81 Unfallstatistik
Filtern
Erscheinungsjahr
- 2010 (18)
- 2005 (16)
- 2009 (13)
- 2007 (11)
- 2013 (11)
- 2004 (9)
- 2008 (7)
- 2000 (6)
- 2002 (6)
- 1998 (5)
- 2015 (5)
- 1996 (4)
- 2001 (4)
- 1997 (3)
- 2003 (3)
- 2017 (3)
- 1989 (2)
- 1991 (2)
- 1993 (2)
- 1995 (2)
- 2006 (2)
- 2014 (2)
- 2016 (2)
- 1974 (1)
- 1978 (1)
- 1981 (1)
- 1985 (1)
- 1986 (1)
- 1987 (1)
- 1988 (1)
- 1990 (1)
- 2011 (1)
- 2012 (1)
Dokumenttyp
- Konferenzveröffentlichung (59)
- Wissenschaftlicher Artikel (37)
- Buch (Monographie) (34)
- Arbeitspapier (10)
- Teil eines Buches (Kapitel) (5)
- Bericht (3)
Schlagworte
- Accident (148) (entfernen)
Institut
Motorcycle riders are one of the most vulnerable road users. Annually, on estimate 6000 people are killed in motorcycle accidents in the former 15 EU countries. The objective of this research was to investigate and analyze the main aspects and causes of this vulnerability and the accidents in general. For this aim around 70 accidents in The Netherlands were investigated in the framework of an international research program (MAIDS). Also a control group of motorcycles with riders was investigated so that exposure could be taken into account. An important result is that human failure is in 82% of the cases the main cause of the accident, in 52% this is due the other vehicle driver. Perception and decision failures are the most common failures. The most injuries are caused by the environment but they are typically only less severe (AIS1). Injuries caused by the car (front and side) are typically severe injuries (AIS4+). Previous convictions of the MC rider seem to be related to the chance to get involved in an accident. It was shown that the Dutch and the total MAIDS accident sample are comparable.
Die Bundesanstalt für Straßenwesen (BASt) bringt zum Ende jeden Jahres eine Prognose der Unfall- und Verunglücktenzahlen des noch laufenden Jahres heraus, um so über die Entwicklung der Verkehrssicherheit in Deutschland Bilanz ziehen zu können. Dabei wird das Unfallgeschehen nach dem Schweregrad der Konsequenzen, der Ortslage sowie Alter und Art der Verkehrsbeteiligung der Verunglückten in 27 Zeitreihen unterteilt. Zu diesem Zeitpunkt sind die Daten lediglich für die ersten acht oder neun Monate erhältlich. Um Bilanz zu ziehen, werden die Anzahlen der letzten drei oder vier Monate prognostiziert. Gesamtziel des hier beschriebenen Forschungsvorhabens ist die Optimierung der jährlichen Unfallprognosen durch Anwendung von strukturellen Zeitreihenmodellen, bei denen die Vorhersagen aus dem Trend der vorliegenden Monate, und der Dynamik der vorhergehenden Jahre abgeleitet werden. Um dem Einfluss der Witterungsverhältnisse Rechnung zu tragen, werden dabei meteorologische Variablen in das Vorhersagemodell aufgenommen. Um die Modelle zu testen, werden die endgültigen Daten der letzten 15 Jahre jeweils aus den vorläufigen Daten der ersten Monate vorhergesagt und mit den tatsächlich beobachteten endgültigen Unfall- und Verunglücktenzahlen verglichen. Die Resultate zeigen, dass im Vergleich zu den bisherigen Vorhersagen mithilfe der hier vorgestellten Modelle die Vorhersagen für 25 der 27 Reihen präziser werden. Lediglich zwei Reihen zeigen einen leichten Anstieg des Vorhersagefehlers. Beim Vergleich von Modellen mit und ohne meteorologischen Variablen zeigt sich, dass 23 der 27 Reihen besser vorhergesagt werden können, wenn man das Wetter berücksichtigt. Neben der verbesserten Vorhersage ermöglicht die Aufnahme der Wettervariablen auch eine Einschätzung, wie groß der Einfluss der Witterungsgegebenheiten auf das Unfallgeschehen ist. Es zeigt sich also, dass die Anwendung von strukturellen Zeitreihenmodellen und die Berücksichtigung von meteorologischen Variablen zu einer deutlichen Verbesserung der Vorhersagegenauigkeit führen. Die Verbesserung der Vorhersagen durch die Aufnahme von Wettervariablen bestätigt nochmals den Einfluss der Witterungsumstände auf das Unfallgeschehen.
The significant demographic changes are predicted for the European future. The age group over 65 years is permanently increasing and over next 30 years every fourth person will belong to this group. This development will continue so far that by 2050 in many countries will double the percentage of the population aged 65 and more. Many studies analyze the new phenomena of the ageing (graying) society during the last decade. Mobility is integrated part of the life of every citizen, even more it means for the elderly people. The adequate mobility is the precondition for their active life and for their social communication that contribute to their health and functional capacity and their autonomy and independency. The active seniors demand less public support. The mobility of the older citizens is closely linked with health and societal problems and creates an important public challenge. On the other side the participation of seniors in transport due to their limited physical and mental possibilities means for them an increased risk to be injured or killed. The main mobility spaces are roads that can be used not only as a traveler in a vehicle (driver or passenger) but also as a pedestrian or cyclist or even as a motorcyclist. The road traffic is then an opportunity and danger in the same time. The accident analyzes show specific risk features of seniors that are different compared with other age groups. First of all the older road users (65 and more) are facing to the higher risk (number of killed divided by the population size) to be killed in a road accident compared with the group of younger road users (0 - 64). More significant difference can be observed when comparing the road user groups. The fatality percentage of the older pedestrians is 2,5 times higher compared with the group 25 " 64. Similar frequency show the cyclist fatalities. On the other side the vehicle passengers in the younger group have more or less two time higher percentage compared to seniors and in the group of motorcyclists even achieved in 2008 almost five times higher compared with the older group. The share of the old road users fatalities (around 19%) didn"t practically change during the last 10 years in the European average. But comparing the gender involvement (2006) there is an interesting difference " female fatalities make 30, 2%, male fatalities 15, 3% of all fatalities in their groups. The risk of the senior users is more connected with their physical and mental limits than with their risk behavior. According to the Czech statistics (2007) the vehicle drivers over 65 years cause only 3, 6% of all accidents. The solution of the problem is to minimize the risk and to create a safe environment for the elderly people using the roads. In order to achieve this goal a deep knowledge of risk and of accident circumstances, full understanding of the behavior of the seniors and their limitations and accommodating approach of the whole society is necessary. Road risk of the ageing society has to be considered as a part of the health and social policy. These can build a creditable basis for the implementation of the measures that secure safe moving of seniors on the roads.
A lack of representative European accident data to aid the development of safety policy, regulation and technological advancement is a major obstacle in the European Union. Data are needed to assess the performance of road and vehicle safety and is also needed to support the development of further actions by stakeholders. This short-paper describes the process of developing a data collection and analysis system designed to partly fill these gaps. A project team with members from 7 countries was set up to devise appropriate variable lists to collect fatal crash data under the following topic levels: accident, road environment, vehicle, and road user, using retrospective detailed police reports (n=1,300). The typical level of detail recorded was a minimum of 150 variables for each accident. The project will enable multidisciplinary information on the circumstances of fatal crashes to be interpreted to provide information on a range of causal factors and events surrounding the collisions.
Nowadays, traffic accidents are recorded in historical databases. Regarding the huge quantity of data, the use of data mining tools is essential to help Experts, for automatically extracting relevant information in order to establish and quantify relations between severity and potential factors of accidents. An innovative approach is here proposed for an in depth investigation of real world accidents data base. Mutual information ratio based on conditional entropies is used to quantity the association strength between an accident outcome descriptor (injury severity) and other potential association factors. Information theoretic methods help to select automatically groups of factors mostly responsible of the severity of accident.
Berichtet wird über Wildunfälle in Deutschland im Jahre 1997. Sie werden in der amtlichen Straßenverkehrsunfallstatistik nur berücksichtigt, wenn sie Personenschäden oder schwere Sachschäden zur Folge hatten oder unter Alkoholeinfluss geschahen. Analysiert wurden 3.154 Wildunfälle der amtlichen Unfallstatistik. Die Zahl der Verunglückten je 1.000 Unfälle mit Personenschaden ist bei Wildunfällen geringer als bei sonstigen Unfällen, allerdings ist eine rückläufige Tendenz der schweren Unfälle im Gesamtunfallgeschehen bei den Wildunfällen nicht zu erkennen.
Nächtliche Freizeitunfälle junger Fahrer stellen einen besonderen Problembereich dar. Gemessen an ihrem Anteil an der Bevölkerung sind junge Fahrer im Alter von 18 bis 24 Jahren überdurchschnittlich häufig am Unfallgeschehen beteiligt. Vor diesem Hintergrund wurde die Studie "Regionalstruktur nächtlicher Freizeitunfälle junger Fahrer" der Jahre 1992/93 aktualisiert. Dazu wurden die Daten der amtlichen Straßenverkehrsunfallstatistik der Jahre 1997 und 1998 untersucht. Als junge Fahrer bei nächtlichen Freizeitunfällen werden alle 18-24-jährigen Fahrer und Fahrerinnen von Pkw und Motorrädern bezeichnet, die an Unfällen mit Personenschaden in der Zeit von 20 Uhr abends bis 3.59 Uhr morgens beziehungsweise am Wochenende (Samstag, Sonn- und Feiertag) bis 5.59 Uhr morgens beteiligt waren. Insgesamt waren in den Jahren 1997 und 1998 über 60.000 junge Fahrer an nächtlichen Unfällen mit Personenschaden beteiligt, das sind 24 Prozent aller jungen Unfallbeteiligten. Der typische unfallbeteiligte junge Fahrer ist ein Mann, der überdurchschnittlich häufig mit "nicht angepasster Geschwindigkeit" unterwegs ist oder unter "Alkoholeinfluss" steht. Die Unfallbeteiligung junger Fahrer ist regional sehr unterschiedlich. Für alle 439 Stadt- und Landkreise Deutschlands wurden kreisbezogene Kenngrößen wie zum Beispiel Unfallbeteiligung, Alkoholeinfluss und Risiko junger Fahrer berechnet und die Ergebnisse kartografisch dargestellt. Die Verteilung im Bundesgebiet zeigt deutliche Zusammenhänge mit der Siedlungsstruktur. Anhand der Bevölkerungs- und Flächendaten der Stadt- und Landkreise wurden 6 Kreisstrukturtypen gebildet, die unterschiedliche Verdichtungsstufen beschreiben. Obwohl die Anzahl nächtlicher Freizeitunfälle in den Ballungsräumen sehr hoch ist, sind junge Fahrer und ihre Mitfahrer in ländlichen Gebieten am stärksten gefährdet.
The increasing economics in India has an enormous growth of its road traffic. As observed from official Indian accident statistics the number of road fatalities are one of the highest worldwide. In contrast to most industrialized nations they have an rapidly increasing trend. To come along with this trend it becomes more than essential to understand the traffic accident situation. The official Indian accident statistics gives a glimpse of only basic information. Therefore more detailed data is needed. By using In-depth accident data and officially representative statistics the current accident situation can be evaluated in India, if a suitable weighting methodology is considered. Hence in 2009/2010 a pilot study with the collaboration partner JP-Research India pvt. Ldt. was gathered in Tamil Nadu in south of India. In-depth accident investigations were done around the Coimbatore area on four highways. At first, the collected data is evaluated. Due to consequent and continuous further development based on the first approach a methodology similar to NASS/CDS/GES in the US and GIDAS in Germany was developed. Of course all relevant accident related parameters including pictures and severity information were collected. As a matter of fact based on scaled sketches and reconstruction benefit analyses can be done in order to analyze the accident scenery in India. As a first outcome influence from infrastructure, missing education and vehicle safety were identified as key parameters in order to reduce the number of accidents and casualties. To compare the accident situation against international standards an accident classification for left hand traffic was developed based on the German Insurance classification system. Looking into detail additional accident types were identified and added to create an Indian accident type catalogue. The positive results encouraged several OEMs to participate in this investigation and together with BOSCH a consortium was established in 2010/11. Within one year from beginning in May 2011 about 200 highway accidents were collected, reported and reconstructed using the new standard. Hence a first good overview of the accident situation is available for the Coimbatore Tamil Nadu area. The major target for establishing accident investigations is the extension towards other states of India and urban areas to achieve a better overview of the accident scenery. Therefore local and national authorities have to be embedded in order to strengthen the awareness against traffic safety.
NASS: the glass is half full
(2007)
The National Accident Sampling System (NASS) was born in the late 1970s. It was based on a substantial amount of experience and analysis of what was needed in the United States to understand the safety challenges of our highways. This work also showed how to collect high quality and useful crash data efficiently. Unfortunately, when Ronald Reagan - a President who believed in limited government - was elected, any hope of full funding for NASS was lost. The concept of 75 teams investigating about 18,000 serious crashes in detail annually was never realized. The system got up to 50 teams, then was cut to 36, and finally to 24 teams investigating fewer than a quarter of the originally anticipated number of crashes per year. Despite this, the NASS investigations provide a rich source of data, collected according to a sophisticated statistical sampling system to facilitate detailed national estimates of road casualties on our nation- highways and their causes. In addition, changes have been made in recent years to increase the number of more serious crashes of recent model vehicles to make the results more relevant to improving vehicle safety. A recent, detailed examination of hundreds of rollovers has provided considerable insight into rollover casualties and into what can be done to reduce them. Some of these results will be presented that show the value of the NASS system. Our experience with NASS and the Fatal Accident Reporting System (FARS) suggests a number of improvements that could be made in the United States" crash data systems. It also provides justification for a doubling or tripling of our national expenditures on crash data collection.
Der zweite Kinderunfallatlas der Bundesanstalt für Straßenwesen beschreibt die Unfallbelastung der bei Straßenverkehrsunfällen verunglückten Kinder für alle Kreise, Städte und Gemeinden in Deutschland. Für die Jahre 2006 bis 2010 wird die regionale Verteilung der Kinderverkehrsunfälle analysiert; darüber hinaus werden die Daten mit denen der Jahre 2001 bis 2005 in Beziehung gesetzt. Dadurch ist es möglich, die Verkehrssicherheitssituation von Kindern vor Ort mit der in anderen Kreisen und Gemeinden gleicher Größe zu vergleichen und somit einen Hinweis darüber zu erhalten, ob und wie sich die Unfallbelastung vor Ort von anderen unterscheidet.
Kinderverkehrsunfälle sind über die Bundesrepublik Deutschland nicht gleichverteilt, vielmehr gibt es je nach Verkehrsteilnahmeart Regionen mit mehr oder weniger Unfällen. Eine regionale Analyse der Daten ist wichtig, um regionale Unfallschwerpunkte zu erkennen, analysieren und gegebenenfalls entfernen beziehungsweise entschärfen zu können. Insbesondere in Zeiten begrenzter finanzieller Mittel ist eine solche Fokussierung sinnvoll. Ein Überblick der regionalen Verteilung von Unfällen erlaubt zudem eine Abschätzung, über besonders wirksame Maßnahmen. Aber auch für Verbände, die sich mit Verkehrssicherheit beschäftigen, Eltern und Lehrer ist eine Positionsbestimmung, wie sich die Situation vor Ort im Vergleich zu anderen Gebieten darstellt, zur Orientierung wichtig. Hierdurch wird auch diesem Personenkreis eine Argumentationshilfe für die Einforderung entsprechender Maßnahmen an die Hand gegeben. In vorliegendem Kinderunfallatlas wurden die Unfalldaten der zwischen 2001 bis 2005 im Straßenverkehr verunglückten Kinder je 1.000 der Altersgruppe für alle 439 Landkreise und kreisfreien Städte berechnet. Zudem erfolgte eine Analyse der Daten von 2003 bis 2005 auf Gemeindeebene. Basierend auf der Einwohnerzahl der Gemeinden in Bezug auf die Anzahl der verunglückten Kinder/1.000 der Altersgruppe wurden 6 Gruppen von Gemeinden gebildet. Die erste Gruppe setzt sich aus den 15 Großstädten der Bundesrepublik zusammen. Die letzte Gruppe umfasst 1.705 Orte unter 10.000 Einwohnern. Die Auswertung zeigt, dass Kinderunfälle in der Bundesrepublik nicht gleichmäßig verteilt sind, vielmehr zeigt die bevölkerungsbezogene Analyse auf Kreisebene ein deutliches Nord-Süd-Gefälle. Dennoch trifft diese Aussage nicht für alle Arten der Verkehrsteilnahme zu. Während Kinder als Fußgänger besonders häufig in Nordrhein-Westfalen und großen Städten der Bundesrepublik verunglücken, sind sie als Radfahrer in den Regionen in Schleswig-Holstein, Niedersachen, Mecklenburg-Vorpommern und Brandenburg besonders gefährdet. Als Mitfahrer in Pkw verunglücken die meisten Kinder in den ländlichen Gebieten Bayerns und den östlichen Regionen der Bundesrepublik. Zusätzlich lässt sich auf Gemeindeebene zeigen, dass das auf die Altersgruppe bezogene Risiko für Fußgänger mit der Größe einer Stadt zunimmt, während Radfahrer in sogenannten Mittelstädten besonders häufig verunglücken. Als Mitfahrer in Pkw tragen Kinder in sehr kleinen Orten unter 10.000 Einwohnern ein deutlich erhöhtes Risiko. Auf der Grundlage dieses Berichtes ist es erstmals möglich die spezifische Verkehrssicherheitssituation von Kindern nicht nur im Vergleich zu anderen Kreisen sondern auch im Vergleich zu anderen Gemeinden gleicher Größe zu analysieren. Abgesehen davon, dass die Verantwortlichen vor Ort erstmals in die Lage versetzt werden, die spezifische Situation einzustufen, lassen sich auf dieser Grundlage Maßnahmen erheblich gezielter und ökonomisch sinnvoller einsetzen. Eine entsprechende Wiederholung der Berechnungen sollte in fünf Jahresabständen erfolgen.
A lot of factors are related to a road traffic accident; particularly human factors such as road use characteristic, driving maneuver characteristic and safety attitude are the major ones. As a random factor is also included, so it is necessary to minimize the contribution of a random factor to identify human factors related to a road traffic accident. There are several standpoints for traffic accident analysis, such as vehicle-based, location-based and driver-based. And it is effective to analyze driver-based traffic accident data for discussion on the relation between human factors and accidents. An integrated traffic accident database system was developed for analysis considering driver- accident and violation records by ITARD, and several studies were carried out for the evaluation. Useful data for discussion on the relation between types of collision and traffic violations, and the effect of accident experience to the following accident were obtained.
This report gives an overview of pedestrian accidents on Japanese roads. Database used for the analysis is national traffic accident data based on police reports. Relevant measures and background information ranging from vehicle safety, engineering and education are briefly reviewed, and area for further improvement is discussed.rn
The National Highways Development Project in India is aimed at upgrading over 12,000 km of national highways from 2-lane undivided roads to 4-lane divided roads. With nearly 40% of fatal crashes being reported on national highways, the effect of this project on road safety needs to be assessed. Researchers carried out on-site crash investigations and in-depth crash data collection for a period of 45 to 60 days on four 2-lane undivided highways and a 4-lane divided highway. Based on 76 crashes examined, researchers found a shift of crash pattern from head-on collisions on undivided 2- lane highways to front-rear collisions on divided 4-lane highways. This paper presents the methodology, analysis of crashes examined, and the critical safety problems identified for greater consideration in future highway development projects. This paper also highlights the need and significance of in-depth crash investigations to understand local traffic conditions and problems in India.
Electronic Stability Program (ESP) aims to prevent the lateral instability of a vehicle. Linked to the braking and powertrain systems, it prevents the car from running wide on a corner or the rear from sliding out. It also helps the driver control his trajectory, without replacing him, in the case of loss of control where the driver is performing an emergency manoeuvrer (confused and exaggerated steering wheel actions). A new ESP function optimizes ESP action in curves with hard under steering (situations in which the front wheels lose grip and the vehicle slides towards the outside of the curve). A complementary feature prevents the wheels from spinning when pulling away and accelerating. The name given to the ESP system varies according to the vehicle manufacturer, but other terms include: active stability control (ASC), automotive stability management system (ASMS), dynamic stability control (DSC), vehicle dynamic control (VDC), vehicle stability control (VSC) or electronic stability Control (ESC). This paper proposes an evaluation of the effectiveness of ESP in terms of reduction of injur accidents in France. The method consists of 3 steps: - The identification, in the French National injury accident census (Gendarmerie Nationale only), of accident-involved cars for which the determination of whether or not the car was fitted with ESP is possible. A sample of 1 356 cars involved in injury accidents occurred in 2000, 2001, 2002 and 2003 was then selected. But we had to restrict the analysis to only 588 Renault Lagunas. - The identification of accident situations for which we can determine whether or not ESP is pertinent (for example ESP is pertinent for loss of control accidents whilst it is not for cars pulling out of a junction). - The calculation, via a logistic regression, of the relative risk of being involved in an ESPpertinent accident for ESP equipped cars versus unequipped cars, divided by the relative risk of being involved in a non ESP-pertinent accident for ESP equipped cars versus unequipped cars. This relative risk is assumed to be the best estimator of ESP effectiveness. The arguments for such a method, effectiveness indicator and implicit hypothesis are presented and discussed in the paper. Based on a few assumptions, ESP is proved to be highly effective. Currently, the relative risk of being involved in an ESP pertinent accident for ESP-equipped cars is lower (-44%, although not statistically significant)rnthan for other cars.rn
Today, Euro NCAP is a well established rating system for passive car safety. The significance of the ratings must however be evaluated by comparison with national accident data. For this purpose accidents with involvement of two passenger cars have been taken from the German National Road Accident Register (record years 1998 to 2004) to evaluate the results of the NCAP frontal impact test configuration. Injury data from both drivers involved in frontal car to car collisions have been sampled and have been compared, using a "Bradley Terry Model" which is well established in the area of paired comparisons. Confounders " like mass ratio of the cars involved, gender of the driver, etc. " have been accounted for in the statistical model. Applying the Bradley Terry Model to the national accident data the safety ranking from Euro NCAP has been validated (safety level: 1star <2 star <3 star <4 star). Significant safety differences are found between cars of the 1 and 2 star category as compared to cars of the 3 and 4 star category. The impact of the mass ratio was highly significant and most influential. Changing the mass ratio by an amount of 10% will raise the chance for the driver of the heavier car to get better off by about 18%. The impact of driver gender was again highly significant, showing a nearly 2 times lower injury risk for male drivers. With regard to the NCAP rating drivers of a high rated car are more than 2 times more probable (70% chance) to get off less injured in a frontal collision as compared to the driver of a low rated car.
In Germany, in-depth accident investigations are carried out in the Hannover area since 1973. In 1999 a second region was added with surveys in Dresden and the surrounding area. Internationally, the acronym GIDAS (German In-Depth Accident Study) is commonly used for these surveys. Compared to many other countries, the sample sizes of the GIDAS surveys are much larger. The goal is to collect 1.000 accidents involving personal injuries per year and region. Data collection takes place by using a sampling procedure, which can be interpreted as a two-stage process with time intervals as primary units and accidents as secondary units. An important question is, to what extend these samples are representative for the target population from which they are drawn. Analyses show, for example, that accidents with persons killed or seriously injured are overrepresented in the samples compared to accidents with slightly injured persons. This means, that these data are subject to biases due to uncontrolled variation of sample inclusion probability. Therefore, appropriate weighting and expansion methods have to be applied in order to adjust or correct for these biases. The contribution describes the statistical and methodological principles underlying the GIDAS surveys with respect to sampling procedure, data collection and expansion. In addition, some suggestions regarding potential improvements of study design are made from a methodological point of view.
Pedestrian accidents are one of the major concerns related with road accidents around the world. Portugal has one of the highest rates of pedestrian fatalities in Europe. In this paper an overview conditions were the pedestrian accidents occurred in Portugal is presented. In the last years, a project related with the pedestrian accidents has run in Portugal for the period 2004-2006 where 603 people died, 2097 have been severely injured and about 17000 slightly injured. Within this project all the pedestrian accidents in this period have been analysed providing global information about a wide range of aspects, since location, driver and pedestrian characteristics, weather and road conditions, among others. In addition, 50 in-depth accidents have been investigated and the data collected according the Pendant methodology. For this in-depth methodology detailed information about the accident has been collected, including injuries, vehicle damage, road conditions and road user- behaviour and actions. An accident reconstruction has been carried for each case including the determination of the speeds and driver actions, and the analysis of the contributing factors for the accident. Depending of the accident complexity, different methodologies have been used to analyse these accident, from the classical analytical equations such as Simms and Woods, to the use of detailed computational pedestrian models as those included in the commercial software- PC-Crash-® or Madymo-®. Also one of the goals of our investigation is the development of multibody models and methodologies for the reconstruction of pedestrian accidents. Some of these tools integrated in the commercial software Cosmos Motion-® are presented. The advantages of the different approaches are compared and discussed for some of the accidents investigated. With these tools the impact speed can be determined from the projection distance with analytical tools or PC-Crash-®, but more complex tools should be used to determine speed from the injuries, what is especially important for fatal accidents. The influence of the vehicle geometry and stiffness characteristics is another aspect analysed, where the influence of the vehicle stiffness has been determined using a combined multibody-finite elements approach within the software Madymo-®.
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.