Skip to main content

Vaisala mobile tour reaches Washington

Team Vaisala has arrived at National Harbor with its Ford F150 XLT pick-up truck at the end of an 18,350 mile trip across America demonstrating the company’s mobile monitoring technology. For the past three months Vaisala has taken the truck on a road trip from Colorado to Washington, DC, via California, Montana, Minnesota, Missouri, Michigan and at least another 20 US states on its way to arriving at National Harbor this week.
May 22, 2012 Read time: 2 mins
Antony Coventry from Vaisala arrives with the team after an 18,350 mile trip across America
Team 144 Vaisala has arrived at National Harbor with its 278 Ford F150 XLT pick-up truck at the end of an 18,350 mile trip across America demonstrating the company’s mobile monitoring technology. For the past three months Vaisala has taken the truck on a road trip from Colorado to Washington, DC, via California, Montana, Minnesota, Missouri, Michigan and at least another 20 US states on its way to arriving at National Harbor this week.

En route, six Vaisala regional sales managers have driven the F150 gathering pavement weather condition data from roads at traffic speed; the truck being fitted with the company’s Condition Patrol weather monitoring system. This uses lasers working at different frequencies to measure levels of grip, wetness and temperature to allow agencies to gather data on road conditions across long distances in realtime.

The Condition Patrol sensors and on board computer are linked via wireless communication to a dashboard-mounted smartphone which transfers data via GSM to a cloud data hosting service. “Ultimately, agencies can get live data on road conditions for making decisions on treatment or relaying information back to drivers,” says Vaisala Application Manager Tony Coventry.

%$Linker: External 0 0 0 oLinkExternal <span class="mouselink">MobileTour.Vaisala.com</span> MobileTour.Vaisala.com false http://mobiletour.vaisala.com/ false false%>

For more information on companies in this article

Related Content

  • Denso displays largest head-up display images to be used in a vehicle environment
    October 24, 2012
    Denso is showing what it says are the largest head-up display (HUD) images to be used in a vehicle environment. Its system – although in a slightly smaller format – has already been installed in Kia’s new K9 luxury car and Denso says it is in talks with US and European manufacturers over adopting the system. The image area produced by the HUD on Denso’s stand measures 230 x 90mm, with road information such as speed limits and directions being projected into the driver’s line of sight.
  • Moxa real-time ITS network automation at Intertraffic
    February 6, 2014
    Moxa, a global provider of industrial automation solutions, will use Intertraffic Amsterdam 2014 to highlight a range of products that enable faster and critical decisions on road traffic events with highly efficient real-time solutions that enable network convergence and edge-to-core continuity. The company says its industrial networking solutions deliver dynamic mixes of voice, video and data in up to 10GbE speed, as well as resilient ring technology, that allows extensible transmission up to 120km and gu
  • Last call for Gulf Traffic award nominations
    September 20, 2016
    Time is running out to submit nominations for the 2016 Gulf Traffic awards, which honour those companies and persons who have shown their commitment to developing and improving projects, initiatives or products for the benefit of the public and the region. Categories include: best new parking produce or supplier; ITS product of the year; consultancy of the year; contractor of the year; TRL student award; product innovation award; and many others. Submit nominations before 25 September 2016. More infor
  • Real time transportation management on show at ITS World Congress
    October 19, 2012
    Selex Elsag, a Finmeccanica company, will use the ITS World Congress to highlight its Mobility Management System that allows real-time central management of a transportation network. It collects data from different remote sensors and processes them through the application of algorithms, to predict, control and optimise traffic conditions of people and goods. By integrating a variety of data, applications and communications layers to foster the creation of a valuable set of information, the system can suppor