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Die vorliegende Studie liefert Ergebnisse zur Marktdurchdringung von Fahrzeugsicherheitssystemen im Jahr 2015. Wie bereits im Jahr 2013 wurde die Studie von infas und dem Institut fuer Kraftfahrzeuge (ika) durchgeführt. Dazu wurden 5.040 Haushalte zur Ausstattung eines ihnen zur Verfügung stehenden Fahrzeugs befragt und 56 Fahrzeugsicherheitssysteme ausgewählt. Neben den quantitativen Interviews wurden zwei Fokusgruppen mit Neu- bzw. Gebrauchtwagenkäufern durchgeführt. In der vorangegangenen Studie von 2013 wurden Experten befragt, die beruflich mit dem Ein- oder Verkauf von Pkw fuer Unternehmensflotten befasst sind. Die weiteste Verbreitung haben passive Sicherheitssysteme wie Airbags, die darauf abzielen, die Folgen eines Unfalls fuer die Beteiligten abzumildern. Aber auch aktive und intervenierende Systeme, die Risiken vermeiden oder einzelne Fahraufgaben übernehmen, gehören haeufig zur Fahrzeugausstattung. Die häufigsten Vertreter aus dieser Gruppe sind der Bremsassistent, ESP und der Tempomat. Die meisten Fahrzeugsicherheitssysteme sind in Fahrzeugen der oberen Mittelklasse und Oberklasse zu finden. Mit der jährlichen Fahrleistung und der Nutzungshäufigkeit nimmt die Anzahl der Systeme ebenso zu wie bei jüngeren Fahrzeugen und Dienstwagen. Die grössten Veränderungen gibt es im Segment der SUVs und Geländewagen. Hier steigt die Zahl der Neuzulassungen in den letzten Jahren deutlich und die Ergebnisse zeigen, dass diese Fahrzeuge häufig mit einer Vielzahl von Sicherheitssystemen ausgestattet sind. Die Ergebnisse aus der Vorgängerstudie zeigen, dass gewerbliche Fahrzeughalter solche Fahrzeugsicherheitssysteme in die Standardausstattung aufnehmen, deren Nutzen nachgewiesen ist. In der diesjährigen Studie wird deutlich, dass auch private Käufer Systeme insbesondere dann als sicherheitsrelevant und sinnvoll erachten, wenn sie durch den Gesetzgeber vorgeschrieben oder bereits seit längerer Zeit auf dem Markt etabliert sind. Es zeigt sich auch, dass insbesondere die eigene Erfahrung mit Sicherheitssystemen Vorurteile abbaut und zu einer positiven Einstellung gegenüber solchen Systemen führt.
PROSPECT (Proactive Safety for Pedestrians and Cyclists) is a collaborative research project involving most of the relevant partners from the automotive industry (including important active safety vehicle manufacturers and tier-1 suppliers) as well as academia and independent test labs, funded by the European Commission in the Horizon 2020 research program. PROSPECT's primary goal is the development of novel active safety functions, to be finally demonstrated to the public in three prototype vehicles. A sound benefit assessment of the prototype vehicle's functionality requires a broad testing methodology which goes beyond what has currently been used. Since PROSPECT functions are developed to prevent accidents in intersections, a key aspect of the test methodology is the reproduction of natural driving styles on the test track with driving robots. For this task, data from a real driving study with subjects in a suburb of Munich, Germany was used. Further data from Barcelona will be available soon. The data suggests that intersection crossing can be broken down into five phases, two phases with straight deceleration / acceleration, one phase with constant radius and speed turning, and two phases where the bend is imitated or ended. In these latter phases, drivers mostly combine lateral and longitudinal accelerations and drive what is called a clothoid, a curve with curvature proportional to distance travelled, in order to change lateral acceleration smoothly rather than abrupt. The data suggests that the main parameter of the clothoid, the ratio distance travelled to curvature, is mostly constant during the intersections. This parameter together with decelerations and speeds allows the generation of synthetic robot program files for a reproduction of natural driving styles using robots, allowing a much greater reproducibility than what is possible with human test drivers. First tests show that in principle it is possible to use the driving robots for vehicle control in that manner; a challenge currently is the control performance of the robot system in terms of speed control, but it is anticipated that this problem will be solved soon. Further elements of the PROSPECT test methodology are a standard intersection marking to be implemented on the test track which allows the efficient testing of all PROSPECT test cases, standard mobile and light obstruction elements for quick reproduction of obstructions of view, and a concept for tests in realistic surroundings. First tests using the PROSPECT test methodology will be conducted over the summer 2017, and final tests of the prototype vehicles developed within PROSPECT will be conducted in early 2018
Since its creation in 2011 the Pre-Crash-Matrix (PCM) offers the possibility to observe the pre-crash phase until five seconds before crash for a wide range of accidents. Currently the PCM contains more than 8.000 reconstructed accidents out of the GIDAS (German In-Depth Accident Study) database and is enlarged continuously by more than 1.000 cases per year. Hence, a detailed investigation of active safety systems in real accident situations has been made feasible. The PCM contains all relevant data in database format to simulate the pre-crash phase until the first collision of the accident for a maximum of two participants. This includes the definition of the participants and their characteristics, the dynamic behavior of the participants as time-dependent course for five seconds before crash as well as the geometry of the traffic infrastructure. The digital sketch of the accident and information from GIDAS as well as from supplementary databases represent the main input for the simulation of the pre-crash phase of an accident with the VUFO simulation model VAST (Vufo Accident Simulation Tool). This simulation in turn embodies the foundation of the PCM. The PCM underlies continual improvements and enhancements in consultation with its users. In addition to collisions of cars with other cars, pedestrians, bicycles and motorcycles the PCM now also covers car to object and car to truck collisions. The paper illustrates car to truck collisions as a showcase and explains perspectives for further developments. In 2016 a more detailed definition of the contour of the vehicle was added. Furthermore, the geometrical surroundings of the accident site will be provided in a new structure with a higher level of detail. Thus, a precise classification of road marks and objects is possible to further improve the support of developing and evaluating ADAS. This paper gives an overview about the latest developments of the PCM with its innovations and provides an outlook to upcoming enhancements. Besides potential areas of application for the development of ADAS are shown.
For more than a decade, ADAC accident researchers have analysed road accidents with severe injuries, recording some 20,000 accidents. An important task in accident research is to determine the causative factors of road accidents. Apart from vehicle engineering and human factors, accident research also focuses on infrastructural and environmental aspects. To find out what accident scenarios are the most common in ADAC accident research and what driver assistance systems can prevent them, our first task was to conduct a detailed accident analysis. Using CarMaker, we performed a realistic simulation of accident scenarios, including crashes, with varying parameters. To begin with, we made an initial selection of driver assistance systems in order to determine those with the greatest accident prevention potential. One important finding of this study is that the safety potential of the individual driver assistance systems can actually be examined. It also turned out that active safety offers even much more potential for development and innovation than passive safety. At the same time, testing becomes more demanding, too, as new systems keep entering the market, many of them differing in functional details. ADAC will continue to test all driver assistance systems as realistically as possible so as to be able to provide advice to car buyers. Therefore, it will be essential to develop and improve test conditions and criteria.
The advent of active safety systems calls for the development of appropriate testing methods. These methods aim to assess the effectivity of active safety systems based on criteria such as their capability to avoid accidents or lower impact speeds and thus mitigate the injury severity. For prospective effectivity studies, simulation becomes an important tool that needs valid models not only to simulate driving dynamics and safety systems, but also to resolve the collision mechanics. This paper presents an impact model which is based on solving momentum conservation equations and uses it in an effectivity study of a generic collision mitigation system in reconstructed real accidents at junctions. The model assumes an infinitely short crash duration and computes output parameters such as post-crash velocities, delta-v, force directions, etc. and is applicable for all impact collision configurations such as oblique, excentric collisions. Requiring only very little computational effort, the model is especially useful for effectivity studies where large numbers of simulations are necessary. Validation of the model is done by comparison with results from the widely used reconstruction software PC-Crash. Vehicles involved in the accidents are virtually equipped with a collision mitigation system for junctions using the software X-RATE, and the simulations (referred to as system simulations) are started sufficiently early before the collision occurred. In order to assess the effectivity, the real accident (referred to as baseline) is compared with the system simulations by computing the reduction of the impact speeds and delta-v.