December 19, 2018
  • 2:34 pm Committee Leadership Comes into Focus for 116th Congress
  • 2:22 pm Interstate System Report Calls for More Funding, Tolling, VMT Fees, and Cybersecurity
  • 2:15 pm In Memoriam: President George H. W. Bush, ISTEA, and Transportation
  • 1:56 pm Growth Projected for Transportation Projects, but Costs a Challenge
  • 1:35 pm FAA Reshuffles Executives, Plans Drone Identification Rulemaking in Spring 2019
  • 1:28 pm Predictive Technology Helps Reduce Crashes on I-15 Corridor in Las Vegas
  • 1:14 pm Video Report: MoDOT Produces Multi-Lingual Safety Message
  • 1:11 pm PennDOT Nears Completion of Rapid Bridge Replacement Project
  • 1:08 pm Infrastructure Grants Awarded to “Smaller” South Dakota Communities
  • 12:01 pm ‘WOTUS’ Redefinition Could Reduce Regulatory Burden for Transportation Projects
  • 11:54 am EPA Issues ‘Conformity Guidance’ in Air Quality Court Decision
  • 11:48 am USDOT Officially Awards BUILD Grant Money to 91 Projects
  • 11:44 am House Hearing Debates Potential of 21st Century Fuels Act
  • 11:38 am USDOT OIG Report Highlights FAA Cybersecurity Issues

The Oklahoma Department of Transportation is beefing up its online travel tools with the addition of real-time snow plow camera views; the result of a two-year research partnership with Tulsa Intelligent Transportation System Integration Lab at the University of Oklahoma and a nearly $300,000 initial investment.

[Above photo by Oklahoma DOT.]

This newest feature to the Oklahoma DOT’s mobile app – “which will become available and tested with the next snow and ice event,” the agency said – will add new images about every 10 minutes via www.okroads.org as snow plows “work their routes.”

The agency said in a statement that the images from the snow plow cameras will remain posted for up to an hour, allowing motorists to see a snapshot of highway conditions for themselves. When accessing the app’s online map, the Oklahoma DOT said motorists can click on any camera icon to pull up the most recent highway image where available.

Photo via Wikimedia

The agency expects this system will be fully implemented statewide by 2020 at an estimated additional cost of $220,000. It will also provide useful weather condition data to Oklahoma DOT maintenance superintendents so they can better manage their snow-fighting fleet and material usage. The snow plow camera application was developed in partnership with the Tulsa Intelligent Transportation System Integration Lab at the University of Oklahoma.

Terri Angier, an Oklahoma DOT spokeswoman, added in a statement that all of the agency’s online travel tools are now available within one app via the Apple App Store.

“Making these tools available to the public is part of the department’s ongoing efforts to modernize its communication with motorists,” she noted. “These tools will enable motorists to make better decisions about their routes ahead of time, thus hopefully saving them some time during the busy travel season.”

Angier added that Oklahoma DOT created the app in partnership with the Norman Center for Intelligent Transportation Systems at the University of Oklahoma’s Gallogly College of Engineering as part of an ongoing contract.

She noted that the new real-time snow plow views come from new cameras and sensors installed on nearly 200 agency snow plows mostly in rural areas of the state. However, Angier pointed out that similar camera/sensor packages won’t be installed on snow plows operating in the Oklahoma City or Tulsa metro area as motorists already have access to more than 400 camera views of metro-area interstates through www.oktraffic.org. Additionally, the urban areas are maintained by outside contractors and camera/sensor packages are state owned.

“We want to partner with drivers to help them make safe driving decisions before they get behind the wheel,” Angier said. “These new interactive tools are another step toward providing motorists with real-time information but they do not take the place of good judgment by drivers.”

 

editor@aashto.org

RELATED ARTICLES
%d bloggers like this: