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- Active safety system (3) (entfernen)
In recent years considerable progress in active and passive safety of road vehicles has been made. The road traffic of today is much safer than in the past. A current vehicle has a lot more safety elements resulting in an improved inner and outer technique. In most European countries the number of fatalities is decreasing despite growing traffic and road usage. Nevertheless, the number of casualties in road traffic accidents is high enough, thus more progress is needed if the number of fatalities is to be reduced by 50%, as postulated by the European Commission for the year 2010. In order to develop countermeasures and further possibilities for injury prevention, it is increasingly important to have accident data available, supplying results quickly and giving the best overview across Europe. In-Depth-Data Sampling Procedures have a huge historical development, starting in the 60ies by the car manufactures, continued during the 70ies mostly by some universities mainly in England, Sweden, France and Germany, today a net of in-depth-investigation teams are working across Europe and around the world.One of the oldest teams is located at the Hannover Medical School, founded in 1973 by the German Government on behalf of the Federal Highway Research Institute Bast. It was the only team worldwide that was equipped with blue light emergency cars, working on scene in time so directly after the event and working continuously during the years, collecting 20 thousand accidents within 30 years period. Since 1999 the order is carried out in cooperation with the German car industry, which is interested and has benefit on the data too. On the basis of the new data collection, so called GIDAS (German In-Depth Accident Study), that has been run at the Technical University Dresden and the Medical University Hannover), a special tool for In-Depth-Accident Analysis was founded. It is the task of this conference to build a platform for such research based on In-Depth-Investigation. The conference is specially aimed at the area of accident data analysis in order to contribute to the harmonization of different investigation methods and accumulation of different results that does exist for different countries worldwide. Up to now no special conference did exist to deal with accident data only following in the discussion for an improvement in traffic and vehicle safety. ESAR - expert symposium on accident research - should be a step forward. This first international conference is being organized by the Accident Research Unit at the Medical University Hannover jointly with the German Federal Highway Research Institute Bast and the Research Association of German Car Manufacturers FAT. The conference should be a platform for an interdisciplinary exchange of information based on the different presentations from participants around the world.
The data situation for quantifying the proportion of accidents avoided by the introduction of active safety systems is incomplete, since there is generally no data available on the accidents avoided by the technology in question. In this paper, a split-register approach is suggested and compared with the classical case-control approach known from epidemiologic applications. Provided a set of assumptions hold, which can reasonably be made in such data situations, the split register approach allows inferences on the population accident risk. For both approaches the benefits of basing the analysis on the results of a logistic regression to adjust for confounding factors are outlined. The biasing effects of violating key assumptions are discussed and the split-register approach is demonstrated using the example of the active safety system ESP with data from the German in-depth accident study GIDAS.
Active safety systems are aimed at accident prevention, hence the knowledge required for their development is different from that required for passive safety systems aimed at injury prevention. Particularly, knowledge about accident causation is required. When looking at existing accident causation data, it is argued it fails to explain in sufficient detail how and why the accidents occur. Therefore, there is a need for detailed micro-level descriptions of accident causation mechanisms, and also of methodologies suitable for creating such descriptions. One study addressing these needs is the Swedish project FICA (Factors Influencing the Causation of Accidents and Incidents), where an accident investigation methodology suitable for active safety is developed, and in-depth accident investigations following this methodology are carried out on-scene in the area of Gothenburg by a multidisciplinary team. A preliminary aggregated analysis of different cases shows that the methodology developed is adequate for pointing out common contributing factors and devising principal countermeasures.