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

  • Artificial Intelligence applications for commercial vehicle operations
    December 28, 2021
    The combination of machine learning, deep neural networks and computer vision provides opportunities to address in new ways an increasing range of functions that are a part of commercial vehicle operations. Here, IRD’s Rish Malhotra details how.
    Read More
  • Cubic adds NextBus to solutions portfolio
    January 25, 2013
    Cubic Transportation Systems has broadened its portfolio of transportation solutions with the acquisition of NextBus from Webtech Wireless. The US-based integrator of payment and information technology and services for intelligent travel solutions says the acquisition also positions NextBus to accelerate its growth by leveraging Cubic's global presence and customer base. NextBus is a software-as-a-service (SaaS) solution that accurate, real-time arrival information for buses, subways and trains. The system
    Read More
  • Getting C/AVs from pipedream to reality
    October 17, 2019
    The UK government has suggested that driverless cars could be on the roads by 2021. But designers and engineers are grappling with a number of difficult issues, muses Chris Hayhurst of MathWorks Earlier this year, the UK government made the bold statement that by 2021, driverless cars will be on the UK’s roads. But is this an achievable reality? Driverless technology already has its use cases on our roads, with levels of autonomy ranked on a scale. At one end of the spectrum, level 1 is defined by th
    Read More
  • Consumer telematics driving automotive electronics
    February 3, 2012
    This year's Consumer Electronics Show in Las Vegas was characterised by consumer telematics solutions, writes Dave McNamara
    Read More

Highlighted Content