5th International Conference on ESAR
Filtern
Schlagworte
- Conference (4)
- Deutschland (4)
- Germany (4)
- Konferenz (4)
- Accident (3)
- Driver (3)
- Fahrer (3)
- Unfall (3)
- Alte Leute (2)
- Analyse (Math) (2)
- Analysis (math) (2)
- Cause (2)
- Injury (2)
- Old people (2)
- Reconstruction (accid) (2)
- Schweregrad (Unfall (2)
- Severity (accid (2)
- Unfallrekonstruktion (2)
- Ursache (2)
- Verletzung) (2)
- injury) (2)
- Bewertung (1)
- Bicycle (1)
- Cyclist (1)
- Error (1)
- Evaluation (assessment) (1)
- Fahranfänger (1)
- Fahrrad (1)
- Fatality (1)
- Fehler (1)
- Front (1)
- Human factor (1)
- Insasse (1)
- Menschlicher Faktor (1)
- On the spot accident investigation (1)
- Radfahrer (1)
- Recently qualified driver (1)
- Road user (1)
- Spinal column (1)
- Statistics (1)
- Statistik (1)
- Tödlicher Unfall (1)
- Untersuchung am Unfallort (1)
- Vehicle occupant (1)
- Verkehrsteilnehmer (1)
- Verletzung (1)
- Vorn (1)
- Wirbelsäule (1)
With an ever rising human life expectancy the share of elderly people in society is constantly rising. This leads to the fact that at the same rate the share of people with age related diseases such as dementia and poor eyesight taking part in traffic will rise and therefore traffic accidents caused by this group of people due to the disease will play an ever greater role. This Situation will be among the future challenges of road safety work. At present this study displays specific characteristics of accidents caused by elderly car drivers (aged 65 or higher) based on the analysis of the German In-Depth Accident Study GIDAS. Herein almost 1000 elderly car drivers were identified as accident participants in the years 2008 to 2011. The focus of this study lies on identifying special types of accidents which are caused by elderly drivers and on characterizing these types with the information gathered on scene and by interviewing the participants. The main evidence analyzed is the knowledge about the accident locality, the trajectories of the participants as well as the reasons for the occurrence of the accidents. Furthermore personal information such as the personal condition before the accident and driving purposes is used to identify patterns of contributing circumstances for accidents caused by elderly traffic participants.
Introduction: Spine injuries pose a considerable risk to life and quality of life. The total number of road deaths in developed countries has markedly decreased, e.g. in Germany from over 20000 in 1970 to less than 4000 in 2010, but little is known how this is reflected in the burden of spine fractures of motor vehicle users. In this study, we aimed to show the actual incidence of spine injuries among drivers and front passengers and elucidate possible dependencies between crash mechanisms and types of injuries.
From literature well-known analyzes on risks, hazards and causes of accidents of older drivers are amended by the present study in which a comparison of the specific features of accident causes of older car drivers (older than 60 years) and of younger car drivers (under 25 years) is conducted. Mainly the question is pursued if specific errors, mistakes and lapses are predominant in the two different age groups. The analysis system ACAS (Accident Causation Analysis System) used hereby consists of a sequential system of accident causation factors from the human, the technical and the infrastructural field, whereupon for this study the influence of the human features on the accident development in two different age groups is of interest. ACAS is both an accident model and an analysis and classification system, which describes the human participation factors of an accident and their causes in the temporal sequence (from the perceptibility to concrete action errors) taking into consideration the logical sequence of individual basic functions. In five steps (categories) of a logical and temporal sequence the hierarchical system makes human functions and processes as determinants of accident causes identifiable. The methodology specifically focuses on the use in so-called "In-Depth" and "On-Scene" investigation studies. With the help of the system for each accident participant one or more of five hypotheses of human cause factors are formed and then specified by appropriate verification criteria. These hypotheses in turn are further specified by indicators in such manner that the coding of the causation factors by a code system meets the needs of database processing and are accessible to a quantitative data analysis. The first results of the descriptive comparison of the two age groups concern mainly differences in the functional levels "information admission/perception" (where the elderly drivers have more difficulties than the young ones) and "information processing/evaluation" (where the younger drivers show more problems). Concerning the cognitive function of "planning" the group of younger drivers seems to be more often involved in an accident because of excessive speed.