Iteris enhances SmartCycle cycle detection

Iteris has released a third generation SmartCycle cycle detection and differentiation algorithm for its Vantage video detection platform. SmartCycle provides the unique capability of distinguishing cycles from other vehicles across all lanes of traffic. When a cycle is detected at an intersection, the system extends the green light for that phase, ensuring the cyclist is able to safely cross the intersection. This new generation enhances the accuracy and capabilities of the system to detect and diff
May 7, 2015 Read time: 2 mins
73 Iteris has released a third generation SmartCycle cycle detection and differentiation algorithm for its Vantage video detection platform.

SmartCycle provides the unique capability of distinguishing cycles from other vehicles across all lanes of traffic. When a cycle is detected at an intersection, the system extends the green light for that phase, ensuring the cyclist is able to safely cross the intersection.

This new generation enhances the accuracy and capabilities of the system to detect and differentiate cycles in unique situations such as bike boxes, lane splitting and other real-world and innovative configurations that are becoming more popular throughout the country. In addition to a more accurate and flexible detection algorithm, the system also provides enhancements in handling multiple approaching bicycles and improved bike counting accuracy.

“SmartCycle has been very successful and was the first in the industry to combine both vehicle and bicycle differentiation into a single detection system,” said Todd Kreter, senior vice president and general manager, Roadway Sensors at Iteris. “As we continue to improve and enhance our algorithms, the need for bicycle differentiation should continue to be at the forefront, ensuring proper detection of this growing mode of transportation on the roadways.”

SmartCycle is included in new installations of Iteris' Vantage video vehicle detection technology.
Urban Traffic Control

For more information on companies in this article

Related Content

  • Intersection collision avoidance system trial
    January 31, 2012
    Although much of the emphasis of research into intersection management has tended to concentrate on the needs of urban locations, there remain specific issues pertaining to rural intersections which need to be addressed. Here, Rebecca Szymkowski and Greg Helgeson, Wisconsin DOT, Todd Szymkowski, University of Wisconsin-Madison, and Craig Shankwitz and Arvind Menon, University of Minnesota detail progress on an intersection collision avoidance system for more remote locations.
    Read More
  • App informs drivers of delays during Long Beach bridge replacement
    June 6, 2014
    David Crawford previews a work zone travel breakthrough. In February 2014, the Port of Long Beach in California launched what it claims is a groundbreaking construction zone navigation aid - LB Bridge mobile app. The app is designed to help drivers during the Gerald Desmond Bridge replacement programme by keeping them up to date on activity and the ensuing traffic diversions when construction starts in summer 2014. The unusually content-rich app is designed to convey current project news (enlivened by phot
    Read More
  • Xerox counts on machine vision for high occupancy enforcement
    October 29, 2014
    Machine vision techniques can provide solutions to some of the traffic planners most enduring problems With a high proportion of cars being occupied by the driver alone, one of the easiest, most environmentally friendly and cheapest methods of reducing congestion is to encourage more people to travel in each vehicle. So to persuade people to share rides, high occupancy lanes were devised to prioritise vehicles with (typically) three of more people on board and in some areas these vehicles are exempt from
    Read More
  • Weighing up the future with AI
    April 14, 2022
    There is broad agreement that artificial intelligence will be an important part of Weigh in Motion as we go forward – but Adam Hill finds that not everyone agrees quite how close we are to that point
    Read More

Highlighted Content