Eingang zum Volltext in OPUS

Hinweis zum Urheberrecht

InProceedings (Aufsatz / Paper einer Konferenz etc.) zugänglich unter
URL: http://bast.opus.hbz-nrw.de/volltexte/2017/1864/


ADAC accident research – accident analysis based simulation of the most dangerous scenarios

Unger, Thomas ; Haslbeck, Johannes Ludwig ; Schneider, Stefan-Alexander

Originalveröffentlichung: (2017) 7th International Conference on ESAR "Expert Symposium on Accident Research" 2016
pdf-Format:
Dokument 1.pdf (1.066 KB)

Bookmark bei Connotea Bookmark bei del.icio.us
Freie Schlagwörter (Deutsch): Aktives Sicherheitssystem , Analyse (math) , Deutschland , Fahrerassistenzsystem , Konferenz , Simulation , Unfall , Unfallrekonstruktion , Versuch , Zusammenstoß
Freie Schlagwörter (Englisch): Accident , Accident reconstruction , Active safety system , Analysis (math) , Collision , Conference , Driver assistance system , Germany , Simulation , Test
Collection 1: BASt-Beiträge / ITRD Sachgebiete / 91 Fahrzeugkonstruktion
Collection 2: BASt-Beiträge / ITRD Sachgebiete / 80 Unfallforschung
Collection 3: BASt-Beiträge / Tagungen / International Conference on ESAR / 7th International Conference on ESAR
Institut: Sonstige
DDC-Sachgruppe: Ingenieurwissenschaften
Sonstige beteiligte Institution: ADAC Technik Zentrum (Landsberg/Lech)
Dokumentart: InProceedings (Aufsatz / Paper einer Konferenz etc.)
Sprache: Englisch
Erstellungsjahr: 2017
Publikationsdatum: 17.10.2017
Bemerkung: Außerdem beteiligt: Hochschule für angewandte Wissenschaften (Kempten)
Kurzfassung auf Englisch: For more than a decade, ADAC accident researchers have analysed road accidents with severe injuries, recording some 20,000 accidents. An important task in accident research is to determine the causative factors of road accidents. Apart from vehicle engineering and human factors, accident research also focuses on infrastructural and environmental aspects. To find out what accident scenarios are the most common in ADAC accident research and what driver assistance systems can prevent them, our first task was to conduct a detailed accident analysis. Using CarMaker, we performed a realistic simulation of accident scenarios, including crashes, with varying parameters. To begin with, we made an initial selection of driver assistance systems in order to determine those with the greatest accident prevention potential. One important finding of this study is that the safety potential of the individual driver assistance systems can actually be examined. It also turned out that active safety offers even much more potential for development and innovation than passive safety. At the same time, testing becomes more demanding, too, as new systems keep entering the market, many of them differing in functional details. ADAC will continue to test all driver assistance systems as realistically as possible so as to be able to provide advice to car buyers. Therefore, it will be essential to develop and improve test conditions and criteria.