ISS introduces Cyclescope bicycle detection feature

Image Sensing Systems is using the ITS World Congress to introduce Cyclescope, the new bicycle differentiation and detection feature in the Autoscope software suite. According to the company, the new feature enhances bicycle detection capability and adds the ability to differentiate between bicycles and motorised vehicles as they approach the junction. A significant advantage is that it doesn’t require additional roadway markings, product purchases, equipment installations or maintenance.
October 6, 2015 Read time: 2 mins
Greg McKhann: "Bicycle safety is a growing concern"

6626 Image Sensing Systems is using the ITS World Congress to introduce Cyclescope, the new bicycle differentiation and detection feature in the Autoscope software suite.

According to the company, the new feature enhances bicycle detection capability and adds the ability to differentiate between bicycles and motorised vehicles as they approach the junction. A significant advantage is that it doesn’t require additional roadway markings, product purchases, equipment installations or maintenance.

"The Autoscope Cyclescope feature can not only detect but also differentiate bicycles made of any material on any approaching lane at no additional cost,” said Greg McKhann, General Manager – Traffic Management at Image Sensing Systems. “Bicycle safety is a growing concern and requirement of many cities and municipalities.”

The Cyclescope feature allows traffic engineers to offer bicycle timings in their traffic control strategy with minimal changes to the junction control configuration, without having to make changes to the traffic controller.

Agencies can configure the data collection to help them demonstrate the success of their bicycle-friendly programmes.

Image Sensing Systems says Cyclescope is available in many Autoscope technology products including Autoscope Pn-520, Autoscope Pn-500 detector cards, Autoscope Encore, Autoscope Duo, Autoscope Solo models and Autoscope RackVision Terra and can be easily implemented into current installations.

Related Content

  • February 21, 2013
    City of Greenville adopts Wavetronix traffic sensor technology
    The US City of Greenville has begun phasing in new vehicle detection technology at its traffic signals. The state-of-the-art traffic sensors are expected to provide numerous benefits to motorists including improved safety, cost savings, greater mobility and increased productivity. The city’s 115 vehicle-activated signalised intersections currently have more than 900 in-road sensors that detect the presence of vehicles. The loop detectors, which have been widely used throughout the US for more than four de
    Read More
  • October 29, 2014
    Xerox counts on machine vision for high occupancy enforcement
    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
  • June 27, 2014
    ISS expands cloud offerings with CitySync RaaS
    Image Sensing Systems has launched its first software-only product, CitySync Recognition as a Service (RaaS), a solution which gives any and all businesses and governments the power to use and access the state-of-the-art CitySync licence plate recognition (LPR) engine. CitySync RaaS is an annual service that provides organisations with a fast, accurate automated licence plate recognition engine. This stand-alone solution can be implemented into any size organisation or infrastructure without the need fo
    Read More
  • November 23, 2021
    Iteris unveils AI detection solution
    Vantage Apex combines combines FHD video, radar and AI in hybrid traffic solution
    Read More

Highlighted Content