DETERMINATION OF RISK FACTORS OF ACCIDENT CAUSATION
Sarah Busch, Robert Zobel, J-P Kreiss
Abstract
Sarah Busch, Robert Zobel, J-P Kreiss
Abstract
ln Germany, the GIDAS-Project (German In Depth Accident Study) provides detailed accident data. To date, this data has been mainly used for passive safety research. Now that car manufacturers continue to sell an increasing number of systems for active safety, the focus of accident research turns towards risk factors of accident causation as well. This paper describes an approach to determine risk-factors of accident causation from accident data. Promising results are revealed for the influence of drunk driving, age and gender. For the covering abstract see ITRD E117734.
OpenAlex reports 4 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
ln Germany, the GIDAS-Project (German In Depth Accident Study) provides detailed accident data. To date, this data has been mainly used for passive safety research. Now that car manufacturers continue to sell an increasing number of systems for active safety, the focus of accident research turns towards risk factors of accident causation as well. This paper describes an approach to determine risk-factors of accident causation from accident data. Promising results are revealed for the influence of drunk driving, age and gender. For the covering abstract see ITRD E117734.
Key concepts: Accident (philosophy), Causation, German, Engineering, Forensic engineering, Accident analysis, Risk analysis (engineering), Transport engineering