Skip to main content

Visteon cockpit concept learns the driver's habit

A cockpit concept that offers advice on a different route when there are delays on the usual road, or adjusts the cabin temperature based on the driver’s preferences and the outside temperature, has been developed by US automotive supplier Visteon. Habit offers these solutions and others by incorporating artificial intelligence (AI) to deliver an enhanced driving experience. Visteon's Human Bayesian Intelligence Technology (Habit) system employs machine learning algorithms that are cognisant of the specific
May 20, 2013 Read time: 2 mins
A cockpit concept that offers advice on a different route when there are delays on the usual road, or adjusts the cabin temperature based on the driver’s preferences and the outside temperature, has been developed by US automotive supplier 2165 Visteon.

Habit offers these solutions and others by incorporating artificial intelligence (AI) to deliver an enhanced driving experience. Visteon's Human Bayesian Intelligence Technology (Habit) system employs machine learning algorithms that are cognisant of the specific driver and the surrounding environment.

The Habit system continually learns as it processes a driver's selections of climate temperatures, radio stations, telephone calls and other unique behaviours depending on the outside temperature and time of day. It factors in the individual's historical inputs to present a human-machine interaction (HMI) that is customised for the driver. The system also learns the driver's tastes, even when he or she is not in the vehicle, by, for example, remembering the music that the driver has listened to.

"The goal of Habit is to become an experience that improves each time the driver uses the ever-aware system," said Shadi Mere, innovation manager at Visteon. "With vehicle manufacturers striving to deliver a more personalised driving experience, the Habit cockpit concept demonstrates how your car can learn and grow with you over its lifetime."

For more information on companies in this article

Related Content

  • How WiM helps authorities identify repeat offenders
    May 31, 2023
    Company profiling – the process of identifying repeat corporate offenders when it comes to things like truck overloading – is one of many uses of WiM. And it may become more important
  • Nokia builds comms network for the smart, super-connected highway
    March 6, 2025
    The challenges are clear, but operators are embracing digitalisation and automation as they work to transform the highway landscape
  • Data revolution in real time travel information
    February 3, 2012
    Damian Black, CEO and founder of SQLstream Inc, writes about relational stream processing for real-time intelligent transport systems Almost unnoticed there is a revolution going on in Internet data which is different from anything seen before. It is taking place in sensor data, which research organisation Gartner predicts in 2012 will exceed 20 per cent of all non-video Internet traffic.
  • Speed reduction measures - carrot or stick?
    January 23, 2012
    In Sweden, marketing company DDB Stockholm employed a mock speed camera as part of a promotional campaign for automotive manufacturer Volkswagen. The result was worldwide online interest and promotion of the debate over excessive speed to the national level. A developing trend in traffic management policy is to look at how to induce road users to modify their behaviour by incentivising change rather than forcing it through the application of penalties. There have been several studies conducted into this; an