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This thesis describes the detection and reconstruction of traffic accidents with event data recorders.The underlying idea is to describe the vehicle motion and dynamics up to the stability limit by means of linear and non-linear vehicle models. These models are used to categorize the driving behavior and to freeze the recorded data in a memory if an accident occurs.Based on these data, among others the vehicle trajectory is reconstructed with fuzzy data fusion. The side slip angle which is a crucial quantity describing the vehicle stability is estimated with non-linear state observers and Kalman-Filters. The methodologies presented may lead from accident reconstruction considered here to accident avoidance.
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This thesis describes the detection and reconstruction of traffic accidents with event data recorders.The underlying idea is to describe the vehicle motion and dynamics up to the stability limit by means of linear and non-linear vehicle models. These models are used to categorize the driving behavior and to freeze the recorded data in a memory if an accident occurs.Based on these data, among others the vehicle trajectory is reconstructed with fuzzy data fusion. The side slip angle which is a crucial quantity describing the vehicle stability is estimated with non-linear state observers and Kalman-Filters. The methodologies presented may lead from accident reconstruction considered here to accident avoidance.
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Modelle greifen tief in die Prozesse des Denkens und Handelns und in die Entwicklungen der Künste, der Wissenschaften, der Technologien und Kulturen ein. Anders als viele klassische modelltheoretische Ansätze suggerieren, kommen dabei aber nicht nur die bewusst ins Auge gefassten Aspekte der Modelle zur Wirkung, sondern auch solche, von denen man keine Kenntnis hat oder die man auszuschließen versucht. Hinter den auf das Konzept der Repräsentation verpflichteten Modellbegriffen verbirgt sich daher eine schier unermessliche Landschaft von produktiven Unbestimmtheiten, überraschenden Rollenwechseln und ineinander verflochtenen Wechselwirkungen. In dieser Welt herrschen nicht die Regeln der Isomorphie, der Analogie oder der Ähnlichkeit, sondern die der spielerischen Auffassung, der materiellen und medialen Performanz und des historischen Wandels. Dem vielfältigen Wechselspiel dieser und vieler anderer Einflussgrößen ist mit einem vereinfachten Idealszenario nicht beizukommen. Stattdessen gilt es zunächst einmal zu verstehen, dass wir die Bedeutung und die Wirkungsweisen der Modelle bislang kaum verstanden haben.
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This thesis describes the detection and reconstruction of traffic accidents with event data recorders.The underlying idea is to describe the vehicle motion and dynamics up to the stability limit by means of linear and non-linear vehicle models. These models are used to categorize the driving behavior and to freeze the recorded data in a memory if an accident occurs.Based on these data, among others the vehicle trajectory is reconstructed with fuzzy data fusion. The side slip angle which is a crucial quantity describing the vehicle stability is estimated with non-linear state observers and Kalman-Filters. The methodologies presented may lead from accident reconstruction considered here to accident avoidance.
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