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In Anbetracht des erheblich angewachsenen Indikationsspektrums sowie der zunehmenden Verordnungshäufigkeit von Beta-Rezeptoren-Blockern vor allem bei jüngeren Menschen kommt dieser Substanzgruppe eine erhebliche verkehrsmedizinische Bedeutung zu. Sedierende Wirkungen der Beta-Rezeptoren-Blocker sind schon seit langem bekannt, andere Autoren hingegen fanden keine die Verkehrstüchtigkeit beeinträchtigenden sedativen Effekte. Um die sedierende Eigenwirkung näher eingrenzen zu können, wurde in einem Laborversuch an 15 gesunden jungen Probanden die Auswirkungen des klassischen Vertreters der Beta-Rezeptoren-Blocker, des Propranolol, mit denen des Diazepam, und denen des Dikaliumchlorazepats, anhand psychophysischer Leistungstests untersucht. Hierzu wurden in der auf 3 Monate Dauer angelegten Studie dem Probandenkollektiv nach einem Randomisierungsplan nacheinander Propranolol, Diazepam, Dikaliumchlorazepat und Placebo in ambulant üblicher therapeutischer Dosierung verabreicht, und ihre psychophysischen Leistungen wurden dann unter anderem am Wiener Determinationsgerät überprüft. Hierbei zeigt sich eine statistisch signifikante Leistungsminderung unter der Gabe von Diazepan gegenüber Dikaliumchlorazepat und Propranolol. Dagegen war eine statistisch signifikante Leistungsminderung unter der Gabe von Diazepan bzw. Placebo einerseits sowie Propranolol, Dikaliumchlorazepat und Placebo andererseits nicht nachzuweisen.
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.
Twenty-eight percent of traffic accidents in Japan are rear-end collisions, and of these, 13% are multiple collisions (three or more vehicles and/or roadside objects). A post-crash braking system enables the driver to stop the vehicle in a short distance after a rear-end collision to prevent secondary collisions. In this study, the effectiveness of a post-crash braking system was examined using a drive recorder database. In 64% of rear-end collisions, the driver's braking was interrupted after the collision. The stopping distance was estimated with time data from the drive recorder. We predict that the brake assist would be effective in preventing secondary collisions in 21% of cases.
The Decision Support System (DSS) is one of the key objectives of the European co-funded research project SafetyCube in order to better support evidence-based policy making. Results will be assembled in the form of a DSS that will present for each suggested road safety measure: details of risk factor tackled, measure, best estimate of casualty reduction effectiveness, cost-benefit evaluation and analytic background. The development of the DSS presents a great potential to further support decision making at local, regional, national and international level, aiming to fill in the current gap of comparable measures effectiveness evaluation. In order to provide policy-makers and industry with comprehensive and well-structured information about measures, it is essential that a systems approach is used to ensure the links between risk factors and all relevant safety measures are made fully visible. The DSS is intended to become a major source of information for industry, policy-makers and the wider road safety community.
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.
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.
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 Traffic Accident Research Institute at University of Technology Dresden investigates about 1,000 accidents annually in the area around and in Dresden. These datasets have been summarized and evaluated in the GIDAS (German Accident In-Depth Study) project for 13 years. During the project it became apparent that the specific traffic situation of a covert exit of a passenger car and an intersecting two-wheeler involves a high risk potential. This critical situation develops in a large part due to the lack of visibility between the driver and the intersecting bike. In this paper the accident avoidance potential of front camera systems with lateral field of view, which allows the driver to have an indirect sight into the crossing street area will be presented.
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.