Skip to main content

City of Madison awarded ITS Wisconsin Project of the Year

The City of Madison, Wisconsin, in association with Strand Associates, was recently awarded the ITS Wisconsin Project of the Year Award for the Verona Road Adaptive Signal Control Deployment. The project deployed Econolite’s Centracs Adaptive ahead of major highway improvement construction to help better manage alternative route/bypass traffic along an already high-volume corridor. The City worked proactively to address the projected 20 per cent increase of traffic volume through the alternative route by
November 4, 2015 Read time: 2 mins
The City of Madison, Wisconsin, in association with Strand Associates, was recently awarded the ITS Wisconsin Project of the Year Award for the Verona Road Adaptive Signal Control Deployment. The project deployed 1763 Econolite’s Centracs Adaptive ahead of major highway improvement construction to help better manage alternative route/bypass traffic along an already high-volume corridor.

The City worked proactively to address the projected 20 per cent increase of traffic volume through the alternative route by using intelligent transportation system technology, particularly adaptive signal control.

Centracs Adaptive is a module integrated in Centracs ATMS. For this project, the City of Madison deployed Centracs Adaptive to 13 signals along the alternative corridor. Installed in July 2014, Econolite claims Centracs Adaptive has been validated to reduce travel times by up to 22 per cent and provides the City with excellent incident response capabilities.

“Having recently timed this corridor, we were very pleased with the effectiveness of Centracs Adaptive to significantly reduce travel times even over a newly timed corridor,” said assistant city traffic engineer Scott Langer. “You might expect a 22 per cent improvement over previously non-timed signals, but this kind of result to recently timed signals speaks volumes to the legitimacy of adaptive signal control in improving travel times.”

Partnering with the City of Madison were the City of Fitchburg, Dane County, Wisconsin DOT, Strand Associates, and Econolite distributor Traffic Control Corporation.

For more information on companies in this article

Related Content

  • Average speed enforcement, a huge impact on reducing speed
    January 31, 2012
    A guaranteed way to get drivers to slow down and comply with work zone speed limits is to use average speed cameras. Deployed in the UK for over a decade now, they have had a huge impact, not least in achieving around 99 per cent compliance with speed limits. It's not difficult to understand: when someone knows that if they speed through a work zone it is absolutely guaranteed that they will be caught, fined and have points on their licence, only a total fool would. In the UK, SPECS average speed cameras we
  • ITS America 23rd annual meeting highlights life-saving vehicle technology
    January 29, 2013
    The Intelligent Transportation Society of America’s (ITS America) 23rd Annual Meeting and Exposition will be held at the Gaylord Opryland Resort and Convention Center in Nashville, TN from April 22 – 24, 2013, and will showcase the latest ITS technology solutions with an exhibit hall and panel discussions featuring national, regional and local transportation officials and innovation leaders. The three-day event will highlight the latest transportation innovations that are being developed and implemented acr
  • IBTTA announces its Toll Excellence Awards
    August 26, 2022
    Trophies will be presented at IBTTA’s Annual Meeting & Exhibition in Austin, TX on 19 September
  • 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