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Demands on accident research for optimization of future traffic safety

Strick, Stefan

Originalveröffentlichung: (2015) 6th International Conference on ESAR 2014
Dokument 1.pdf (44 KB)

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Freie Schlagwörter (Deutsch): Aktives Sicherheitssystem , Analyse (math) , Datenerfassung , Deutschland , Fahrerassistenzsystem , Konferenz , Schweregrad (Unfall, Verletzung) , Sicherheit , Statistik , Unfall , Unfallrekonstruktion , Verbesserung
Freie Schlagwörter (Englisch): Accident , Active safety system , Analysis (math) , Conference , Data acquisition , Driver assistance system , Germany , Improvement , Reconstruction (accid) , Safety , Severity (accid, injury) , Statistics
Collection 1: BASt-Beiträge / Tagungen / International Conference on ESAR / 6th International Conference on ESAR
Collection 2: BASt-Beiträge / ITRD Sachgebiete / 81 Unfallstatistik
Collection 3: BASt-Beiträge / ITRD Sachgebiete / 80 Unfallforschung
Institut: Präsident
DDC-Sachgruppe: Ingenieurwissenschaften
Dokumentart: InProceedings (Aufsatz / Paper einer Konferenz etc.)
Sprache: Englisch
Erstellungsjahr: 2015
Publikationsdatum: 15.09.2015
Kurzfassung auf Englisch: Enhanced protection of pedestrians and cyclists remains on the focus. Besides infrastructural and behavioral aspects it is necessary to exploit technical solutions placed on motorized vehicles. Accident research needs reliable data as well as national road accident statistics. Changing the view on seriously injured road users is one of the challenges which will substantially contribute to the optimization on future traffic safety. The missing accuracy in the definition of personal injury has a detrimental effect on making cost efficient road safety policy which is not only focused on fatal accidents. The European commission requested that, starting in 2015, all EU member states provide more detailed data on the injury status of road casualties, with special regard to the group of seriously injured. Conventional accident data will always be essential. But to obtain detailed data about driver behavior in real traffic situations further data sources are required. These could be EDR data, data from electronic control units, data from traffic surveys and traffic counting, naturalistic diving studies and field operational tests. Gaining insight into normal as well as critical driver behavior will enable accident researchers to deduct functions estimating the increase or decrease of accident risk associated with certain behaviors or vehicle functions. Also with view to the introduction of highly automated driving functions in the future such data is urgently needed. Computer simulation based tools to estimate the benefits of active safety systems are another step on the way towards the safety assessment of automated driving. It is now the duty of the scientific community to ask the right questions, to develop a methodology and to merge all these data sources into a common framework for the assessment of future traffic safety innovations.