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

  • Vehicle tracking app
    January 31, 2012
    Masternaut has launched a new custom iPhone and Android app solution for clients using its mobile solutions and vehicle tracking. It allows them to launch their own app and make it available to their customers on the Apple app store or Android market. The apps can be fully customised - including colours, corporate identity and content. Users of Masternaut's solutions can choose exactly what to include in their app (from a range of available modules), with the aim of providing useful information for end user
    Read More
  • Improving urban traffic control in Atlanta
    January 27, 2012
    Hugh Colton, Georgia DOT details move to improve urban traffic control in the Atlanta area. With a significant proportion of traffic using freeways and toll-ways, along with a significant investment in roadway infrastructure, urban arterials are often the poor relation when it comes to ITS investment. Hitherto the primary means of Urban Traffic Control (UTC) has been the ubiquitous traffic signal. Many traffic signals still operate in a standalone mode and traffic detection is often broken, leaving the sign
    Read More
  • Statistical improvement for short-term travel time predictions
    June 2, 2014
    Researchers at Imperial College in London have developed a generic three-stage short-term travel prediction model that promises to give greater accuracy under both normal and abnormal conditions. As travellers do not like the randomness of non-recurrent traffic congestion and delays, it is particularly useful for network managers to know how the ongoing traffic situation will develop when an atypical event occurs.
    Read More
  • Real time road hazard awareness system launched
    May 9, 2013
    inthinc Technology Solutions, US-based telematics, fleet management and driver safety solutions provider has incorporated its road hazard awareness (RHA) into its waySmart fleet management solution, enabling managers and drivers to collectively communicate and warn each other of impending dangers on the roadways in real-time. Capable of integration into any corporate journey management system, inthinc RHA functions as an add-on feature of waySmart, a comprehensive telematics-based mobile resource management
    Read More

Highlighted Content