Skip to main content

Introducing Reno’s new multi-function loop detector

The latest multi-function inductive loop vehicle detectors from intelligent transportation systems supplier Reno A&E are designed to reliably detect all vehicles, as well as differentiating cycles from all other vehicles. The Model C-1101-B and C-1201-B detectors are available in 170/2070, NEMA TS1/TS2, ITS and ATC cabinet configurations. The company claims both models allow the traffic engineer to detect and provide safe passage time for cycles without compromising the intersection’s operating efficiency.
August 2, 2013 Read time: 2 mins
The latest multi-function inductive loop vehicle detectors from intelligent transportation systems supplier Reno A&E are designed to reliably detect all vehicles, as well as differentiating cycles from all other vehicles.

The Model C-1101-B and C-1201-B detectors are available in 170/2070, NEMA TS1/TS2, ITS and ATC cabinet configurations.

The company claims both models allow the traffic engineer to detect and provide safe passage time for cycles without compromising the intersection’s operating efficiency. 

Additional passage time for bicycles can be provided by either the loop detector or the controller.  Cycles receive additional green time for safe passage through intersections, while minimum passage time for motorised vehicles is maintained.

The detectors provide two outputs per channel. The primary output provides ‘call’ outputs for all vehicles, including motorcycles and cycles. The primary output can be programmed for lane line ‘LL’ mode, which only outputs for cycles. The secondary output provides a single pulse for each bicycle. The company claims both models allow the traffic engineer to detect and provide safe passage time for cycles without compromising the intersection’s operating efficiency.  This unique capability to identify bicycles from other vehicles allows the technician to program initial time and extension time in the detector for bicycles only, thus providing a safe passage time through intersections.

Related Content

  • How ITS helped Coachella get its groove back
    November 15, 2024
    California’s Coachella Valley attracts visitors to myriad music and sports events. But now an ambitious traffic management initiative aims to cut travel times and reduce emissions. Adam Hill talks to the engineers involved in the massive CV Sync project
  • 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
  • CA Traffic displays BlackCAT Traffic Monitor
    April 5, 2016
    At CA Traffic cycle detection has always had a strong focus as visitors to the company’s stand here at Intertraffic will see. As CA Traffic points out, the increase in cycle safety projects has led to new developments and advanced hardware deployment utilising multiple detection technologies for a vast number of scenarios. The BlackCAT Traffic Monitor uses inductive loop technology to provide cycle detection at permanent sites. In its simplest form this allows bicycles to be detected and reported historical
  • Why integrated traffic management needs a cohesive approach
    April 10, 2012
    Traffic control is increasingly being viewed as one essential element of a wider ‘system of systems’ – the smart city. Jason Barnes, Jon Masters and David Crawford report on latest ideas and efforts for making cities ‘smarter’ Virtually every element of the fabric and utilitarian operations that make urban areas tick can now be found somewhere in the mix that is the ‘smart city’ agenda. Ideas have expanded and projects pursued in different directions as the rhetoric on making cities ‘smarter’ has grown. App