Skip to main content

ISS Autoscope supporting Winter Olympics traffic management

Image Sensing Systems’ (ISS) Autoscope RTMS G4 radars are in use in Sochi, Russia to support traffic management at the 2014 Winter Olympics. The radars were provided by ISS’ regional partner Allied Global to the Olympic Games Transport Directorate, which is responsible for the operation of the traffic management system. Autoscope RTMS G4 is being used to monitor traffic conditions, display speed-map representation of the highway and determine travel time for commuters. The traffic management system inc
February 21, 2014 Read time: 2 mins
6626 Image Sensing Systems’ (ISS) 6575 Autoscope RTMS G4 radars are in use in Sochi, Russia to support traffic management at the 2014 Winter Olympics.  The radars were provided by ISS’ regional partner Allied Global to the Olympic Games Transport Directorate, which is responsible for the operation of the traffic management system.  Autoscope RTMS G4 is being used to monitor traffic conditions, display speed-map representation of the highway and determine travel time for commuters.

The traffic management system includes a number of Autoscope RTMS G4 units that were installed on the road network from the city of Sochi to Krasnay Polyana, also known as the Mountain Cluster.  Data is sent to the Sochi traffic management centre every five minutes for monitoring.  The system also monitors the working conditions of the traffic counting stations.

Dan Skites, managing director of Traffic Management for Europe, Middle East, Africa and Asia-Pacific for Image Sensing Systems said, “With increased traffic expected during the Olympics, the Olympic Games Transport Directorate needed a traffic management solution that was accurate, cost effective and non-intrusive to the roadways.  The Autoscope RTMS G4 was able to fulfil their need by offering an above-ground radar based sensor that works in conjunction with traffic management software to deliver accurate traffic reporting that can be provided to third parties to inform travellers.”

Related Content

  • June 6, 2016
    ISS launches integrated radar and Bluetooth traffic sensor at ITSA 2016
    Image Sensing Systems (ISS) will use ITS America 2016 San Jose to introduce the industry first RTMS Sx-300 with integrated Bluetooth sensor to its traffic management product line. The device is a powerful tool that agencies can use to better manage traffic. The combination of the RTMS radar with the robust Bluetooth sensor is the ideal solution for incident detection and providing traffic managers with highly accurate travel time and origin/destination information.
  • April 10, 2012
    Why integrated traffic management needs a cohesive approach
    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
  • October 17, 2013
    ISS CitySync aids city safety and efficiency
    In a project designed to align law enforcement, traffic and security with innovative technology and data analytics to improve safety and efficiency, Image Sensing Systems is dedicating significant resources to its CitySync initiative to improve safety and efficiency for cities and highways.
  • November 3, 2015
    Florida DOT approves ISS radar sensor
    The Florida Department of Transportation (FDOT) Traffic Engineering Research Laboratory (TERL) has approved Image Sensing Systems’ RTMS Sx-300 radar detector, which was evaluated against the extensive requirements of FDOT specification 660. The non-intrusive, radar-based RTMS Sx-300 is a small roadside pole-mounted radar sensor for the detection and measurement of traffic, operating in the microwave band. It simultaneously provides per-lane presence, volume, occupancy, speed and classification informati