Skip to main content

Avoiding traffic delays with Inrix traffic information and Navfree

A real time traffic information service introduced at Mobile World Congress by traffic information and driver services provider Inrix and navigation app provider Navfree is designed to help its 12.5 million drivers worldwide save time, fuel and reduce frustration travelling every day. “Whether driving to a new destination, an important business meeting or just trying to get home in time for dinner, Inrix helps make our customers’ journeys as smooth as possible,” said Navfree CEO Peter Atalla. Inrix vice pre
February 26, 2013 Read time: 2 mins
A real time traffic information service introduced at Mobile World Congress by traffic information and driver services provider 163 Inrix and navigation app provider 2196 Navmii’s Navfree is designed to help its 12.5 million drivers worldwide save time, fuel and reduce frustration travelling every day.

“Whether driving to a new destination, an important business meeting or just trying to get home in time for dinner, Inrix helps make our customers’ journeys as smooth as possible,” said Navfree CEO Peter Atalla.

Inrix vice president of mobile Bill Schwebel added, “Navfree ranks among the top navigation apps in the world holding the top spot on apps stores in the UK, US, France and Germany. With the launch of Navfree’s first real-time traffic service, 12 million drivers have the immediate opportunity to benefit from our community’s efforts working together to avoid traffic.”

According to the Inrix Traffic Scorecard, drivers in North America and Europe sat idle in traffic on average for almost thirty hours last year; more than 150 million drivers in thirty-two countries can rely on Inrix traffic information in the car, on their smartphone and from traffic news reports to help them save time travelling every day.  Available to Navfree customers as an in-app purchase on iPhone and Android in 31 countries, the service will enable drivers to see at a glance current traffic conditions along their route as well as the expected impact of traffic on travel times.

Inrix analyses real-time traffic data from a diverse set of sources ranging from its robust crowd-sourced network to traditional road sensors and gathers information on accidents, road works and other traffic impacting events to provide up-to-the-minute traffic information and reliable travel and arrival times.

For more information on companies in this article

Related Content

  • Green light in US for C-V2X intersection technology
    March 19, 2024
    Applied Information, Haas Alert and Audi involved in public test on traffic signals
  • CCAM innovation at ITS World Congress 2021
    September 27, 2021
    We live in an era of increasingly cooperative, connected and automated mobility (CCAM) but there’s still a huge way to go - visitors to ITS World Congress in Hamburg will be able to see projects, innovations and real-life solutions showcased in the city
  • Graphmasters showcases smarter navigation
    March 21, 2018
    Smart navigation that actually prevents congestion is being demonstrated by Graphmasters in Hall 8 with the aid of some eye-catching Lego. As with most navigation systems, drivers are warned about congestion ahead and the system suggests a modified route. However, according to Graphmasters’ Alexander Meister, the same suggested diversion is given to all vehicles, resulting in simply relocating the queue, whereas drivers using his company’s Nunav app are given different individual routes even if they are go
  • Cellint measures speed and travel time without roadside infrastructure
    April 10, 2014
    Collecting speed and travel time data without using roadside infrastructure could offer new possibilities to cash-strapped road authorities. Streaming video may be useful for traffic controllers to monitor incidents and automatic number plate recognition may be required for enforcement, but neither are necessary for many ITS functions. For instance travel times, tailbacks, percentage of vehicles turning, origin and destination analysis can all be done using Bluetooth and/or WI-Fi sensors and without video o