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.
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.
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.
Since integrated safety systems combine active and passive safety elements in one safety system, it is necessary to define new procedures to evaluate vehicle safety from the overall system point of view. The main goal of the ASSESS project is to develop harmonized and standardized assessment procedures for collision mitigation and avoidance systems. Methods and Data Sources: In ASSESS, procedures are developed for: driver behaviour evaluation, pre-crash system performance evaluation, crash performance evaluation, socio-economic assessment. This paper will concentrate on the activities related to the crash evaluation. The objective is to perform simulations, sled tests and crash tests in order tounderstand the influence of the activation of the pre-crash systems on the occupants" injuries during the crash phase. When a traffic accident is unavoidable, pre-crash systems work on various safety devices in order to improve the vehicle occupants" protection. Braking assistance and adaptive restraint systems are the main pre-crash systems whose effect on the occupants" protection will be described in this paper. Results: The results will be a description of the effect of the activation of the pre-crash systems on the crash phase. Additionally, a set of recommendations for future methodology developments will be delivered. Furthermore, a first approach to the study of the effect of the pre-crash systems activation on the occupants" protection when the impact is unavoidable will be presented. This effect will be quantified using the biomechanical values obtained from the simulation and testing activities and their related injury risks. Simulation and testing activities will consider the following scenarios: - No activation of any pre-crash system, - Activation of one or a combination of several pre-crash systems. In this way, differences in the results obtained from different scenarios will show the effect of each pre-crash system separately during the crash phase. Discussion and Limitations: The set of activities developed in this research project is limited by the fact that with the given resources only a limited number of vehicle models could be investigated. In addition, there are also limitations related to the injury risk curves and the passive safety tools currently on the market. Conclusion and Relevance to session submitted: The paper will present a complete analysis of the effect of pre-crash systems during the crash phase when the impact is unavoidable. Details, limitations and first application experience based on a few examples will be discussed. Currently, there is not any regulation, assessment program, or other similar official procedure able to assess pre-crash systems during the crash phase. This project comprises phases of traffic accidents which have been historically analysed separately, and aims to evaluate them taking into account their interrelationship. ASSESS is one of the first European projects which deals in depth with the concept of integrated safety, defining methodologies to analyse vehicle safety from a global point of view.
The ASSESS project is a collaborative project that develops test procedures for pre-crash safety systems like Automatic Emergency Braking (AEB). One key criterion for the effectiveness of e.g. AEB is reduction in collision speed compared to baseline scenarios without AEB. The speed reduction for a given system can only be determined in real world tests that will end with a collision. Soft targets that are crashable up to velocities of 80 km/h are state of the art for these assessments, but ordinary balloon cars are usually stationary targets. The ASSESS project goes one step further and defines scenarios with moving targets. These scenarios define vehicle speeds of up to 100 km/h, different collision scenarios and relative collision speeds of up to 80km/h. This paper describes the development of a propulsion system for a soft target that aims to be used with these demanding scenario specifications. The Federal Highway Research Institute- (BASt-) approach to move the target is a self-driving small cart. The cart is controlled either by a driver (open-loop control via remote-control) or by a computer (closed-loop control). Its weight is limited to achieve a good crashability without damages to the test vehicle. To the extent of our knowledge BASt- approach is unique in this field (other carts cannot move at such high velocities or are not crashable). This paper describes in detail the challenges and solutions that were found both for the mechanical construction and the implementation of the control and safety system. One example for the mechanical challenges is e.g. the position of the vehicle- center of gravity (CG). An optimum compromise had to be found between a low CG oriented to the front of the vehicle (good for driveability) and a high CG oriented to the rear of the vehicle (good for crashability). The soft target itself which is also developed within the ASSESS project will not be covered in detail as this is work of a project partner. Publications on this will follow. The paper also shows first test results, describes current limitations and gives an outlook. It is expected that the presented test tools for AEB and other pre-crash safety systems is introduced in the future into consumer testing (NCAP) as well as regulatory testing.
Accident research 2.0: New methods for representative evaluation of integral safety in traffic
(2013)
BMW has developed a procedure for rating Advanced Driver Assistance Systems (ADAS) benefits that integrates two distinct tools. The tool "S.A.F.E.R." is designed to analyze the pre-crash phase. The aim of S.A.F.E.R. is to simulate all relevant processes in sufficient detail to obtain reproducible estimates of key indicators (effectiveness, false positives, etc.). The relevant processes include not only traffic and vehicle dynamics, but also environmental and most importantly human factors. Representative distributions of factors and parameters are obtained by taking the stochastic variation of all relevant parameters into account in the simulations. The second tool, known as "ICOS", has been designed to provide a high-resolution, high-fidelity description of crash phase dynamics. If one converts the outputs of stochastic simulation into inputs for crash dynamics, the result is a comprehensive description of exactly how a safety system can reduce injuries. Applications currently focus on high-fidelity simulation of individual crashes in order to enhance our understanding and optimization of connected safety systems. An integrated simulation process thus allows an exact prediction of the effectiveness in individual cases in terms of injury severity. The development and rating of integral safety need to reflect the true efficiency in the field. The integrated approach described here could provide a valid and reproducible basis for rating connected systems of active and passive safety. In particular, "virtual experiments" using a traffic-based approach and incorporating models of all relevant processes constitute an essential element of the approach.