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

  • Kimley-Horn embraces crowd-sourced travel information at ITS America
    June 7, 2018
    Kimley-Horn is displaying a new travel time data collection platform at ITS America in Detroit, showing how crowd-sourced information can fill the gaps on roadway corridors that have little or no communications infrastructure to support remote monitoring. The cloud-based software, called Traction, provides data and analytics for user-defined routes, crowd-sourced travel times and high-level system indicators. The User Trip Module records vehicle travel times in second-by-second intervals - collecting speed,
    Read More
  • TM 2.0 boost TMC data feed and driver influence
    November 15, 2017
    TM 2.0 views connected vehicles and V2I as two-way communications channels, benefitting traffic management and drivers, as Alan Dron discovers. As connected vehicles are progressively rolled out there will come a point at which traffic managers and traffic management centres (TMCs) will have to gear up to cope with a rapidly-evolving road scenario. The TM 2.0 Platform (see box) is promoting a concept of new-generation traffic management (which carries the same TM 2.0 title) and is studying how future T
    Read More
  • Mobility as a Service gaining traction in US and Europe
    December 15, 2015
    As Mobility as a Service starts to move into the mainstream of transport planning, David Crawford compares European and North American initiatives. Mobility as a Service (MaaS) is a concept fast gaining traction on both sides of the Atlantic as a way of giving travellers digital multimodal one-stop shops and journey planning tools as an alternative to private car use. Planned delivery methods include subscription-based travel packages in Europe, and 'mobility aggregator' apps, including employee commute ben
    Read More
  • Velodyne applies AI to traffic monitoring 
    May 18, 2021
    Lidar-based AI traffic solution installed at multiple intersections in New Brunswick, New Jersey
    Read More

Highlighted Content