Skip to main content

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.

For more information on companies in this article

Related Content

  • Integrated corridor management aids multi-modal transport planning
    January 24, 2012
    Telvent’s Jorgen Pedersen and Tip Franklin discuss how integrated corridor management can create synergies within a multimodal transportation infrastructure, while promoting modal shift. The mantra ‘We cannot build ourselves out of congestion’ has long been stated and too often ignored. But with the economy in dire straits, funding deficits and pressure to reduce governmental spending, this is now being taken seriously by almost everyone who has an interest in the flow of traffic. By ‘everyone’ we include
  • Moovit uses riders to help get far from crowds
    June 11, 2021
    User-generated reports will make people feel more comfortable using public transit, firm says
  • First-of-a-kind collaboration to analyse real-time traffic patterns and individual commuter travel history
    February 3, 2012
    IBM has announced a new collaboration with the California Department of Transportation (Caltrans) and California Center for Innovative Transportation (CCIT), a research institute at the University of California, Berkeley, to develop an intelligent transportation solution that will help commuters avoid congestion and enable transportation agencies to better understand, predict and manage traffic flow.
  • Real time passenger information with live transit updates
    October 10, 2012
    Canada’s Regional Municipality of York (YRT/Viva) has partnered with Google and INIT, supplier of ITS and fare collection systems, to offer bus passengers real-time trip plans through Google maps. The service, Google Live Transit Updates, tracks YRT buses using INIT’s GPS-based navigation system and provides passengers with the exact time a bus will depart from their stop. YRT/Viva is the first transit agency in Canada to offer real-time trip planning on Google with up-to-the-minute next bus departure infor