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.”
Detection, Monitoring & Machine Vision Classification & Data Collection

For more information on companies in this article

Related Content

  • Intelligent parking guidance relieves congestion, reduces costs
    July 24, 2012
    O R Tambo International Airport, near the city of Johannesburg, is the largest airport in Africa. It serves as the primary airport for domestic and international travel to/from South Africa and is one of 10 airports operated by Airports Company South Africa (ACSA). This airport places a massive demand on road infrastructure and parking facilities since a majority of travellers get to the airport by motor vehicle. The demand for parking left many people searching for a parking space for eight minutes or more
    Read More
  • Vehicle analytics market ‘to grow by 26 per cent by 2022’
    September 19, 2017
    A new market research report by MarketsandMarkets estimates that the market for vehicle analytics will grow from US$1124.1 million in 2017 to US$3637.4 million by 2022, at a Compound Annual Growth Rate (CAGR) of 26.5 per cent. According to the report, the major driving factor for this market remains advances in technologies, such as machine learning, artificial intelligence (AI) and predictive maintenance to enhance fleet management, as well as increasing use of real-time data collected from sensors and
    Read More
  • Machine vision - cameras for intelligent traffic management
    January 25, 2012
    For some, machine vision is the coming technology. For others, it’s already here. Although it remains a relative newcomer to the ITS sector, its effects look set to be profound and far-reaching. Encapsulating in just a few short words the distinguishing features of complex technologies and their operating concepts can sometimes be difficult. Often, it is the most subtle of nuances which are both the most important and yet also the most easily lost. Happily, in the case of machine vision this isn’t the case:
    Read More
  • ISS shows positive growth
    February 27, 2014
    Despite a five per cent decrease in revenue in the last quarter of 2013, US$6.5 million compared to US$6.8 million in 2012, Image Sensing Systems (ISS) posted an increase in total revenue for 2013, at US$26.3 million, up five per cent from US$25.0 million in 2012. Full year 2013 product sales increased 17 percent over 2012, to US$14.7 million, while Autoscope licence plate recognition (LPR) 2013 product revenue grew 34 percent over 2012, to US$6.4 million. The company continues to invest in research, de
    Read More

Highlighted Content