Due to scarcity of petrol and emission reduction there is a need for more energy efficiency in individual transportation. Beside optimizations of carriage, engine and power train, anticipatory driving plays a key roll for efficient driving. Advanced driver assistance systems can help the driver in this task. However, current assistance systems do not provide timed hints to the driver. In this work the development of a system is presented that assists the driver to save energy while approaching slower vehicles. Data from several sources like static maps, vehicle data and sensor data is used to generate hints. These are displayed to the driver in a graphical user interface. System performance is evaluated on a simulated test-run.