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

  • MaaS must be seamless and invisible - or forget it
    June 5, 2018
    MaaS experts from around the world converged on ITS International’s MaaS Market Atlanta conference to talk about how MaaS can be implemented in the US. Andrew Bardin Williams had a front row seat. Transportation experts from around the world gathered in the US earlier this month to discuss the future of Mobility as a Service (MaaS) and how it could be deployed in the US market. While most attendees at ITS International’s MaaS Market Atlanta conference were familiar with the MaaS concept, the US’s highly
  • When caring about sharing is good business for US automakers
    October 28, 2015
    Although car-sharing and ride-sharing could drastically reduce car sales, David Crawford finds some US automakers are keen to participate in the sharing economy. Growing consumer interest in car- and ride-sharing, as opposed to outright ownership, and ride-sharer Uber’s recently stated intention to make its brand competitive with ownership on cost, are making the major US automotive manufacturers think seriously about their future sales prospects. Some have already begun exploring ways of entering the field
  • Bluetooth and Wi-Fi offer new options for travel time measurements
    November 20, 2013
    New trials show Bluetooth and Wi-Fi signals can be reliably used for measuring travel times and at a lower cost than an ANPR system, but which is the better proposition depends on many factors. Measuring travel times has traditionally relied automatic number plate (or licence plate) recognition (ANPR/ALPR) cameras capturing the progress of vehicles travelling along a pre-defined route. Such systems also have the benefit of being able to count passing traffic and have become a vital tool in dealing with c
  • Hurdles to MaaS adoption highlighted
    January 25, 2018
    Jack Opiola talks to some MaaS advocates in the US. Cities will accommodate almost 60% of the world’s population by 2025 and technology is outpacing transportation plans and planners - putting extreme pressures upon planners and transportation systems alike. Big data, digital payments, ubiquitous communications, smartphone applications, on-demand travel and autonomous vehicles are all shredding existing transport plans. Never before has the pace of population growth and the tools to address this problem