Telvent to implement light rail priority system in Morocco

In a contract valued at US$3.2 million, Telvent is to implement its SmartMobility Light Rail solution on the new light rail system that will connect the Moroccan cities of Rabat and Salé.
February 2, 2012 Read time: 2 mins

In a contract valued at US$3.2 million, 134 Telvent is to implement its SmartMobility Light Rail solution on the new light rail system that will connect the Moroccan cities of Rabat and Salé. Comprising a total of 32 stations along its 18 kilometre extension, the new light rail system is scheduled to begin operating by 2011.

SmartMobility will enable Rabat authorities to effectively coordinate interaction between the new light rail network and city traffic, with the capability to give priority at any time to light rail over private transportation in cases where it is considered to be suitable. This will help minimise light rail system delays and undue standstills, thereby enhancing city road safety levels.

The system to be installed by Telvent is based on selective light rail detection through simultaneous use of radio frequency and magnetic induction, which will permit the system to determine the point at which the light rail train is approaching an intersection. Once detected, the system will make the decision to give priority to the light rail train on the basis of actual traffic conditions, which the system will have determined through micro-regulation tools for intersection traffic that are based on artificial vision analysis systems.

Specifically, Telvent will develop and implement management software, in addition to traffic regulators and road and light rail signalling, based on LED-type technology, allowing energy savings of up to 70 per cent as against current technology.

Manuel Sanchez, Telvent’s chairman and CEO, comments, “Our solution will help the city of Rabat to coordinate the interaction between light rail and city traffic in an effective manner, delivering an unequivocal enhancement to urban mobility.”

For more information on companies in this article

Related Content

  • US state of the art workzone safety
    January 25, 2012
    The Texas Transportation Institute's Jerry Ullman talks about the state of the art in work zone safety in the US. Work zones are places where, perhaps more than anywhere else on the road network, mobility and safety are strongly linked. Historically, field crews and contractors wanted vehicles in work zones to be moving as slowly as possible, assuming that made conditions the safest for work crews. We are though starting to see a shift in such thinking with the realisation that excessive delays or slow-down
    Read More
  • Iteris' $3.3m intersection deal solves dilemma
    May 18, 2021
    City of Modesto, California, will improve traffic flow while saving money, says Iteris
    Read More
  • 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
    Read More
  • Challenges and benefits of adaptive signal control
    April 23, 2013
    Delcan’s Joe Lam, who managed the first computerised signal system in the world, provides an expert insight into adaptive signal control. There are no gadgets in the world that regulate our daily behaviour as much as traffic signals, except perhaps our mobile phones. It has been estimated that the daily commuter goes through at least 10 signals on his journey to work. However, unlike mobile phones, traffic signals cannot be ignored or switched off by their daily users, at least not without legal consequence
    Read More

Highlighted Content