Abstract: In a method for predicting future driving conditions for a vehicle (1), sensor data (2) are gathered while the vehicle (1) is traveling on a route. A position of the vehicle (1) is also determined. The gathered data are associated with the determined vehicle position. A map (9) is created depending on the associated data. When the route is traveled again, the map is updated in real time depending on associated data from the repeated traveling. Finally, a prediction of future driving conditions is obtained based on the determined vehicle position and the map (9).

Abstract: In a method for predicting future driving conditions for a vehicle (1), sensor data (2) are gathered while the vehicle (1) is traveling on a route. A position of the vehicle (1) is also determined. The gathered data are associated with the determined vehicle position. A map (9) is created depending on the associated data. When the route is traveled again, the map is updated in real time depending on associated data from the repeated traveling. Finally, a prediction of future driving conditions is obtained based on the determined vehicle position and the map (9).

Abstract: In a method for predicting future driving conditions for a vehicle (1), sensor data (2) are gathered while the vehicle (1) is traveling on a route. A position of the vehicle (1) is also determined. The gathered data are associated with the determined vehicle position. A map (9) is created depending on the associated data. When the route is traveled again, the map is updated in real time depending on associated data from the repeated traveling. Finally, a prediction of future driving conditions is obtained based on the determined vehicle position and the map (9).