Skip to main content

Traffic Tech Scoops ITS award

Two projects recently implemented by Middle East-based Traffic Tech Group have scooped the Most Innovative ITS Implementation Award at the ITS and Road Safety Awards 2014 at the ITS and Road Safety Forum. The projects, for the Duhail over-height vehicle detection system (OVDS) and the Doha emergency vehicle pre-emption system (EVPS) in Qatar, were awarded to Traffic Tech in 2013. Both were fast tracked and completed in record time, becoming fully operational in early 2014. The Duhail OVDS incorporates
September 23, 2014 Read time: 2 mins
Two projects recently implemented by Middle East-based 279 Traffic Tech Group have scooped the Most Innovative ITS Implementation Award at the ITS and Road Safety Awards 2014 at the ITS and Road Safety Forum.

The projects, for the Duhail over-height vehicle detection system (OVDS) and the Doha emergency vehicle pre-emption system (EVPS) in Qatar, were awarded to Traffic Tech in 2013. Both were fast tracked and completed in record time, becoming fully operational in early 2014.

The Duhail OVDS incorporates a wide range of ITS technologies including the over-height vehicle detection system, variable message signs, CCTV surveillance, control room equipment and integration to Doha’s SCATS urban traffic control system. The system was installed on three approaches of the Duhail Interchange to limit the passage of over-height trucks under the bridge of the interchange.

The Doha EVPS project, in its initial phase, includes the installation of pre-emption equipment at 25 intersections and five roundabouts throughout Doha, and pre-emption transmitters fitted to a total of 30 emergency vehicles. The second phase of the project is in the process of being awarded and would involve a much larger scope, including 50 additional intersections, to cover more critical areas and more emergency vehicles in the country.

“We are truly delighted to have won the Most Innovative ITS award as this represents our commitment to deliver the most advanced ITS technologies in Qatar and in the region”, says Husam Musharbash, Traffic Tech’s president and CEO. “We dedicate this award and extend our gratitude to the Public Works Authority, Ashghal for their continued trust and confidence in Traffic Tech and for making us a part of Qatar’s ITS infrastructure developments”, he added.

Related Content

  • Cost Benefit: Utah traffic light scheme pays dividends
    March 15, 2019
    A traffic signal control scheme in Utah is being taken up by other US authorities. David Crawford finds out how the Beehive State is leading the way in DoT and driver savings Growing numbers of US state departments of transportation (DoTs) and their road users are gaining real financial benefits from an advanced approach to traffic signal monitoring recently developed in Utah. Central to the system is its use of automated traffic signal performance measures (ATSPM) technology, brought in to improve th
  • 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
  • Keeping over-height and overheating vehicles out of tunnels
    October 7, 2013
    A review of pre-warning solutions for problematic commercial vehicles approaching tunnels
  • ITS need not reinvent machine vision
    October 29, 2014
    Machine vision techniques hold the potential to solve a multitude of challenges facing the transportation sector Optical Character Recognition (OCR), the base technology for number plate recognition, has been in industrial use for more than three decades. It is a prime example of how, instead of having to start from scratch, the transportation sector can leverage and adapt the machine vision expertise already used in industry in order to provide robust solutions with new capabilities. “The real val