Skip to main content

Ann Arbor opts for Yutraffic Fusion

System can prioritise vulnerable road users, reducing potential conflict points
By David Arminas April 29, 2025 Read time: 2 mins
Downtown Ann Arbor (© Nick Klein | Dreamstime.com)

The US city of Ann Arbor, Michigan, is the first North American city to adopt the Yutraffic Fusion adaptive traffic management system from Yunex Traffic.

Since 2003, Ann Arbor, with a population of around 135,000, has used Yunex Traffic’s adaptive solutions to manage traffic, especially during Michigan football gamedays when the city's population quadruples. The adaptive solutions have optimised traffic flow and saved the city thousands of dollars in retiming costs, which typically occur every three to five years.

As connected and autonomous vehicle technology grows, having a signal system that can accommodate and respond to multi-modal traffic is crucial. 

Public transportation stands to benefit, as Yutraffic Fusion can enhance signal prioritisation for buses and trams, ensuring more reliable schedules and efficient routes.

Yunex says this is the first multimodal adaptive solution, designed to move people efficiently, not just vehicles. First installations in European cities have shown significant improvements compared to conventional traffic control.

By using advanced data inputs and policy-driven controls, the system has the ability to prioritise vulnerable road users, reducing potential conflict points.

In Ann Arbor, it will be compared with existing adaptive technology and tested in cases such as the accelerated deployment of city maintenance vehicles.

“Adaptive technologies have been around for years, but historically they have been clunky and tedious to make the solution respond the way you want,” said Marc Segal, head of US adpative solutions at Yunex Traffic North America. “With Yutraffic Fusion, the menus, screens and workflows are intuitive, making changes easier than ever before.”

For more information on companies in this article

Related Content

  • New capabilities in Trafficware’s upgraded ATMS
    February 3, 2016
    Trafficware has released version 2.4 of its market-leading central traffic management system ATMS.now, an advanced traffic management system (ATMS), used by hundreds of state and local Departments of Transportation around the US. New capabilities in the latest release include: Enhancements to both Google and Bing maps editor screens; A new reporting engine to optimise report generation; Centralised control of documents to be delivered to ATMS users; Performance improvements to increase response times in
  • GIS mapping smoothes ITS operations and increases efficiencies
    January 30, 2012
    Alexander Gerschenkron, the famous economic historian, once posited a benefit for those countries which come late to economic development: that they could introduce the latest technology and thus jump over some of the standard development paths followed by their predecessors . It is entirely possible to make the same observation of late-comers to ITS: that they can gain from the pains of those who went before and more easily implement best practice in ITS. As a consequence, it is entirely likely the Abu Dha
  • Ford Mobility: analytics aids transport proactivity
    April 2, 2020
    Ford Mobility has demonstrated how data analytics can help implement London's transport strategy in areas such as traffic re-timing and in eliminating all road fatalities (Vision Zero) by 2041.
  • US incident management needs national standardisation
    January 26, 2012
    I-95 Corridor Coalition's Tom Martin discusses the state of the art in incident management and what visitors to this year's ITS World Congress can expect of the first ever Emergency Responder-Incident Management Day. Developments in incident management are driven in the main by need. A bald statement, and one which holds no surprises, it nevertheless quantifies the evolutionary process within the I-95 Corridor Coalition over the last decade and more. Spread over 16 states from Maine to Florida, the Coalitio