Vaisala RWS200 deployed on Aurora Smart Road

Vaisala is displaying its RWS200, a road weather information system that is playing a crucial role on Finland’s Aurora Smart Road, implemented by the Finnish Transport Agency, and equipped to fit research and development needs in the field of smart transport. Information on the road surface state is crucial for researching and developing automatisation, supported driving and maintenance in Arctic traffic.
March 20, 2018 Read time: 2 mins
The weather man: Olli Puuri with the Vaisala weather system
144 Vaisala is displaying its RWS200, a road weather information system that is playing a crucial role on Finland’s Aurora Smart Road, implemented by the Finnish Transport Agency, and equipped to fit research and development needs in the field of smart transport.


Information on the road surface state is crucial for researching and developing automatisation, supported driving and maintenance in Arctic traffic.

The RWS200 is intelligently designed, with sophisticated algorithms and smart power management.  Its compatibility with various sensors makes it a complete road weather information solution.

Vaisala and the Finnish Meteorological institute (FMI) installed the RWS200 station in Muonio in November 2017 to help to monitor the state of the road surface. The station observes whether the surface is dry, wet, icy or snowy, and provides information on its temperature as well as wind and visibility conditions on the road. Data from the RWS200 is being incorporated in the Finnish Transport Agency's Digitraffic service.

The Aurora Smart Road provides an open and versatile test environment for everyone working with R&D and aiming to develop smart traffic, enabling the development of new solutions to fit the needs of smart transport, automated driving and smart road asset control.

"The RWS200 road weather station is now part of the smart infrastructure of the Aurora Smart Road that includes smart roadside markings, high resolution maps and location information” said Vaisala’s Iiro Salkari. “In addition to the smart road infrastructure, the Arctic environment and its requirements make the project unique.”

Vaisala is also a member of the international Aurora Network, in which the company looks for partners in order to develop its road weather station and services for the automated transportation of the future.

Stand 12.822

%$Linker: 2 External <?xml version="1.0" encoding="utf-16"?><dictionary /> 0 0 0 link-external www.vaisala.com false http://www.vaisala.com/ false false%>

Related Content

  • March 27, 2018
    Your life in their hands
    Rail, bus and taxi operators are realising significant savings by switching to ride scheduling, booking and monitoring apps that help them greatly automate their operations - while simultaneously offering their smartphone-wielding passengers the information they crave. Indeed, most of today’s transportation apps offer customers instant access to your system via mobile phone, where they can book and pay for a ride, get real-time status on their train, bus, or taxi - greatly reducing the overhead you normally
    Read More
  • March 21, 2018
    Squalio’s shows smart city connectivity at Intertraffic debut
    Latvian company Squalio is exhibiting at Intertraffic for the first time to publicise its ‘all-in’ smart city system called Fits (future intelligent transportation system). Feed from any make or type of sensor, controller, camera or variable message sign within a city can be taken in and the system converts the data into a common format. It then provides an overview of the entire network with green/ yellow/red colour coding to illustrate which parts of the network (both the traffic flow and the management
    Read More
  • May 31, 2013
    Connected cones make for safer sites
    David Crawford welcomes new lives for old road safety products. Traffic cones and barrels have traditionally been on the bottom shelf of the road construction and maintenance industry, typically forming visible soft safety barriers for temporary works at a lower cost than concrete alternatives. On both sides of the Atlantic, however, they are fast gaining new roles as instrumented components in advanced construction safety arrays. The EC-sponsored €1 million (US$1.31 million) Safelane collaborative innovati
    Read More
  • February 23, 2018
    Companies depend on automation, AI and machine learning for cyber security
    To defend against cyber attacks, 39% of organisations are reliant on automation, 34% on machine learning and 32% on artificial intelligence (AI), according to the Cisco 2018 annual report conducted on 3,600 chief information security officers. It found that over half of all attacks resulted in financial damages of more than $500,000 (£697,000), including, but not limited to, lost revenue, clients, opportunities, and out-of-pocket costs. The study revealed that adversaries are using Malware sophistication
    Read More

Highlighted Content