and will be able to link to a robot operating system. An open development platform for connected vehicle communications will be added later. The op
    Read More
  • Cubic: predictive analytics is putting fortune tellers out of business
    November 23, 2018
    The rise of machine learning and artificial intelligence means that fortune tellers will soon be out of business. Ed Chavis takes a behind the scenes look at the world of predictive analytics ver since organisations started taking advantage of insights derived from Big Data, data scientists concentrated their efforts on the ability to make correct assumptions about the future. A few years later, with the help of automation, developments in machine learning (ML) and advancements in the application of a
    Read More
  • Esri maps cause and effect
    September 26, 2024
    The work of the Connecticut Transportation Safety Research Center means engineers can concentrate on developing more effective safety measures, rather than having to sort out raw crash data
    Read More

Highlighted Content