First UK trial of Siemens cloud-based traffic management

Siemens Stratos journey time application is undergoing its first UK trial with South Gloucestershire Council. The council is trialling the system using data from a network of automatic number plate (ANPR) cameras to monitor the reliability of traffic times on key corridors and provide a baseline for measuring the impact of network strategies and improvements. Developed using the latest cloud-based technology, Siemens says Stratos delivers scalable real-time traffic management, information and control; fr
October 9, 2013 Read time: 2 mins
189 Siemens Stratos journey time application is undergoing its first UK trial with South Gloucestershire Council. The council is trialling the system using data from a network of automatic number plate (ANPR) cameras to monitor the reliability of traffic times on key corridors and provide a baseline for measuring the impact of network strategies and improvements.

Developed using the latest cloud-based technology, Siemens says Stratos delivers scalable real-time traffic management, information and control; from basic monitoring to strategic control of complex urban traffic environments. As a hosted solution, it offers high levels of availability, accessibility and support, in a cost effective manner and with the minimum of IT investment.

Stratos uses ANPR or Bluetooth data to calculate journey times and includes a data fusion algorithm developed by Siemens in conjunction with the Transportation Research Group at the University of Southampton. It offers flexible deployment options and browser based user interfaces with easy workflows to address individual customer requirements.
Detection, Monitoring & Machine Vision Networking & Communication Systems Urban Traffic Control

For more information on companies in this article

Related Content

  • Affordable and versatile traffic data
    January 20, 2012
    Houston TranStar, which has been collecting travel time and segment speed data using vehicle probe data since 1995, has an extensive coverage area that envelops most local commuters' daily freeway routes. However, expanding the existing Automated Vehicle Identification (AVI) system would be cost-prohibitive except for high-volume freeways. The partners of the Houston TranStar consortium needed a new method to measure speeds and travel times on arterial roadway systems and rural freeways. Instead of using co
    Read More
  • ANPR technology aids barrier-free parking
    May 22, 2012
    APT Controls Group CEO Dermot Murphy introduces a new suite of parking solutions and explains the benefits of barrier free parking systems Following its acquisition of Parking Applications in September 2011, the APT Controls group is launching a new barrier-less parking and payment solution called Veri-park. This is based on proven automatic number plate recognition (ANPR) technology and flexible payment channels. At present the concept of barrier-less parking using ANPR is still a relatively new one, which
    Read More
  • Dynamic charging boosts electric vehicles’ potential
    December 16, 2014
    With an increasing need to use electric vehicles in city centres to reduce pollution, David Crawford looks at various solutions to power delivery. The UN’s September 2014 Climate Summit has added fresh momentum to the drive to increase urban electric vehicle (EV) takeup. It has launched the Urban Electric Mobility Initiative, which wants to see EVs accounting for 30% of all urban travel by 2030, and make cities worldwide more friendly to their use. Encouragingly, the plan is being well supported by commerci
    Read More
  • Cubic: predictive analytics is putting fortune tellers out of business
    November 23, 2018
    The rise of machine learning and artificial intelligence means that fortune tellers will soon be out of business. Ed Chavis takes a behind the scenes look at the world of predictive analytics ver since organisations started taking advantage of insights derived from Big Data, data scientists concentrated their efforts on the ability to make correct assumptions about the future. A few years later, with the help of automation, developments in machine learning (ML) and advancements in the application of a
    Read More

Highlighted Content