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Die UNECE Regelung R58 regelt die Beschaffenheit und die Installation von Heckunterfahrschutzsystemen an schweren Güterkraftfahrzeugen, deren Ziel die Verbesserung der Kompabilität zwischen Pkw-Frontstrukturen und Lkw-Hecks ist. Dennoch verunglücken laut amtlicher Unfallstatistik allein in Deutschland rund 30 Pkw-Insassen in Heckauffahrunfällen auf Lkw tödlich, da diese Vorrichtungen hinsichtlich Einbauhöhe und Steifigkeit den Anforderungen des realen Unfallgeschehens nicht genügen. Das Ziel dieser Studie ist eine quantitative Abschätzung der möglichen Reduzierung der Verletzungsschwere mit Hilfe eines statistischen Modells, die durch eine Anpassung der geltenden Bestimmungen und die damit verbundenen technischen Veränderungen des bereits vorgeschriebenen Heckunterfahrschutzes zu erreichen wäre. In einer Nutzen-Kosten-Analyse wird die Wirtschaftlichkeit dieser Modifizierungen mit einem idealen Notbremsassistenten verglichen. Die Untersuchung orientiert sich dabei an den aktuell in der UN-ECE WP29/GRSG in Genf diskutierten Vorschlägen zur Anpassung der ECE-R58. Das verwendete ordinale Probit-Modell stellt einen Zusammenhang zwischen der Verletzungsschwere im auffahrenden PKW und erklärenden Größen her, in diesem Fall der kinetischen Energie des unterfahrenden Pkws und der strukturellen lnteraktion zwischen Lkw-Heck und Pkw-Front. Diese Maßnahmen könnten demnach 53 - 78% der Getöteten sowie 27 - 49% der Schwerverletzten bei diesen Unfallkonstellationen reduzieren, was pro Jahr 20 Getöteten und 95 Schwerverletzten entsprechen würde. Somit würde eine Modifikation einer bestehenden passiven Schutzmaßnahme an jährlich 100.000 neuzugelassenen Lkw und Anhängern bereits 20 Getötete adressieren. Im Vergleich dazu müssten jährlich 3 Millionen Pkw mit zusätzlicher Sensorik und Aktuatorik für einen idealen Notbremsassistenten ausgestattet werden, um im Idealfall alle Heckauffahrunfälle von Pkw auf andere Pkw oder Lkw und damit 53 Getötete zu vermeiden. Daher fällt auch das Nutzen-Kosten-Verhältnis deutlich zugunsten des verbesserten Heckunterfahrschutzes aus.
Past European collaborative research involving government bodies, vehicle manufacturers and test laboratories has resulted in a prototype barrier face called the Advanced European Mobile Deformable Barrier (AE-MDB) for use in a new side impact test procedure . This procedure offers a better representation of the current accident situation and, in particular, the barrier concept is a better reflection of front-end stiffness seen in today- passenger car fleet compared to that of the current legislative barrier face. Based on the preliminary performance corridors of the prototype AE-MDB, a refined AE-MDB specification has been developed. A programme of barrier to load cell wall testing was undertaken to complete and standardise the AE-MDB specification. Barrier faces were supplied by the four leading manufacturers to demonstrate that the specification could be met by all. This paper includes background, specification and proof of compliance.
In the paper it is investigated to what extend one can extrapolate the detailed accident database GIDAS (German In-Depth Accident Study), with survey area Hanover and Dresden region, to accident behavior in other regions and countries within Europe and how such an extrapolation can be implemented and evaluated. Moreover, it is explored what extent of accident data for the target country is necessary for such an extrapolation and what can be done in situations with sparse and low accident information in a target region. It will be shown that a direct transfer of GIDAS injury outcomes to other regions does not lead to satisfactory results. But based on GIDAS and using statistical decision tree methods, an extrapolation methodology will be presented which allows for an adequate prediction of the distribution of injury severity in severe traffic accidents for European countries. The method consists essentially of a separation of accidents into well-described subgroups of accidents within which the accident severity distribution does not vary much over different regions. In contrast the distribution over the various subgroups of accidents typically is rather different between GIDAS and the target. For the separation into the subgroups meaningful accident parameters (like accident type, traffic environment, type of road etc.) have been selected. The developed methodology is applied to GIDAS data for the years 1999-2012 and is evaluated with police accident data for Sweden (2002 to 2012) and the United Kingdom (2004 to 2010). It is obtained that the extrapolation proposal has good to very good predictive power in the category of severe traffic accidents. Moreover, it is shown that iterative proportional fitting enables the developed extrapolation method to lead to a satisfactory extrapolation of accident outcomes even to target regions with sparse accident information. As an important potential application of the developed methodology the a priori extrapolation of effects of (future) safety systems, the operation of which can only be well assessed on the basis of very detailed GIDAS accident data, is presented. Based on the evaluation of the presented extrapolation method it will be shown that GIDAS very well represents severe accidents, i.e. accidents with at least one severely or fatally injured person involved, for other countries in Europe. The developed extrapolation method reaches its limits in cases for which only very little accident information is available for the target region.
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.
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.
