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- Fahrerassistenzsystem (71) (entfernen)
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.
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.
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.
Fahrerassistenzsysteme unterstützen den Fahrer durch Information, Warnung oder Eingriff in die Fahrzeugsteuerung. Zukünftige Systeme zur Kollisionsvermeidung oder bis hin zum automatischen Fahren werden den Fahrer immer mehr entlasten. Wegen ihres erheblichen Potenzials zur Verbesserung vor allem der aktiven Sicherheit können die Fahrerassistenzsysteme wesentlich zur Vermeidung von Unfällen oder der Reduktion von Unfallfolgen beitragen. Andererseits können Fahrerassistenzsysteme aufgrund des komplexen Systemzusammenhangs zwischen Fahrer, Fahrzeug und Umwelt negative Auswirkungen auf das Verkehrsgeschehen haben. Dieser Aspekt muss schon bei der Entwicklung der Systeme berücksichtigt werden. Die Empfehlung der Europäischen Kommission zur Gestaltung von Informations- und Kommunikationssystemen gibt dazu Leitlinien vor. Die BASt ist mit der wissenschaftlichen Begleitung der Thematik beauftragt. Die Industrie ist dazu aufgefordert darzulegen, welche Maßnahmen zur Einhaltung der Grundsätze ergriffen worden sind beziehungsweise werden. Um das Potenzial der Fahrerassistenzsysteme zur Steigerung der Verkehrssicherheit voll ausschöpfen zu können, sind weiterhin Forschungsarbeiten zur Entwicklung neuer und zur Weiterentwicklung bestehender Systeme unter Berücksichtigung der Gestaltungsanforderungen für sichere Assistenzsysteme durchzuführen.
Die Initiative der Einführung kooperativer Systeme in einem Korridor von Rotterdam über Frankfurt/Main nach Wien, dem sogenannten C-ITS Corridor, und damit auch in Deutschland wurde im Juni 2013 durch die Unterzeichnung einer entsprechenden Absichtserklärung des Bundesministeriums für Verkehr, Bau und Stadtentwicklung mit den Verkehrsministern der Niederlande und Österreichs offiziell gestartet. In vielen Forschungsprojekten wurden vorher die Grundlagen erarbeitet, um eine solche Einführung technisch überhaupt erst möglich zu machen. Im Beitrag werden diese Ergebnisse nochmals kurz aufgegriffen und um den aktuellen Stand bei den Entwicklungen im C-ITS Corridor erweitert. Als erstes Einführungsszenario wurden die Baustellenwarnung und Kooperatives Verkehrsmanagement unter Einbeziehung von Fahrzeugdaten gewählt. Nicht verschwiegen werden sollen hierbei auch die wesentlichen Herausforderungen, die im Übergang von Forschung und Feldtests zu realen Anwendungen liegen.
Aus wissenschaftlichen Untersuchungen ist bekannt, dass ältere Menschen trotz ihrer langen Fahrerfahrung in spezifischen Verkehrssituationen Fahrfehler und Unsicherheiten zeigen. In zwei Experimenten an jüngeren und älteren Versuchsteilnehmern wurde im Ergonomie-Labor der Bundesanstalt für Straßenwesen (BASt) versucht, den Ursachen spezifischer Fahrfehler älterer Kraftfahrer nachzugehen. Die Ergebnisse lieferten wichtige Ansatzpunkte für die Entwicklung von Fahrerassistenzsystemen (FAS), indem Erkenntnisse zu visuellen Aufmerksamkeitsleistungen gesammelt wurden. Im Rahmen eines Doppeltätigkeitsparadigmas wurde der visuell-räumliche Aufmerksamkeitsprozess, der für das Führen von Kraftfahrzeugen von wesentlicher Bedeutung ist, nicht nur auf der Verhaltensebene, sondern auch neurophysiologisch durch die Ableitung der Hirnströme mittels EEG untersucht. Hauptaufgabe war in beiden Experimenten eine Spurhalteaufgabe, die kurvenreiches Fahren simulieren sollte. Nebenaufgabe war jeweils eine Lichtreizaufgabe, bei der so schnell wie möglich durch Tastendruck auf einen Lichtreiz reagiert werden musste. Im zweiten Experiment wurde überprüft, ob bei der Lichtreizaufgabe die Verschlechterung der Aufmerksamkeitsleistung graduell erfolgt, indem bei den Lichtreizen die Exzentrizität erweitert wurde. Die Reize wurden bilateral, in abgestufter Form in verschiedenen Sehwinkeln von der Fovea centralis präsentiert. Dargestellt werden die Versuchsdurchführung sowie die Ergebnisse für die Verhaltensdaten und die festgestellten ereigniskorrelierten Potenziale (EKP). Es zeigte sich, dass durch die Berücksichtigung zusätzlicher weiterer Exzentrizitäten die Ergebnisse der Vorgängerstudie in bedeutsamer Weise erweitert werden konnten. Für beide Gruppen zeigten sich über den Verlauf hinweg klare Anzeichen für den Verlauf kompensatorischer Prozesse, die sich für die Älteren aber nur bis zu einem Sehwinkel von 50 Grad darstellten. Bei Reizen im Sehwinkel von 60 Grad war die Detektionsleistung deutlich schlechter, vor allem bei den älteren Versuchsteilnehmern. Außerdem wurde festgestellt, dass vor allem die Älteren Beeinträchtigungen in der Detektionsleistung zeigen, wenn der Abstand zwischen zwei Reizen gering ist. Es zeigt sich, das im Hinblick auf das Übersehen von Verkehrsobjekten, das eine wesentliche Ursache von Unfällen älterer Fahrer darstellt, diese technisch - beispielsweise bei Wende- oder Abbiegeprozessen - durch einen Sehfeldassistenten unterstützt werden können. Da Ältere durch schnelle Reaktionsabfolgen stärker beansprucht werden, sind Systeme mit Warnfunktion oder teilautomatisierte Systeme eher kritisch zu sehen, da sie zusätzlichen Bedien- beziehungsweise Überwachungsaufwand erfordern.
Enhanced protection of pedestrians and cyclists remains on the focus. Besides infrastructural and behavioral aspects it is necessary to exploit technical solutions placed on motorized vehicles. Accident research needs reliable data as well as national road accident statistics. Changing the view on seriously injured road users is one of the challenges which will substantially contribute to the optimization on future traffic safety. The missing accuracy in the definition of personal injury has a detrimental effect on making cost efficient road safety policy which is not only focused on fatal accidents. The European commission requested that, starting in 2015, all EU member states provide more detailed data on the injury status of road casualties, with special regard to the group of seriously injured. Conventional accident data will always be essential. But to obtain detailed data about driver behavior in real traffic situations further data sources are required. These could be EDR data, data from electronic control units, data from traffic surveys and traffic counting, naturalistic diving studies and field operational tests. Gaining insight into normal as well as critical driver behavior will enable accident researchers to deduct functions estimating the increase or decrease of accident risk associated with certain behaviors or vehicle functions. Also with view to the introduction of highly automated driving functions in the future such data is urgently needed. Computer simulation based tools to estimate the benefits of active safety systems are another step on the way towards the safety assessment of automated driving. It is now the duty of the scientific community to ask the right questions, to develop a methodology and to merge all these data sources into a common framework for the assessment of future traffic safety innovations.
Assessment of the effectiveness of Intersection Assistance Systems at urban and rural accident sites
(2015)
An Intersection Collision Avoidance System is a promising safety system for accident avoidance or injury mitigation at junctions. However, there is still a lack of evidence of the effectiveness, due to the missing real accident data concerning Advanced Driver Assistance Systems. The objective of this study is the assessment of the effectiveness of an Intersection Collision Avoidance System based on real accidents. The method used is called virtual pre-crash simulation. Accidents at junctions were reconstructed by using the numerical simulation software PC-Crashâ„¢. This first simulation is called the baseline simulation. In a second step the vehicles of these accidents were equipped with an Intersection Collision Avoidance System and simulated again. The second simulation is called the system simulation. In the system simulation two different sensors and four different intervention strategies were used, based on a time-to-collision approach. The effectiveness of Intersection Collision Avoidance System has been evaluated by using an assessment function. On average 9% of the reviewed junction accidents could have been avoided within the system simulations. The other simulation results clearly showed a change in the principal direction of force, delta-v and reduction of the injury severity.
The main focus of the benefit estimation of advanced safety systems with a warning interface by simulation is on the driver. The driver is the only link between the algorithm of the safety system and the vehicle, which makes the setup of a driver model for such simulations very important. This paper describes an approach for the use of a statistical driver model in simulation. It also gives an outlook on further work on this topic. The build-up process of the model suffices with a distribution of reaction times and a distribution of reaction intensities. Both were combined in different scenarios for every driver. Each scenario has then a specific probability to occur. To use the statistical driver model, every accident scene has to be simulated with each driver scenario (combinations of reaction times and intensities). The results of the simulations are then combined regarding the probabilities to occur, which leads to an overall estimated benefit of the specific system. The model works with one or more equipped participants and delivers a range for the benefit of advanced safety systems with warning interfaces.
The Traffic Accident Research Institute at University of Technology Dresden investigates about 1,000 accidents annually in the area around and in Dresden. These datasets have been summarized and evaluated in the GIDAS (German Accident In-Depth Study) project for 13 years. During the project it became apparent that the specific traffic situation of a covert exit of a passenger car and an intersecting two-wheeler involves a high risk potential. This critical situation develops in a large part due to the lack of visibility between the driver and the intersecting bike. In this paper the accident avoidance potential of front camera systems with lateral field of view, which allows the driver to have an indirect sight into the crossing street area will be presented.