81 Unfallstatistik
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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.
Injuries in motorbike accidents in correlation with protective clothes and mechanism of the accident
(2013)
This study deals with a possible connection between safety clothing / accident mechanism and injury severity in a state-wide traffic accident investigation with focus on light and small motorbike-involvement for accidents in the area of the Saarland in which the persons riding the bike have been injured or killed. An interdisciplinary team of medical scientists and engineers collected the medical and technical data as well as all the relevant traces of the accident on scene and in time. During twenty months of data collection a total of 401 cases could be gathered. Grave injuries were more common for the group of heavier motorcycles (>125 ccm). Motorcyclists had been polytraumatized only in the group where the accident was connected with a collision. Significant correlation between protective clothes and injury severity could only be found for protective gloves and protective trousers. The knowledge about mechanism of the accident, protective clothes and severity of injuries can be helpful for the improvement of road and motorcyclists' safety.
Mit der vorliegenden Untersuchung knüpft die Bundesanstalt für Straßenwesen an die letzte Untersuchung zum Unfallgeschehen von Wohnmobilen aus dem Jahr 1999 an. Neben der Entwicklung der Anzahl der Unfälle von Wohnmobilen im Zeitraum 2000 bis 2010 wird die Struktur der Unfälle beleuchtet. Auch die charakteristischen Merkmale der beteiligten Fahrer der Wohnmobile und einige technische Merkmale wie z.B. die Motorisierung und das zulässige Gesamtgewicht werden untersucht. Weiterhin wird die im Unfallgeschehen kleine Gruppe der Pkw mit Wohnanhänger soweit möglich in die Untersuchung einbezogen. Diese beiden Gruppen werden der Gesamtgruppe der Pkw-Unfälle vergleichend gegenübergestellt. Wohnmobile werden in der amtlichen Unfallstatistik nicht explizit codiert. Somit sind -im Rahmen der regelmäßigen Veröffentlichungen des Statistischen Bundesamtes -keine Informationen zum Unfallgeschehen von Wohnmobilen verfügbar. Dennoch ist es möglich, über die vom Kraftfahrt-Bundesamt ergänzten fahrzeugtechnischen Angaben zum Kraftfahrzeug, deutsche Wohnmobile zu identifizieren und mit der vollen Merkmalsbreite des amtlichen Datenmaterials auszuwerten. Mit einem Anteil von weniger als 0,3% an allen Unfällen mit Personenschaden stellen Unfälle unter Beteiligung von Wohnmobilen keinen Schwerpunkt im Unfallgeschehen dar. Im Jahr 2010 wurden 743 Unfälle mit Personenschaden registriert, an denen ein Wohnmobil beteiligt war. Die Entwicklung der Unfallbeteiligung stellt sich im Zeitraum 2000 bis 2010 mit einem Rückgang von 36% bei den Unfällen mit Personenschaden sogar günstiger dar, als die Entwicklung der Unfälle unter Pkw-Beteiligung (-28%). Bei Unfällen unter Beteiligung von Wohnmobilen wurden im Jahr 2010 insgesamt 19 Personen getötet und 202 Personen schwer verletzt. Darunter waren jedoch nur 4 getötete und 62 schwerverletzte Personen Insassen eines Wohnmobils; die übrigen Verunglückten wurden beim Unfallgegner registriert. Gleichwohl zeigt die nach Fahrern und Mitfahrern differenzierte Betrachtung der Unfallschwere bei den Wohnmobilen Ansatzpunkte zur Verbesserung der Sicherheit. Im Mittel des Zeitraumes 2000 bis 2010 weisen die Mitfahrer von Wohnmobilen eine deutlich erhöhte Unfallschwere im Vergleich zu den Fahrern auf. So liegt die Kenngrösse \"Schwere Personenschäden bezogen auf die Fahrer bzw. Mitfahrer\" bei den Mitfahrern bei 51 schweren Personenschäden je 1.000 Mitfahrer und bei den Fahrern bei 34 schweren Personenschäden je 1.000 Fahrer.
The overall purpose of the ASSESS project is to develop a relevant and standardised set of test and assessment methods and associated tools for integrated vehicle safety systems, primarily focussing on currently available pre-crash sensing systems. The first stage of the project was to define casualty relevant accident scenarios so that the test scenarios will be developed based on accident scenarios which currently result in the greatest injury outcome, measured by a combination of casualty severity and casualty frequency. The first analysis stage was completed using data from a range of accident databases, including those which were nationally representative (STATS19, UK and STRADA, SE) and in-depth sources which provided more detailed parameters to characterise the accident scenarios (GIDAS, DE and OTS, UK). A common analysis method was developed in order to compare the data from these different sources, and while the data sets were not completely compatible, the majority of the data was aligned in such a way that allowed a useful comparison to be made. As the ASSESS project focuses on pre-crash sensing systems fitted to passenger cars, the data selected for the analysis was "injury accidents which involved at least one passenger car". The accident data analysis yielded the following ranked list of most relevant accident scenarios: Rank Accident scenario 1 Driving accident - single vehicle loss of control 2 Accidents in longitudinal traffic (same and opposite directions) 3 Accidents with turning vehicle(s) or crossing paths in junctions 4 Accidents involving pedestrians The ranked list highlights the relatively large role played by "accidents in longitudinal traffic", and "accidents with turning vehicle(s) or crossing paths in junctions" (the second and third most prevalent accident scenarios, respectively). The pre-crash systems addressed in ASSESS propose to yield beneficial safety outcomes with specific regard to these accident scenarios. This indicates that the ASSESS project is highly relevant to the current casualty crash problem. In the second stage of the analysis a selection of these accident scenarios were analysed further to define the accident parameters at a more detailed level .This paper describes the analysis approach and results from the first analysis stage.
A total survey of road traffic accidents involving most severely injured, defined as sustaining a polytrauma or severe monotrauma (ISS > 15) or being killed, was conducted over 14 months in a large study region in Germany. Data on injuries, pre-clinical and clinical care, crash circumstances and vehicle damage were obtained both prospectively and retrospectively from trauma centers, dispatch centers, police and fire departments. 149 patients with a polytrauma and eight with a severe monotrauma were recorded altogether. 22 patients died in hospital. Another 76 victims had deceased at the accident scene. In 2008, 49 % of patients treated with life-threatening injuries were car or van occupants, 21 % motorcyclists, 18 % cyclists and 10 % pedestrians. Among fatalities at the scene, vehicle occupants constituted an even larger portion. The number of road users with life-threatening trauma in the region was extrapolated to the German situation. It suggests that 10 % among the "seriously injured" as defined in national accident statistics are surviving accident victims with a polytrauma or severe monotrauma.
The NHTSA-sponsored Crash Injury Research and Engineering Network (CIREN) has collected and analyzed crash, vehicle damage, and detailed injury data from over 4000 case occupants who were patients admitted to Level-I trauma centers following involvement in motor vehicle crashes. Since 2005, CIREN has used a methodology known as "BioTab" to analyze and document the causes of injuries resulting from passenger vehicle crashes. BioTab was developed to provide a complete evidenced-based method to describe and document injury causation from in-depth crash investigations with confidence levels assigned to the causes of injury based on the available evidence. This paper describes how the BioTab method is being used in CIREN to leverage the data collected from in-depth crash investigations, and particularly the detailed injury data available in CIREN, to develop evidence-based assessments of injury causation. CIREN case examples are provided to demonstrate the ability of the BioTab method to improve real-world crash/injury data assessment.
Tree impacts are still one of the most important focal points of road deaths in Germany. For the year 2008, the latest figures in the national statistics show a share of 28% of road users killed in crashes with trees alongside a road amongst all crashes on rural roads (except the Autobahn). The official German statistics show the attribute "impact on a tree" since 1995. For this first reported year, the share of road users killed in such crashes was 30%. During the last 14 years, fatal accidents with road users killed on rural roads (except the Autobahn) after impacts on a tree declined by 60% from 1,737 (year 1995) to 696 (year 2008). But this is more or less in line with the general evolution of vehicle and traffic safety in Germany. For Germany as a whole the accident statistics do not show a reduction for "treer crashes" which is clearly more than the average for all accidents. But, as shown with the paper, there are different evolutions in the several German States. In public awareness the topic "tree impacts" is mostly associated with the situation in Germany after the reunification. At that time a lot of road users were killed on the avenues in the so called "new countries". The fact that "tree impacts" are still a big share within the figure of killed road users seems to be little-known. Using updated information coming from the official statistics and in-depth-studies, accident researchers can identify a big potential for further improvements of traffic safety on the associated district roads, state roads and federal highways. There is still a need to analyse more details of the accident occurrence with impacts on trees to generate new and updated findings on the current limits and potentials of measures to improve vehicle and traffic safety. To make further efforts in reducing the figures of victims of "tree impacts" the intensification of well-known conventional solutions " for example implementation of guard rails and reduction of speed - is an option. Measures related to vehicle safety technology especially in the field of primary (active) safety will have additional benefit within the physically imposed limits. With this background it can be seen that the subject "tree impacts" should be analysed with a holistic approach taking into account the entire system of driver, vehicle, road, the environment and a social consensus as well.
Pedestrian and cyclist are the most vulnerable road users in traffic crashes. One important aspect of this study was the comparable analysis of the exact impact configuration and the resulting injury patterns of pedestrians and cyclists in view of epidemiology. The secondary aim was assessment of head injury risks and kinematics of adult pedestrian and cyclists in primary and secondary impacts and to correlate the injuries related to physical parameters like HIC value, 3ms linear acceleration, and discuss the technical parameter with injuries observed in real-world accidents based documented real accidents of GIDAS and explains the head injuries by simulated load and impact conditions based on PC-Crash and MADYMO. A subsample of n=402 pedestrians and n=940 bicyclists from GIDAS database, Germany was used for preselection, from which 22 pedestrian and 18 cyclist accidents were selected for reconstruction by initially using PC-Crash to calculate impact conditions, such as vehicle impact velocity, vehicle kinematic sequence and throw out distance. The impact conditions then were employed to identify the initial conditions in simulation of MADYMO reconstruction. The results show that cyclists always suffer lower injury outcomes for the same accident severity. Differences in HIC, head relative impact velocity, 3ms linear contiguous acceleration, maximum angular velocity and acceleration, contact force, throwing distance and head contact timing are shown. The differences of landing conditions in secondary impacts of pedestrians and cyclists are also identified. Injury risk curves were generated by logistic regression model for each predicting physical parameters.
Unfortunately, there has been a high number of accident fatalities reported in the Czech Republic in recent years. There are many causes which have led to a growth in the number of road traffic accidents. Since 1990, traffic density has demonstrated an upward moving tendency, daily traffic-jams are on the increase in many cities and traffic capacity on roads and streets is not able to satisfy this increasing density. Moreover, many road users lack experience in terms of driving modern cars. The National Accident Study of the Czech Republic is based on the assumption that the year 2010 is considered as a pilot project with the testing operation of collecting and evaluating data from traffic accidents. From the beginning of 2011, a fully-functional structure of the Traffic Accident Research will be created and solid data generated. Based on this assumption, we hope to begin meaningful cooperation with foreign countries.
A national initiative from the vehicle manufacturers, safety system suppliers, the road administration and universities in Sweden took off in 2007. The aim was to develop a national investigation network and a methodology focusing on all phases of a crash (pre-crash, in-crash and post-crash) as well as all parts of the road transport system (road user, vehicle and road environment). The initiative is formally run as a project with the acronym INTACT (Investigation Network and Accident Collection Techniques). It was a three year pilot with the aim to develop methodologies for an extended national crash investigation activity. During the first year the INTACT partners agreed on the aim for the investigation and methods for retrieving the data were developed. During the second and third year the methodology was tested in real-world investigations and further refinement was made. The paper describes the methodology developed to obtain high qualitative in-depth road crash data.