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

  • Growth of ANPR applications for enforcement, tolling and more
    February 1, 2012
    Automatic number plate recognition continues to find new applications beyond the traditional. In coming years, we can expect the application set to grow significantly Moore's Law has seen to it that computer processing power has improved out of all comparison in the 30-plus years since the first working Automatic Number Plate Recognition (ANPR) system was created by the UK's Police Scientific Development Branch. The attendant increases in systems' capabilities have resulted in ANPR being deployed globally
    Read More
  • Machine vision’s image of road management’s future
    June 11, 2015
    Q-Free’s Marco Sinnema looks at how the commoditisation of high-quality vision-based solutions is widening their application. Machine vision technology’s entry into the ITS/traffic management sector has followed a classic top-down path. This is unsurprising given the extremely demanding performance criteria which are the standard in its market of origin, manufacturing processing. Very high image qualities combined with frame rates often in the hundreds per second range resulted in vision systems with capabi
    Read More
  • Iteris to automate real-time signal timing in Washington DC
    May 5, 2015
    Iteris, as part of the Daniel Consultants (DCI) team, has been selected by the District of Columbia Department of Transportation (DDOT), to upgrade and implement an adaptive traffic signal control system on three major arterial roads in the Washington, DC area. Iteris’ contract value for this work is approximately US$714,000 and is expected to commence immediately. DDOT is building an adaptive signal control system in order to provide more efficient signal operations and as part of this effort, is i
    Read More
  • Germany's approach to adaptive traffic control
    February 3, 2012
    Jürgen Mück, Siemens AG, describes the three-level approach taken in Germany to adaptive network control
    Read More

Highlighted Content