LEADER 01843nam 2200361 450 001 9910688322303321 005 20230623102725.0 035 $a(CKB)5400000000040344 035 $a(NjHacI)995400000000040344 035 $a(EXLCZ)995400000000040344 100 $a20230623d2005 uy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aModel based detection and reconstruction of road traffic accidents /$fMarcus Hiemer 210 1$a[Place of publication not identified] :$cKIT Scientific Publishing,$d2005. 210 4$dİ2005 215 $a1 online resource (225 pages) 311 $a1000001370 320 $aIncludes bibliographical references and index. 330 $aThis 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. 606 $aModels and modelmaking 615 0$aModels and modelmaking. 676 $a745.5928 700 $aHiemer$b Marcus$01367505 801 0$bNjHacI 801 1$bNjHacl 906 $aBOOK 912 $a9910688322303321 996 $aModel based detection and reconstruction of road traffic accidents$93390802 997 $aUNINA