Skip to main content

Siemens SCOOT improves travel times in Ann Arbor

Siemens real-time traffic control system, SCOOT (Split Cycle Offset Optimisation Technique), has reduced Ann Arbor, Michigan’s weekday travel times along the Ellsworth Corridor by 12 percent and weekend travel time by 21 percent, according to the company. Based on these results, the city has decided to operate all downtown intersections with SCOOT technology in the upcoming year. The Siemens SCOOT technology takes an adaptive approach to traffic management, allowing sensors at an intersection to detect v
March 6, 2017 Read time: 1 min
189 Siemens real-time traffic control system, SCOOT (Split Cycle Offset Optimisation Technique), has reduced Ann Arbor, Michigan’s weekday travel times along the Ellsworth Corridor by 12 percent and weekend travel time by 21 percent, according to the company. Based on these results, the city has decided to operate all downtown intersections with SCOOT technology in the upcoming year.

The Siemens SCOOT technology takes an adaptive approach to traffic management, allowing sensors at an intersection to detect vehicle volumes and communicate with the city’s control centre and signals to change traffic patterns in real-time.

In addition to improving traffic flow, the SCOOT system also helps Ann Arbor enhance its operations. According to officials, the system optimises traffic flow and does so reliably utilising automatic monitoring systems.

For more information on companies in this article

Related Content

  • London's new Silvertown Tunnel set to open
    January 13, 2025
    TfL says average peak journey times expected to be 20 minutes quicker
  • 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
  • ‘What’s the optimum number of cooks?’ asks Valerann
    October 23, 2023
    ITS Software as a Service specialist explains in detail how cross-source, cross-type, deep data fusion is solving global traffic accident conundrums
  • Tunnel simulators vital for real world tunnel management
    January 23, 2012
    Guillaume Ponsar, tunnel safety engineer with Egis Road Operation, writes about the advantages to be gained from the use of tunnel simulators. Major tunnel disasters over the last decade and more have shown how swiftly and badly a simple crash or fire may evolve should the wrong actions be taken by control room operators or traffic managers. Global safety issues and the reactions of operations staff have now become the principal concerns for Operations and Maintenance (O&M) service providers. As a result, n