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Internationale Vergleiche der Verkehrssicherheit sind eine notwendige Ergänzung der üblichen Betrachtung der nationalen Unfallentwicklung. Die dazu benötigten detaillierten und zuverlässigen statistischen Angaben sind den einschlägigen internationalen Veröffentlichungen zum großen Teil nicht zu entnehmen. Die Bundesanstalt für Straßenwesen hat daher in Absprache mit dem Bundesminister für Verkehr eine Datenbank internationaler Verkehrs- und Unfalldaten aufgebaut. Die darin gesammelten Daten werden regelmäßig für internationale Vergleiche verwendet. Einige Ergebnisse werden in dieser Arbeit vorgestellt. Seit 1970 haben sich in den hochmotorisierten Ländern die Unfallzahlen im Prinzip günstig entwickelt. Der stärkste Rückgang bei den Getötetenraten ist für die Bundesrepublik Deutschland mit einer Abnahme um fast drei Viertel zu verzeichnen. Günstigere Sicherheitsniveaus haben jedoch durchgängig Großbritannien, die Niederlande, die Schweiz und zum Teil die USA. Bei der Betrachtung einzelner Segmente des Unfallgeschehens fällt auf, dass Deutschland sich sowohl bei den Kinderunfällen als auch bei der Sicherheit auf Autobahnen stark verbessert hat. Auf den Landstraßen ist das Sicherheitsniveau jedoch weniger erfreulich, hier sind auch die günstigen Werte der USA noch nicht erreicht. Internationale Vergleiche sind somit auch nützlich, um Problembereiche des Unfallgeschehens zu identifizieren.
Das Unfallgeschehen der Radfahrer wird analysiert. Ein erheblicher Anteil der Unfälle ereignet sich ohne Beteiligung motorisierter Fahrzeuge als Alleinunfall, bei Kollisionen mit Fußgängern oder Radfahrern. Viele Alleinunfälle werden nicht angezeigt, daher gibt es eine große Dunkelziffer. Das Schwergewicht der unfallbeteiligten Radfahrer liegt bei Kindern/Jugendlichen und bei Senioren. Der Anteil der Radfahrer als Hauptverursacher liegt bei ca. 47%. Hauptunfallstellen sind Kreuzungen und Einmündungen mit je über 28 %. Auf gesonderten Radwegen ist das Radfahren nur wenig sicherer als auf Straßen ohne Radwege; hinsichtlich der Unfallschwere ist das Bild uneinheitlich. Das Unfallgeschehen an Knotenpunkten wird genauer beschrieben.
Es wird der Frage nachgegangen, mit welchen statistischen Verfahren der simultane Vergleich mehrerer Messwerte verschiedener Testverfahren vorgenommen werden kann. Hierzu werden vier Methoden vorgestellt: der multiple Vergleich, die ANOVA-Varianzanalyse, die Methode der multiplen Endpoints sowie die Akkumulationsstatistik. Die Demonstration erfolgt an den Merkmalen periphere Wahrnehmung, Daueraufmerksamkeit, Tachistoskop, Tracking und mittlere Entscheidungszeit. Untersucht wurden 2 mal 13 Probanden (Methadon- und Kontrollgruppe). Es zeigte sich, dass die Akkumulationsstatistik eine optimale, für die Thematik äquivalente Bewertung für mehrere simultan gemessene fahrrelevante Leistungen darstellt. Voraussetzung für den Einsatz ist allerdings, dass die Verkehrswissenschaften sich über Art, Umfang und Gewichtung der verschiedenen Komponenten der fahrrelevanten Leistungen einig sind.
Internationale Vergleichszahlen legen nahe, dass die Sicherheitspotenziale für die Verkehrsteilnehmergruppe der jungen Fahrerinnen und Fahrer in Deutschland bislang noch nicht optimal ausgeschöpft worden sind. Das hohe Unfallrisiko junger Leute ist das Ergebnis des Einflusses vieler ungünstiger Einzelbedingungen, deren Zusammenwirken das Risiko deutlich potenziert. Eine besondere Rolle spielt hierbei die Unerfahrenheit im Fahren. Aufgrund des multifaktoriellen Bedingungsgefüges des Unfallrisikos junger Fahrerinnen und Fahrer ist diesem Sicherheitsproblem nicht mit einer singulären Maßnahme, sondern nur mit einem Bündel aufeinander abgestimmter Maßnahmen zu begegnen. Die Zukunft der Verkehrssicherheit dieser besonders gefährdeten Zielgruppe wird unter anderem auch davon abhängen, wie gut es gelingen wird, die Kluft zwischen den wissenschaftlichen Erkenntnissen zum Unfallrisiko junger Fahrerinnen und Fahrer und einer adäquaten Umsetzung in Verkehrssicherheitsmaßnahmen zu schließen.
Data concerning accidents involving personal injury which have been collected in the context of in-depth investigations on scene in the Hannover area since 1973 and in the Dresden area since 1999 represent an important basis for empirical traffic safety research. At national and international level various analyses and comparisons are carried out on the basis of "in-depth data" from the above mentioned investigations. In-depth data play a decisive role e.g. within the validation of EuroNCAP results on secondary safety (crashworthiness) of individual passenger car models. Thus, statistically sound methods of data analysis and population parameter estimation are of high importance. Since the 1st of August 1984 the "in-depth investigations on scene" in the Hannover area have been carried out according to a sampling plan developed by HAUTZINGER in the context of a research project on behalf of BASt. In the meantime a second region of in-depth investigation on scene was added with surveys in Dresden and the surrounding area. Internationally, the acronym GIDAS (German In-Depth Accident Study) is commonly used for the two above mentioned surveys. The objective of a current research project (topic of this contribution) is, among other things, to examine and adjust the previous weighting and expansion method for the two regional accident investigations to the current general conditions.
The second ESAR Conference took place at the Medical University Hannover. This year conference presents the current state of affairs of relevant research activities in the field of in-depth investigations. The first conference on ESAR (Expert Symposium on Accident Research) was established in 2004. It is planned to hold ESAR every two years. Hannover seems to be the right place for this conference concerning the fact that the first in-depth research team was found here in the year 1973 and comprehensive studies on accident analysis were spread out from here around the world continuously. This year conference topped all expectations in terms of the numbers of participants, in the variety of papers and the interdisciplinary of presenters from medical, psychological and engineering background. More than 100 delegates from all over the world, that means 13 different countries and from 4 different continents, came to Hannover, presented their results of accident investigation and discussed countermeasures for accident prevention and injury reduction. ESAR should be a platform for exchange of knowledge to find an optimized way for increase of traffic and vehicle safety by in-depth investigation and methodology. ESAR as international conference should be a platform for consideration of all nations round the world. This seems to be very important for the current situation, having high safety in the high industrial countries of Europe, US and Australia, but low safety and high injury risk in Asia and Africa.
Empirical vehicle crashworthiness studies are usually based on national or in-depth traffic accident surveys: Data on accident-involved cars/drivers are analysed in order to quantify the chance of driver injury and to assess certain risk factors like car make and model. As the cars/drivers involved in the same accident form a "cluster", where the size of the cluster equals the number of accident-involved parties, traffic accident survey data are typical multi-level data with accidents as first-level or primary and cars/drivers as secondlevel or secondary units (car occupants in general are to be considered as third level units). Consequently, appropriate statistical multi-level models are to be used for driver injury risk estimation purposes as these models properly account for the cluster structure of traffic accident survey data. In recent years various types of regression models for clustered data have been developed in the statistical sciences. This paper presents multi-level statistical models, which are generally applicable for vehicle crashworthiness assessment in the sense that data on single and multiple car crashes can be analysed simultaneously. As a special case of multi-level modelling driver injury risk estimation based on paired-by-collision car/driver data is considered. It is demonstrated that assessment results may be seriously biased, if the cluster structure inherent in traffic accident survey data is erroneously ignored in the data analysis stage.
In the context of this study, different data sources for accident research were examined regarding their possible data access and evaluated concerning the individual quality and extent of the data. Analyses of accidents require detailed and comprehensive information in particular concerning vehicle damages, injury patterns and descriptions of the accident sequence. The police documentation supplies the basic accident statistics and is amended in the context of the forensic treatment by further information, e.g. by medical and technical appraisals and witness questionings. As a new approach to the data acquisition for the analysis of fatal traffic accidents, the information was made usable which was collected by the police and by the investigations of the public prosecutor. The best strategy for obtaining reliable, extensive and complete data consists of combining the information from these two sources: the very complete, but elementary statistic data of the Niedersächsisches Landesamt für Statistik (Lower Saxony State Authority of Statistics), based on the police documentation as well as the very extensive accident information resulting from the investigation documentation of the public prosecutor after conclusion of the procedure, the so-called Court Records. Of all 715 fatal traffic accidents, which happened in the year 2003 in the German State of Lower Saxony, 238 cases were selected by means of a statistically coincidental selective procedure based on a statistically representative manner (every third accident). These cases cover the investigation documents of the 11 responsible public prosecutor- offices, which were requested and evaluated while preserving the data security. Of the 238 cases 202 cases were available, which were individually coded and stored in a data base using 160 variables. Thus a data base of a sample of representative data for fatal accidents in Lower Saxony was set up. The data base contains extensive information concerning general accident data (35 variables), concerning road and road surface data (30 variables), concerning vehicle-specific data (68 variables) as well as concerning personal and injury data (27 variables).
The incidence and treatment of sternal fractures among traffic accidents are of increasing importance to ensure best possible outcomes. Analysis of technical indicators of the collision, preclinical and clinical data of patients with sterna fractures from 1985-2004 among 42,055 injured patients were assessed by an Accident Research Unit. Two time groups were categorized: 1985-1994 (A) vs. 1995-2004 (B). 267/42,055 patients (0.64%) suffered a sterna fracture. Regarding the vehicle type, the majority occurred after car accidents in 0.81% (251/31,183 pts), followed by 0.19% (5/2,633pts) driving motorbike, and 0.11% (4/3,258pts) driving a truck. 91% wore a safety belt. Only 13% of all passengers suffering a sternal fracture had an airbag on board (33/255 car/trucks), with an airbag malfunction in 18%. The steering column was deformed in 39%, the steering wheel in 36%. Cars in the recent years were significantly older (7.67-±5 years (B) vs. 5.88-±5 years (A), p=0.003). Cervical spine injuries are frequent (23% vs. 22%), followed by multiple rib fractures (14% vs. 12%) and lung injuries (12% vs. 11%). We found 9/146 (6%) and 3/121 patients (3%) with heart contusion among the 267 sternal fractures. MAIS was 2.56-±1.3 vs. 2.62-±1.3 (A vs. B, p=0.349). 18% of patients were polytraumatized, with 11.2% dying at the scene, 2.3% in the hospital. Sternal fractures occur most often in old cars to seat-belted drivers often without any airbag. Severe multiple rib fractures and lung contusion are concomitant injuries in more than 10% each indicating the severity of the crash. Over a twentyyear period, the injury severity encountered was not different with 18% polytrauma patients suffering sternal fractures.
Bicyclists are minimally or unprotected road users. Their vulnerability results in a high injury risk despite their relatively low own speed. However, the actual injury situation of bicyclists has not been investigated very well so far. The purpose of this study was to analyze the actual injury situation of bicyclists in Germany to create a basis for effective preventive measures. Technical and medical data were prospectively collected shortly after the accident at the accident scenes and medical institutions providing care for the injured. Data of injured bicyclists from 1985 to 2003 were analyzed for the following parameters: collision opponent, collision type, collision speed (km/h), Abbreviated Injury Scale (AIS), Maximum AIS (MAIS), incidence of polytrauma (Injury Severity Score >16), incidence of death (death before end of first hospital stay). 4,264 injured bicyclists were included. 55% were male and 45% female. The age was grouped to preschool age in 0.9%, 6 to 12 years in 10.8%, 13 to 17 years in 10.4%, 18 to 64 years in 64.7%, and over 64 years in 13.2%. The MAIS was 1 in 78.8%, 2 in 17.0%, 3 in 3.0%, 4 in 0.6%, 5 in 0.4%, and 6 in 0.2%. The incidence of polytrauma was 0.9%, and the incidence of death was 0.5%. The incidence of injuries to different body regions was as follows: head, 47.8%; neck, 5.2%, thorax, 21%; upper extremities, 46.3%; abdomen, 5.8%; pelvis, 11.5%, lower extremities, 62.1%. The accident location was urban in 95.2%, and rural in 4.8%. The accidents happened during daylight in 82.4%, during night in 12.2%, and during dawn/dusk in 5.3%. The road situation was as follows: straight, 27.3%; bend, 3.0%; junction, 32.0%; crossing, 26.4%; gate, 5.9%; others, 5.4%. The collision opponents were cars in 65.8%, trucks in 7.2%, bicycles in 7.4%, standing objects in 8.8%, multiple objects in 4.3%, and others in 6.5%. The collision speed was grouped <31 in 77.9%, 31-50 in 4.9%, 51-70 in 3.7%, and >70 in 1.5%. The helmet use rate was 1.5%. 68% of the registered head injuries were located in the effective helmet protection area. In bicyclists, head and extremities are at high risk for injuries. The helmet use rate is unsatisfactorily low. Remarkably, two thirds of the head injuries could have been prevented by helmets. Accidents are concentrated to crossings, junctions and gates. A significant lower mean injury severity was observed in victims using separate bicycle lanes. These results do strongly support the extension or addition of bicycle lanes and their consequent use. However, the lanes are frequently interrupted at crossings and junctions. This emphasizes also the important endangering of bicyclists coming from crossings, junctions and gates, i.e. all situations in which contact of bicyclists to motorized vehicles is possible. Redesigning junctions and bicycle traffic lanes to minimize the possibility of this dangerous contact would be preventive measures. A more consequent helmet use and use and an extension of bicycle paths for a better separation of bicyclists and motorized vehicle would be simple but very effective preventive measures.