Skip to main content

SESA connects dynamic messaging signs to the cloud

SES America is showing off two of its latest lines of dynamic messaging signs at ITS America Pittsburgh, highlighting the growing diversity of its product line for customers who are finding more applications for displaying multiple messages on demand.
January 11, 2016 Read time: 2 mins
Philippe Perut of SESA with the dynamic signs

7846 SES America is showing off two of its latest lines of dynamic messaging signs at ITS America Pittsburgh, highlighting the growing diversity of its product line for customers who are finding more applications for displaying multiple messages on demand.

The company’s Mobility line are custom-built dual message signs created with strings of LED lights. The signs can be designed for any size and color and can be tied to road sensors to determine the appropriate message to display. Phil Perut, president of SES America, said the signs are cost-efficient option for applications that require two messages rather than an expensive full-color LED display board. Perut cited an example of a weigh-in-motion application planned in Georgia. As trucks trigger a sensor in the road, a sign indicates a right or left turn depending on the weight of the vehicle.

The company’s DMS Connect signs are connected to the cloud to display travel times in real time. Traditionally, traffic information is captured by road-side sensors and sent to a central traffic control center where travel times are calculated. The information then has to be transmitted back to the signs. Connecting signs directly to the cloud allows travel times to be captured from travel time providers such as Google and TomTom, eliminating the need for dedicated road sensors and networking equipment. Flexibility is also achieved by allowing engineers to change routes remotely—as long as the travel time provider has that capability—while traditional systems are limited to routes where sensors are deployed.

“Virtually the entire world is covered,” said Perut. “You can convey travel time to drivers on arterial roads or in small towns. It’s like having an app deployed directly on the signs.”

Existing SES America signs can be upgraded to include the new cloud connectivity.

Booth: 701

www.sesamerica.com

For more information on companies in this article

Related Content

  • Reading gets message from Swarco
    October 19, 2022
    Traffic management in the UK town has improved since VMS installation, council says
  • Need for simpler urban tolling solutions
    January 10, 2013
    A common assumption, even amongst informed observers, is that there’s but a handful of urban charging schemes in operation around the world and scant prospect of that changing any time soon. Larger city-sized schemes such as Singapore, London and Stockholm come readily to mind but if we take a wider view and also consider urban access control and Low Emission Zones (LEZs) then the picture changes rather radically. There is a notable concentration of such schemes in Europe but worldwide the number is comfort
  • Missouri’s smart solution for rural road monitoring
    July 7, 2017
    David Crawford sees how Missouri is using commercially available information to rapidly improve monitoring and driver information on rural highways. Missouri is a predominantly rural state with the second largest number of farms in the country and agriculture the main occupation in 97 of its 114 counties. US statistics starkly reveal how road accidents in rural areas tend to be more serious than in urban regions and of the 32,000 US motorists killed each year, 54% die on roads in rural areas even though onl
  • IBM and NXP partner on Dutch connected car pilot
    February 21, 2013
    The first results of a smarter traffic pilot, conducted in the Dutch city of Eindhoven by IBM and NXP Semiconductors demonstrate how the connected car automatically shares braking, acceleration and location data that can be analysed by the central traffic authority to identify and resolve road network issues, say the companies. “The trial successfully showed that anonymous information from vehicles can be analysed by local traffic authorities to resolve road network issues faster, reduce congestion and impr