Skip to main content

Siemens signs partnership agreement with OptaSense

A new two-year traffic monitoring partnership between Siemens and OptaSense, a QinetiQ company, has been agreed to further explore the performance and potential commercial deployment of OptaSense Distributed Acoustic Sensing (DAS), a fully networked traffic monitoring solution for the UK traffic industry. The partnership follows successful road monitoring trials by OptaSense in the UK and overseas comparing the performance of the DAS system with conventional inductive loop technology to provide information
March 12, 2015 Read time: 2 mins
A new two-year traffic monitoring partnership between 189 Siemens and 6910 OptaSense, a 2230 QinetiQ company, has been agreed to further explore the performance and potential commercial deployment of OptaSense Distributed Acoustic Sensing (DAS), a fully networked traffic monitoring solution for the UK traffic industry.
 
The partnership follows successful road monitoring trials by OptaSense in the UK and overseas comparing the performance of the DAS system with conventional inductive loop technology to provide information on average speed, journey times and congestion.

According to Gordon Wakeford, managing director, distributed fibre sensing could have the potential to greatly reduce the monitoring cost for road operators. “Siemens has a long heritage in providing traffic management solutions and we are always looking to bring forward innovation within our industry and are impressed with the potential for DAS to perform many of the functions currently achieved with existing roadside equipment. We look forward to exploring the potential of OptaSense DAS with our customers,” he said.
 
Unlike inductive loops, which are concealed beneath the road surface, DAS uses fibre optic cables already installed alongside the carriageway, removing the need for lane closures during installation or maintenance and improving safety for highway workers.
 
DAS technology works by firing a laser down a fibre optic cable and measuring any disturbance to the laser and analysing it to create a series of microphones every 10 metres, thereby eliminating blind spots and potentially reducing incident response times.

For more information on companies in this article

Related Content

  • Manchester seeks smart but not selective transport solutions
    January 25, 2018
    Smarter transport relies on better communications both with travellers and between transport providers. Andrew Williams reports. Inrix’s prediction that the cost of traffic congestion will rise by 63% to £21bn per year by 2030 clearly illustrates that, in addition to the ongoing inconvenience and inefficiency, ongoing gridlock is a significant drain on the economy. It is against this backdrop that a Cisco-led consortium has launched CitySpire, a smart transport programme that uses location-based services a
  • Laser Technology ‘looks-down’ for traffic data collection
    October 11, 2016
    Laser Technology is exhibiting a twin laser/fourcamera ‘look-down’ system that can count and profile vehicles into a number of categories as well as measure speed and the headway between vehicles. The unit, which is mounted beneath motorway gantries, contains forward and rear facing CCTV and ANPR cameras and is said to provide accuracy of 2cm even when vehicles are travelling at speeds of 120km/h. In comparison to side fire lasers, the single-lane look-down configuration is claimed to offer better vehicl
  • Motability gives grant to TRL and RiDC for accessibility research
    October 31, 2023
    Focus is development of accessible automated transport for people with disabilities
  • On a WIM – a global view of weigh in motion
    May 25, 2016
    Q-Free’s Andrew Lees looks at regional characteristics and technology trends in the global Weigh-In-Motion market. The principles of Weigh-In-Motion (WIM) are well established. Data derived from vehicles passing over in-ground sensors can be interpreted for vehicle classification (axle counts and spacing) and positive identification (especially when linked to image capture) applications as well as to derive individual axle and gross vehicle weight (GVW).