With the present brake signal pattern the traffic behind only receives the information that the brakes are applied, however, the drivers have no information about the intensity of the braking maneuver. In this report it is examined on the basis of a study of the literature, how the rear signal pattern could be optimized for a special representation of emergency braking maneuvers. In principle there are two suitable possibilities to reduce the driver reaction time: - An increase in the area and luminance of the brake lights intuitively provide the drivers following with an impression of approaching the vehicle in front , - Flashing lights are particularly suited to attract the attention of the driver following to the deceleration of the vehicle ahead , - The following advancement is recommended as an optimization of the rear signal pattern: When the brake assistant or ABS actuates or at a vehicle deceleration rate greater than 7 m/s-², the emergency braking maneuver is signaled by flashing of the third high-mounted brake light at a rate of 3-5 Hz. As an option, the area and luminance of the two lower brake lights could be increased in addition. These measures require changes to ECE Regulations No. 7 and No. 48 as well as to the Vienna Convention. The purpose of the described solution is to reduce the number or severity of rear-end accidents.
Euro NCAP will start to test pedestrian Automatic Emergency Braking Systems (AEB) from 2016 on. Test procedures for these tests had been developed by and discussed between the AsPeCSS project and other initiatives (e.g. the AEB group with Thatcham Research from the UK). This paper gives an overview on the development process from the AsPeCSS side, summarizes the current test and assessment procedures as of March 2015 and shows test and assessment results of five cars that had been tested by BASt for AsPeCSS and the respective manufacturer. The test and assessment methodology seems appropriate to rate the performance of different vehicles. The best test result - still one year ahead of the test implementation - is around 80%, while the worst rating result is around 10%. Other vehicles are between these boundaries.