"What‟due south an extra x minutes‟ journeying fourth dimension when yous tin save three litres of fuel? The Green Driving Assistant allows you to select your road based on these options before you gear up out."

The in a higher place quote comes from BMW and it describes in a few words their future Green Driving Banana feature. With the automotive manufacture thinking primarily green these days, information technology comes as no surprise that BMW'south research and evolution departments are looking at farther increasing the efficiency of their cars through unlike innovative technologies. Green Driving Assistant is embedded into the navigation arrangement and its algorithm serve as an indication to the most fuel efficient navigation road.

The artificial intelligence built into the feature, allows the Dark-green Driving Assistant algorithm to continuously learn the typical fuel consumption and the values tin can be used each time the commuter is planning a new route. Future enhancements to the iDrive navigation arrangement are likely to accept advantage of this characteristic, but BMW has yet to commit to a specific timeframe.

To larn more about the Greenish Driving Assistant, read the description below, courtesy of BMW.

green driving assistant 2 655x435 Among the pick criteria that the current generation of navigation systems gives drivers to help them choose a route is the expected journey time of each option and the distance to the destination. With the Light-green Driving Assistant, the BMW Group offers drivers a tool that also tells them their fuel consumption over each road and helps them to select ane which would burn less fuel.

Quick, short or ECO – route planning with the Dark-green Driving Assistant.

When planning their route alee of a journeying, drivers can compare suggested routes to make up one's mind which offers the shortest travelling time or the everyman fuel consumption. To help them decide, the Greenish Driving Assistant adds expected fuel savings to the familiar criteria of fourth dimension of inflow and altitude making it easy to decide whether a possible saving of fuel makes a slightly longer journey time worthwhile.

"The Green Driving Assistant gives me an objective way of selecting which route I follow and whether I wish to make apply of the potential for saving fuel. In this manner I can brand a conscious decision to have quarter of an hour longer on the "green" route, for example, only save i litre of fuel in the process." Johannes von Grundherr, Project Manager Green Driving Assistant.

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Tailored to the state of affairs and versatile – journeys with the Greenish Driving Assistant.

The Green Driving Assistant offers options while driving to ensure that drivers attain their destination even more efficiently and comfortably. The technology informs the driver straightaway if it registers that the vehicle has bereft fuel in the tank to reach the desired destination with the current driving style and route. The arrangement shows whether, by activating the ECO mode (see Affiliate iii.2) or choosing another route, the consumption could be optimized in gild to reach the destination without stopping to meridian up – and enduring the filibuster that this involves.

If the commuter wants to continue with the same driving way, the Filling Station Assistant subfunction of the Light-green Driving Assistant allows the timing of a refuelling stop to exist planned carefully into the route. When choosing which fuel station to stop at, the organization takes into account whether the driver prefers a particular fuel company – because he holds a customer loyalty card, for example – or fuel, and how great a detour would be involved. Once the driver has decided on his preferred filling station, it is entered into the navigation system equally an intermediate cease and the road calculation is adapted accordingly.

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The Green Driving Assistant never stops learning.

A journey or driving profile learned by the navigation arrangement serves every bit the basis for its adding of the distance, inflow time and potential fuel savings involved. Hither, the BMW Group engineers have developed an algorithm which learns the typical fuel consumption. A learning phase of approx. 500 km is all that is required to produce an adapted, vehicle- and driver-specific value which can be used by the Dark-green Driving Banana each time the commuter is planning a new route.