81 Unfallstatistik
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A lack of representative European accident data to aid the development of safety policy, regulation and technological advancement is a major obstacle in the European Union. Data are needed to assess the performance of road and vehicle safety and is also needed to support the development of further actions by stakeholders. This short-paper describes the process of developing a data collection and analysis system designed to partly fill these gaps. A project team with members from 7 countries was set up to devise appropriate variable lists to collect fatal crash data under the following topic levels: accident, road environment, vehicle, and road user, using retrospective detailed police reports (n=1,300). The typical level of detail recorded was a minimum of 150 variables for each accident. The project will enable multidisciplinary information on the circumstances of fatal crashes to be interpreted to provide information on a range of causal factors and events surrounding the collisions.
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.
Die amtliche Straßenverkehrsunfallstatistik kann nur in begrenztem Umfang Informationen zu Unfallentstehung, Unfallablauf sowie zu den zugrunde liegenden Verletzungsmechanismen bereitstellen. Verbleibende Informationslücken lassen sich durch spezielle Erhebungsteams schließen, die Verkehrsunfälle nach wissenschaftlichen Aspekten dokumentieren. Hierzu unterhalten das Bundesministerium für Verkehr, Bau- und Wohnungswesen und die Bundesanstalt für Straßenwesen seit 30 Jahren ein Forschungsprojekt zur Unfalldatenerhebung an der Medizinischen Hochschule Hannover. Seit 1999 erfolgt eine Kooperation mit der Forschungsvereinigung Automobiltechnik (FAT), die ein weiteres Erhebungsteam an der Technischen Universität Dresden unterhält. Die Unfalldaten gehen in die gemeinsame GIDAS-Datenbank ein, aus der sich umfassende Informationen zu den breit gefächerten Forschungsfeldern "Passive und aktive Fahrzeugsicherheit", "Verkehrs- und Rettungsmedizin" und "Straßenbezogene Sicherheitsfragen" gewinnen lassen. In der Zukunft werden Unfallvermeidungsstrategien und Unfallursachenprophylaxe im Vordergrund einer prospektiven Unfallforschung stehen. Die Daten werden auch in Zukunft für die weitere Verbesserung der Verkehrssicherheit einen bedeutenden Beitrag leisten.