Now the BMW Group's Research and Technology arm is opening up whole new possibilities for navigation systems technology, by endowing them with artificial intelligence and teaching them basic learning skills.

Even without entering a destination, this will allow navigation systems of the future to do things like warn of traffic hold-ups or improve fuel efficiency.


The researchers have converted a BMW 3 Series model into a prototype platform for a navigation system that can predict where the driver will be heading, and what route will be chosen, even when the driver has not entered a destination.

Project manager Andreas Winckler dubs the system a "self-teaching route predictor". 

To develop this proactive capability, the navigation system must first be "taught how to learn".

A secure profile is created for each driver in which past journey history is recorded.

This will include not only destinations, short cuts and "rat runs" used en route, but also information such as time of day and seat occupancy.

Andreas Winckler has already acted as a guinea pig himself: "If it's a Monday morning, my car decides that my workplace will be my likeliest destination. If my child is also on board, the navigation system will plan for a detour past the school.

Or if it's a Saturday morning, my personal route planner decides that I'm most likely to be heading to the sports centre."

The prototype has already developed a formidable talent for this kind of forecasting: success rates have now risen to around 70 percent, compared with 30 percent at the start of the project.

All this helps to make the driver's life considerably easier. Early warnings of congestion, rapid selection of the most likely destination, as opposed to the most recent or one from the address book, and cross-checking of predictions against the personal calendar function in the driver's Smartphone are just the first of many potential functions.

Things really start to get interesting when the developers go on to integrate the intelligent navigation system with the vehicle's own internal systems - that is to say when data from the navigation system is integrated in the BMW EfficientDynamics fuel-saving features.

By way of example, regenerative braking presently only operates when the engine is on overrun, say when actually descending a hill.

But with proactive navigation, regenerative braking can already start saving fuel well before the downhill section - because the system knows that at that point on the route the battery will be recharged.

And if the driver plays his part too, for example by making use of information about a currently hidden speed limit that's coming up 500 metres ahead, reducing his speed gradually rather than hitting the brakes at the last minute, then proactive energy management on future vehicles could achieve fuel savings of between 5 and 10 percent.

To take a completely different situation, the system can also help out if the driver is about to join a motorway: the combustion process can be modified, the engine oil and coolant temperature adapted and the automatic transmission prepared for the upcoming gearshift.

This will make more power available for accelerating on the slip road. "With this concept of integrating intelligent learning navigation into our vehicles we will be able to further refine our BMW EfficientDynamics strategy and to systematically introduce the new features in our products," says Professor Dr Raymond Freymann, Director of BMW Group Research and Technology.