01843nam 2200361 450 991068832230332120230623102725.0(CKB)5400000000040344(NjHacI)995400000000040344(EXLCZ)99540000000004034420230623d2005 uy 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierModel based detection and reconstruction of road traffic accidents /Marcus Hiemer[Place of publication not identified] :KIT Scientific Publishing,2005.©20051 online resource (225 pages)1000001370 Includes bibliographical references and index.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.Models and modelmakingModels and modelmaking.745.5928Hiemer Marcus1367505NjHacINjHaclBOOK9910688322303321Model based detection and reconstruction of road traffic accidents3390802UNINA