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In the last years various new driver information and driver assistance systems made their way into modern vehicles and there are yet countless systems underway. However, expenses for both, the development and the construction of these systems are tremendous. Therefore the interest of evaluating systems keeps growing steadily, not only regarding the results of systems developed in the last years but also regarding system ideas. Only if at least a rough benefit estimation is given, the industry can decide which development should be supported. However, there is still a lack of transparency of possible and useful methods for these kinds of estimations. These were analyses and structured in this study.
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 need of passive safety devices, able to reduce the accidents and the severity of injuries suffered by motorcyclist, distinctly arises from data on accident statistics. In this paper, the effectiveness of an airbag device fitted in the biker- garments has been verified through various numerical simulations. Two simple test conditions were defined, in order to investigate the performance of the device both for back and front impacts, and simulated at various impact speeds. With the aim of providing more information about the actual capability of the airbag to reduce the severity of the injuries, one of accident scenario described by ISO 13232:2005 has been also investigated, checking the real effectiveness of the airbag strap-based firing system too. Confrontation of injury indexes resulting from simulation with and without airbag made possible a realistic evaluation of the harm reduction induced by the airbag presence.
Aus der Zusammenschau der gegenwärtigen Studienliteratur sowie den Ergebnissen der vorliegenden Untersuchung lässt sich ableiten, dass die Fahrtüchtigkeit eines unter Reboxetin oder Mirtazapin zum Teil remittierten Patienten als günstiger einzuschätzen ist als die eines unbehandelten depressiven Patienten. Die Bewertung eines Antidepressivums kann, wie die vorliegenden Ergebnisse zeigen, nicht vorrangig auf Basis der sedierenden Eigenschaften eines Präparats vorgenommen werden. Die experimentellen Daten belegen, dass neben der Verordnungsdauer und den damit zu erwartenden Adaptationsmechanismen auch der Einnahmezeitpunkt entscheidend bei der Bewertung der Substanz in Bezug auf die Verkehrssicherheit ist. Die vorliegenden Ergebnisse haben darüber hinaus wichtige Implikationen für die Einschätzung des Risikopotenzials neuerer selektiver Antidepressiva im Rahmen gesetzlicher Verordnungen. Bei der Bewertung des Gefährdungspotenzials dieser Substanzgruppe scheinen weit weniger die pharmakologischen Effekte als vielmehr morbogene Faktoren zu berücksichtigen zu sein. Die meisten der derzeit erhältlichen Antidepressiva sind weitgehend vergleichbar in Bezug auf ihre therapeutische Effektivität, sodass bei der Auswahl der Medikamente in erster Linie das Nebenwirkungsprofil ausschlaggebend ist.