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- 2015 (5) (entfernen)
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Abbiegeunfälle mit Kollisionen zwischen rechtsabbiegenden Güterkraftfahrzeugen und Fahrrädern haben in der Regel schwerwiegende Folgen für den ungeschützten Verkehrsteilnehmer. In der Vergangenheit wurde durch eine steigende Anzahl von Spiegeln das individuelle Sichtfeld des Lkw-Fahrers vergrößert und die Sicherheit für ungeschützte Verkehrsteilnehmer durch den Seitenunterfahrschutz verbessert. Da Abbiegeunfälle trotz der Vielzahl an Spiegeln auch heute noch geschehen, gleichzeitig aber Fahrerassistenzsysteme Einzug in viele Fahrzeugklassen gehalten haben, liegt es nahe, derartige Systeme für die Verhinderung von Abbiegeunfällen zu nutzen. Um entsprechende Systementwicklungen fördern zu können oder aber auch Systeme vorschreiben zu können, sind Anforderungen und passende Testmethoden für Abbiegeassistenzsysteme erforderlich. Ziel der BASt war es, solche Anforderungen und ein mögliches Testverfahren hierfür zu entwickeln. Ausgehend von Analysen des Unfallgeschehens wurden charakteristische Parameter und Begleitumstände von Unfällen zwischen Fahrrädern und rechtsabbiegenden Lkw identifiziert. Aus fahrdynamischen Überlegungen folgt bei den gegebenen Parametern, dass nur eine frühe, aber niederschwellige Fahrerinformation eine wirkungsvolle Assistenzfunktion zur Verhinderung der Unfälle sein kann. Für automatische Bremsungen gibt es bisher noch zu wenig Erfahrungen im Feld, und klassische, hochschwellige, aber sehr spät erfolgende Warnsignale würden durch die dann noch verstreichende Reaktionszeit keine rechtzeitige Bremsung des Lkw-Fahrers mehr hervorrufen. Basierend auf dem identifizierten Parameterraum, der zum komfortablen Anhalten erforderlichen Zeit und einem geeigneten Kinematikmodell lassen sich die räumlichen Bereiche um den Lkw definieren, in dem eine Umfelderkennung den Fahrradfahrer detektieren können muss, damit das Informationssignal durch das Assistenzsystem an den Lkw-Fahrer rechtzeitig ausgegeben wird. Aktuell wird davon ausgegangen, dass ein Abbiegeassistenzsystem, das die hier beschriebenen Prüfungen besteht, einen sehr positiven Einfluss auf das Unfallgeschehen zwischen rechtsabbiegenden Lkw und Fahrrädern haben wird.
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.
Accidents between right turning trucks and straight riding cyclists often show massive consequences. Accident severity is much higher than in other accidents. The situation is critical especially due to the fact that, in spite of the six mirrors that are mandatory for ensuring a minimum field of sight for the truck drivers, cyclists in some situations cannot be seen or are not seen by the driver. Either the cyclist is overlooked or is in a blind spot area that results from the turning manoeuvre of the truck and its articulation if it is a truck trailer or truck semitrailer combination. At present driver assistance systems are discussed that can support the driver in the turning situation by giving a warning when cyclists are riding parallel to the truck just before or in the turning manoeuvre. Such systems would generally bear a high potential to avoid accidents of right turning trucks and cyclists no matter if they ride on the road or on a parallel bicycle path. However, performance requirements for such turning assist systems or even test procedures do not exist yet. This paper describes the development of a testing method and requirements for turning assist systems for trucks. The starting point of each development of test procedures is an analysis of accident data. A general study of accident figures determines the size of the problem. In-depth accident data is evaluated case by case in order to find out which are representative critical situations. These findings serve to determine characteristic parameters (e.g. boundary conditions, trajectories of truck and cyclist, speeds during the critical situation, impact points). Based on these parameters and technical feasibility by current sensor and actuator technology, representative test scenarios and pass/fail-criteria are defined. The outcome of the study is an overview of the accident situation between right turning trucks and straight driving cyclists in Germany as well as a corresponding test procedure for driver assistance systems that at this first stage will be informing or warning the driver. This test procedure is meant to be the basis for an international discussion on introducing turning assist systems in vehicle regulations.
The evaluation of the expected benefit of active safety systems or even ideas of future systems is challenging because this has to be done prospectively. Beside acceptance, the predicted real-world benefit of active safety systems is one of the most important and interesting measures. Therefore, appropriate methods should be used that meet the requirements concerning representativeness, robustness and accuracy. The paper presents the development of a methodology for the assessment of current and future vehicle safety systems. The variety of systems requires several tools and methods and thus, a common tool box was created. This toolbox consists of different levels, regarding different aspects like data sources, scenarios, representativeness, measures like pre-crash-simulations, automated crash computation, single-case-analyses or driving simulator studies. Finally, the benefit of the system(s) is calculated, e.g. by using injury risk functions; giving the number of avoided/mitigated accidents, the reduction of injured or killed persons or the decrease of economic costs.
The project UR:BAN "Cognitive assistance (KA)" aims at developing future assistance systems providing improved performance in complex city traffic. New state-of-the-art panoramic sensor technologies now allow comprehensive monitoring and evaluation of the vehicle environment. In order to improve protection of vulnerable road users such as pedestrians and cyclists, a particular objective of UR:BAN is the evaluation and prediction of their behaviour and actions. The objective of subproject "WER" is development support by providing quantitative estimates of traffic collisions at the very start and predict potential in terms of optimized accident avoidance and reduction of injury severity. For this purpose an integrated computer simulation toolkit is being devised based on real world accidents (GIDAS as well as video documented accidents), allowing the prediction of potential effectiveness and future benefit of assistance systems in this accident scenario. Subsequently, this toolkit may be used for optimizing the design of implemented assistance systems for improved effectiveness.