Skip to main content

DriveOhio to monitor traffic and road incidents with drones

DriveOhio will use unmanned aircraft systems (UAS) to understand how to manage traffic, roadway incidents and roadway conditions along the 33 Smart Mobility Corridor from 1 July. The three-year project, valued $5.9m, is intended to complement autonomous and connected vehicle tests along the 35-mile stretch between Dublin and East Liberty.
June 8, 2018 Read time: 2 mins
DriveOhio will use unmanned aircraft systems (UAS) to understand how to manage traffic, roadway incidents and roadway conditions along the 33 Smart Mobility Corridor from 1 July. The three-year project, valued $5.9m, is intended to complement autonomous and connected vehicle tests along the 35-mile stretch between Dublin and East Liberty.


This study stems from a partnership between DriveOhio’s UAS Center and the Ohio State University College of Engineering.

The research will be carried out by air and ground vehicles while the drones will monitor traffic and incident response along with the state's fixed-location traffic camera system. The UAS will interact with sensors and communication equipment to feed data into the state’s traffic management centre.

Additionally, the initiative will use sensors and communication devices to ensure unmanned aircraft will not collide with each other or with small planes and helicopters.

Fred Judson, director of DriveOhio’s UAS Center, says: “This research project will make the development of that safety system a priority so that other aircraft operations such as package delivery and air taxi services can be explored down the road.”

Other members involved in the project include Cal Analytics, Gannett Fleming, Airxos, Gryphon Sensors, Transportation Research Center, Woolpert, the Ohio State University Airport and Midwest Air Traffic Control.

UTC

Related Content

  • December 5, 2017
    Hamburg’s on-demand alternative to commuting by car
    As Hamburg is confirmed as the host for the 2021 ITS World Congress, David Crawford looks at the city’s moves towards enabling MaaS-type operations. Germany’s second-largest city, Hamburg, is pinning its civic reputation on having its promised all-electric, on-demand, shuttle bus ridesharing service up and running by 2018. Partners in the three-year project are regional metro and bus service provider Hamburger Hochbahn and Volkswagen Group’s Berlinbased mobility innovation subsidiary Moia, which was set
  • June 7, 2018
    Dura-Line lays fibre along Ohio’s Smart Mobility Corridor
    The Ohio Department of Transportation recently installed Dura-Line’s 7-way FuturePath fibre network alongside its 35-mile Smart Mobility Corridor - a limited access, four-lane highway designated by the state as a test site for smart transportation technology. As transportation networks increasingly rely on connectivity and the availability of big data, communications infrastructure needs to provide sufficient bandwidth and speed to support equipment for monitoring traffic and self-driving cars and convey
  • November 11, 2015
    CRASH Predicts ‘unpredictable’ in traffic incidents
    Road crashes are not as random as they may appear and analysing data can reveal patterns that can help various authorities target their resources more accurately. David Crawford reports. Figures from the US National Highway Traffic Safety Administration (NHTSA) show that in 2013 there were 32,719 people killed on American roads and 2.31 million injured. While these form part of an overall 25% drop over the decade from 2004, US Transportation Secretary Anthony Foxx continues to stress that reaching the procl
  • October 12, 2018
    Trust me, I'm a driverless car
    Developing C/AV technology is the easy bit: now the vehicles need to gain people’s confidence. So does the public feel safe in driverless hands – and how much might they be willing to pay for the privilege? The Venturer consortium’s final user and technology test (Trial 3) explored levels of user trust in scenarios where a connected and autonomous vehicle (C/AV) is interacting with cyclists, pedestrians and other road users on a controlled road network. Trial 3 consisted of experimental runs in the