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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.
Fahrerassistenzsystemen mit Umfeldwahrnehmung wird ein hohes Potenzial zur Unfallvermeidung zugeschrieben, wenn diese umfassender und intensiver in die Fahrdynamik von Fahrzeugen eingreifen und weiter vernetzt werden. Diese erweiterten Eingriffsmöglichkeiten erzeugen auch neue Risiken, welche vor der Genehmigung und Zulassung für den öffentlichen Straßenverkehr abgesichert werden müssen. Neuartig ist bei diesen Systemen, dass sie nur über eine Situationsrepräsentation die unfallvermeidenden Handlungen ableiten können. Somit kommt zum Risiko des Versagens von Systemkomponenten, das bereits durch die ISO 26262-Norm zur funktionalen Sicherheit adressiert ist, das Risiko aufgrund einer falschen Interpretation auftretenden, nicht situationsgemaessen Auslösung, z. B. durch Situationskonstellationen, die bei der Entwicklung nicht berücksichtigt wurden und daher in den Funktionsspezifikationen nicht enthalten sind. Um die Anforderungen an Absicherungsmethoden für diese Assistenzsysteme zu identifizieren, werden diese zusammengestellt und der Absicherungsaufwand mit bestehenden Methoden, bspw. aufbauend auf den Anforderungen der ISO 26262, bestimmt. Die Analyse zeigt, dass bisherige Ansätze sowohl hinsichtlich der objektiven Nachweisbarkeit der Vollständigkeit der theoretisch möglichen Situationen Lücken aufweisen als auch hinsichtlich des Umfangs der notwendigen Spezifikationen und deren Prüfung in Versuchen. Aufgrund des daher zu erwartenden Aufwands für den Nachweis eines sicheren Verhaltens der Systeme sind eine Priorisierung von Fahrsituationen und die Gewährleistung einer hohen Übertragbarkeit von Bewertungsergebnissen notwendig. Um die Vollständigkeitsproblematik zu adressieren, wird ein Ansatz vorgestellt, der eine objektive Bewertung und den Vergleich von Fahrsituationen ermöglicht. Abschließend werden die Erkenntnisse zusammengefasst und notwendige weitere Schritte für die Schaffung einer einheitlichen Absicherungsstrategie für Fahrerassistenzsysteme abgeleitet.
As bearing capacity measurements become more and more important, the necessity of assuring quality by establishing a QA system becomes more relevant. Within this context, the FGSV recommends the introduction of comparative measurements. Since 2015, two pilot events took place, with the main aim of introducing repetitive comparative measurements, in which all FWD operators shall participate. The results of the comparative measurements show that the basic principles behind comparative measurements (of the FWD), elaborated as a Europe-wide consensus and put into practice in the Netherlands and the United Kingdom, are valid, but still there is a variety of questions to be answered concerning certain details of the measuring system itself, e. g. measurement of the temperatures (air, pavement) and the impact of load introduction. All in all, the two pilot events in 2015 and 2016 proved that the comparability of the different FWD measuring devices is satisfactory.
In order to improve the protection of children transported in cars, within the CHILD programme (GR3D-CT2002-00791) real world road accidents are thoroughly analysed and then reconstructed in laboratory. Prior to comparing injury severities of real victims to physical parameter values measured on the dummies, the quality of the reconstructions is evaluated by experts who use their experience based on the investigation of numerous and various accidents. This paper presents a new tool aiming at better evaluating and validating accident reconstructions. It is based on statistical evaluation of vehicle deformations which gives weighing factors for every part of the car body structure finally leading to a specific Reconstruction Quality Score (RQS indicator). Furthermore, the reliability of this score, depending on the number of measured points, can be established. This tool includes a function aiming at adjusting the speed for a further reconstruction and at defining the launching speed and the pulse shape for complementary sled tests. Finally, the functions of the RQS software and database are presented.
Whiplash injuries are characterized by the high variability of its symptoms and by the subjectivity of its diagnosis, which sometimes leads to frauds perpetrated by victims of rear-end impacts. It is estimated that whiplash injuries cost annually about 10.000 million Euros in Europe. Therefore, the aim of this study was to investigate the influence of the dynamics of the accident in which the victim was involved in the probability of development of whiplash associated injuries. In the presented methodology, first an accident reconstruction is performed where the dynamics of the accident is determined. This is carried out using the software PC-Crash, police and insurance companies' data. Then biomechanical injuries criteria related with whiplash injuries are evaluated. For the evaluation of the probability of having whiplash injuries, the Neck Injury Criterion (NIC) of the victim and the mean acceleration of the vehicle were evaluated. Then, with medical reports, the results of the accident reconstruction are correlated with the reported injuries. Some examples are presented. The results obtained indicate that the study of the dynamics of the road accidents in which the victims were involved could be used as an auxiliary of the prognosis of whiplash injuries and is important for a precise diagnosis of this type of injuries.
Road safety is a major preoccupation of the European Commission and the road transport industry and depends on numerous significant factors. In order to improve road safety and to plan effective safety improvement actions for truck transport, we must first identify the problems to be addressed, i.e. what are the main causes of truck accidents. The ETAC project, initiated by the European Commission and the IRU, was launched in order to set up a heavy goods vehicle accident causation study across European countries to identify future actions which could contribute to the improvement of road safety. The results will be based on a detailed analysis of truck accident data collected in seven European countries according to a common methodology which has been elaborated through numerous national and European projects. This paper describes the common methodology used to collect the information on the scene of the accident and to analyse the data so that the reconstruction of the crash events may be carried out. CEESAR proposes a methodology using its experience gained from over 10 years of accident data collection. This methodology is based on an in-depth investigation of the parameters involved in-an accident and linked to the driver, the vehicle, the road and their environment. In-depth investigation requires accident investigator presence on the scene of the accident in order to collect volatile information such as marks on the road, weather conditions, visibility, state and equipment of the vehicle, driver interview. Later, passive and active information is gathered, either at the hospital for the driver, at the garage for the vehicle or on the spot for the road geometry. A reconstruction carried out with the help of specific software and the analysis of the data collected and calculated enables the identification of the main causes of the accident and the future actions to plan in order to improve road safety as regards truck traffic.