Skip to main content

Gewi promotes TIC software at World Congress

Gewi has an important message for Departments of Transport at this ITS World Congress. As the company points out, distribution of accurate traffic and travel event information to the public is a key step in the traffic management process for DOTs. Today, with more commuters relying on in-vehicle, portable and smart-phones for navigation, it is critical that DOTs are able to provide their data to all of these devices as well as social media, websites and other systems.
September 8, 2014 Read time: 2 mins
Andrew Kristoffy of Gewi

1862 Gewi has an important message for Departments of Transport at this ITS World Congress. As the company points out, distribution of accurate traffic and travel event information to the public is a key step in the traffic management process for DOTs. Today, with more commuters relying on in-vehicle, portable and smart-phones for navigation, it is critical that DOTs are able to provide their data to all of these devices as well as social media, websites and other systems.

Gewi’s TIC software is designed to use the same navigable maps that are present in these devices to ensure precise location of traffic information.
 In fact, many automotive manufacturers use the NavTest feature of TIC to test traffic data to ensure it is correctly displayed in their navigation systems. And, because TIC can be used with a variety of map data providers and even custom map networks, Gewi says customers can be assured their data will be properly referenced and displayed.

And you don’t have to take the company’s word for it! Here in Detroit, Gewi and BMW are demonstrating VMS2Dash which would enable VMS sign data from a DOT to be delivered directly into the vehicle’s navigation device, so you can register for a demonstration ride or get more information at Gewi’s booth to see for yourself.

As the company points out, since 1997 TIC is proven in commercial and government projects operating worldwide as a cost-effective, scalable alternative compared to build-your-own systems.

For more information on companies in this article

Related Content

  • German public radio selects Gewi traffic news system
    January 30, 2017
    Traffic software developer Gewi has been selected by Hessischer Rundfunk (HR), a German public radio station for the state of Hesse, Frankfurt, to collect, create and aggregate traffic information to be broadcast on the HR stations which include five different radio formats. In addition, the traffic information is distributed to TV channels, internet platforms and a telephone hotline. Navigation systems can receive data via RDS-TMC and TPEG. The solution uses Gewi’s TIC for Traffic News, which enable
  • Here’s HD AV map prepared for 5G
    June 17, 2019
    The emergence of 5G may not be necessary to provide a high-definition map for autonomous driving, says Matt Preyss from Here Technologies. Ben Spencer asks why 5G is a hot topic worldwide, with the potential for faster transfer of information eagerly awaited by those convinced that it will be a game-changer for the ITS industry. High-definition (HD) maps are essential to allow autonomous vehicles (AVs) to understand their environment, and operate safely within it in relation to other road users and p
  • Xerox’s mobility app offers Mobility as a Service
    June 1, 2016
    Andrew Bardin Williams looks at a new mobility app in Los Angeles and Denver that brings Mobility as a Service one step closer. Commuting today doesn’t have to require a single modal route. You can take Uber to the nearest light-rail station or a bus to the commuter line. Then on the other end of your trip, you can book a bikeshare the rest of the way to your office. For many who live in major metropolitan areas around the US this is a distinct reality as new ways to move from Point A to Point B continue to
  • Here: AI has place in ‘privacy by design’
    June 23, 2020
    Artificial intelligence may improve traffic in cities and keep location data private, but Here Technologies shows that it only takes four points of anonymous data to predict your identity.