Inrix mobile app provides real time travel , route information

The new Inrix Traffic mobile app uses machine learning to predict and personalise the user’s routes, destinations and alerts, adding favourite places automatically. Based on learned activities, it creates a daily, driver-specific itinerary of anticipated trips, as well as frequent and preferred routes. By accessing calendar information on a mobile device, the app also adds events with addresses to the daily driving itinerary.
July 1, 2016 Read time: 1 min
Mobile app takes the guesswork out of navigation

The new 163 Inrix Traffic mobile app uses machine learning to predict and personalise the user’s routes, destinations and alerts, adding favourite places automatically. Based on learned activities, it creates a daily, driver-specific itinerary of anticipated trips, as well as frequent and preferred routes.

By accessing calendar information on a mobile device, the app also adds events with addresses to the daily driving itinerary.

Inrix Traffic uses crowd-sourced network of over 275 million connected cars and devices to offer accurate map and real-time information; it proactively monitors road conditions to alert drivers of ideal departure times, changes to arrival times and optimal routes to frequent or scheduled destinations based on real-time traffic.

Available in eight languages in 16 countries across North America and Europe, with additional countries coming soon, Inrix Traffic is available worldwide now in the Apple App Store and Google Play.

Location Based Systems

For more information on companies in this article

Related Content

  • Safety app connects Charlotte road users
    November 24, 2022
    City in North Carolina, US, has already published a Vision Zero plan
    Read More
  • USDOT expands real-time travel information with US$2.6 million in grants
    February 25, 2015
    The US Department of Transportation's Federal Highway Administration (FHWA) has announced $2.571 million in grants to expand the use of real-time travel information in 13 highly congested urban areas across ten states. Known as integrated corridor management, or ICM, the grants will help selected cities or regions combine numerous information technologies and real-time travel information from highway, rail and transit operations. Such tools can help engineers make better decisions about congestion managemen
    Read More
  • Cost benefit: Toronto retimings tame traffic trauma
    July 11, 2018
    Canada’s largest city reckons that it is saving its taxpayers’ money simply by altering the way traffic lights work. David Crawford reviews Toronto’s ambitious plans to ease congestion. Toronto, Canada’s largest metropolis (and the fourth largest in North America), has saved its residents CAN$53 (US$42.4) for every CAN$1 (US$0.80) spent over a 2012-2016 traffic signal retiming programme, according to figures released by its Transportation Services Division. The programme covered 1,275 signals (the city’s to
    Read More
  • Traffic cameras embrace AI
    December 19, 2022
    Artificial intelligence is spreading into many aspects of mobility – but what about traffic management and enforcement cameras? ITS International invited a few vision experts to ponder a couple of leading questions…
    Read More

Highlighted Content