81 Unfallstatistik
Filtern
Erscheinungsjahr
Dokumenttyp
- Konferenzveröffentlichung (86)
- Buch (Monographie) (13)
- Wissenschaftlicher Artikel (3)
- Bericht (1)
- Arbeitspapier (1)
Schlagworte
- Conference (82)
- Konferenz (82)
- Accident (71)
- Unfall (70)
- Statistics (44)
- Statistik (44)
- Germany (42)
- Deutschland (41)
- Injury (36)
- Fatality (35)
Institut
- Sonstige (104) (entfernen)
Recent findings from real-world accident data have shown that fatality risks for pedestrians are substantially lower than generally reported in the traffic safety literature. One of the keys to this insight has been the large and random sample of car-to-pedestrian crashes available in the German In-Depth Accident Study (GIDAS). Another key factor has been the proper use of weight factors in order to adjust for outcome-based sampling bias in the accident data. However, a third factor, a priori of unknown importance, has not yet been properly analysed. This is the influence of errors in impact speed estimation. In this study, we derived a statistical model of the impact speed errors for pedestrian accidents present in the GIDAS database. The error model was then applied to investigate the effect of the estimation error on the pedestrian fatality risk as a function of car impact speed. To this end, we applied a method known as the SIMulation-EXtrapolation (SIMEX) method. It was found that the risk curve is fairly tolerant to some amount of random measurement error, but that it does become flattened. It is therefore important that the accident investigations and reconstructions are of high quality to assure that systematic errors are minimised and that the random errors are under control.
Auf der Grundlage von 951 Unfallprotokollen aus den Jahren 1997 bis 2005, bei denen Bedienstete, Fahrzeuge oder Geräte der Straßenbauverwaltungen in Arbeitsstellen kürzerer Dauer (AkD) auf Autobahnen zu Schaden kamen, wurden relevante Unfallmuster herausgearbeitet. So konnte im Wesentlichen der Lkw als Hauptunfallverursacher mit einem Anteil von knapp 60 % am Gesamtunfallaufkommen identifiziert werden. Hauptsächlich sind AkD bei Sperrung des rechten Fahrstreifens oder des Standstreifens betroffen. Ein "Anprall von hinten" auf dem rechten Fahrstreifen und ein "seitliches Streifen" auf dem Standstreifen von zum Beispiel Absperrtafeln oder Fahrzeugen treten mit etwa gleichen Anteilen am häufigsten auf. Ferner zeigen die Auswertungen, dass 2/3 aller Unfälle bei stationären AkD aufgetreten sind. Besonders auffällig ist, dass fast 80 % der verunglückten Mitarbeiter in ihrem Fahrzeug zu beklagen sind, nur ca. 20 % der Verunglückten waren beim Unfall außerhalb der Fahrzeuge. Beim Ein- und Aussteigen sind nur 4 Unfälle dokumentiert, diese allerdings mit je zwei Getöteten und Verletzten. Hinsichtlich der relevanten Unfallmuster wurden Maßnahmen abgeleitet, die zum einen die Unfallvermeidung und zum anderen die Unfallfolgenminderung zum Ziel haben. Im Rahmen einer Abschätzung wurden diese Maßnahmen bewertet und das erwartete Reduzierungspotenzial, einerseits bezogen auf die Anzahl vermeidbarer Unfälle und andererseits auf die Vermeidung von Verletzten, abgeleitet. Die Maßnahmen zur Erhöhung der Sicherheit des Betriebsdienstpersonals in AkD wurden hinsichtlich ihrer Wirkungsweise (optisch, akustisch, haptisch) auf den Verkehrsteilnehmer bewertet. Aufgrund der haptischen Wirkungsweise auf die Verkehrsteilnehmer beim Überfahren von Warnschwellen könnte bei stationären AkD ein relativ großes Reduzierungspotenzial zu erreichen sein. Gleiches gilt auch beim Einsatz des Unfall-Vorwarn-Systems (UVS). Das größte Potenzial zur Vermeidung von Unfällen stellt die aktive Fahrzeugsicherheit bei den unfallverursachenden Verkehrsteilnehmern dar. Würden Lkw, die als Hauptunfallverursacher in Relation zu ihrer Fahrzeuganzahl deutlich überrepräsentiert sind, mit radarbasierten Fahrgeschwindigkeitsreglern und Spurassistenzsystemen ausgestattet, könnte mit relativ geringem Aufwand ein hohes Maß an Sicherheit erzielt werden. Nutznießer einer solchen Pflichtausstattung wären darüber hinaus natürlich auch alle anderen Verkehrsteilnehmer, die bei Auffahrunfällen etc. davon profitieren würden. Auf die Installation von aktiven Sicherheitssystemen in Fahrzeuge kann nur durch entsprechende Vorgaben des Gesetzgebers Einfluss genommen werden. Empfehlenswert erscheint außerdem der Einsatz von Unfalldatenschreibern (UDS) inklusive der Dokumentation des Fahrerverhaltens wie zum Beispiel Festhalten des Lenkrades, um den Unfallhergang im Nachhinein rekonstruieren zu können. Insgesamt bieten passive Schutzsysteme in den Betriebsdienstfahrzeugen wegen der hohen Anteile von Verunglückten in den Fahrzeugen das größte Potenzial zur Vermeidung von Verletzungen. So könnten bereits durch die generelle Empfehlung zum Anlegen des Sicherheitsgurtes, auch bei der Absicherung von Arbeitsstellen oder Kurzfahrten, rund 30 % der zu erwartenden verletzten Fahrzeuginsassen vermieden werden. Zur Unterstreichung dieser Maßnahme sollte in entsprechenden Sicherheitsunterweisungen auf die Unfallgefahr hingewiesen werden. Diese sollten nicht nur das jederzeit gegenwärtige Gefährdungsrisiko ins Bewusstsein rufen, sondern auch die Eigensicherung, wie zum Beispiel erhöhte Aufmerksamkeit beim Ein- und Aussteigen, das Anlegen der Sicherheitsgurte, die korrekte Sitzposition sowie die persönliche Kopfstützeneinstellung betreffen. Ein sehr großes Vermeidungspotenzial insbesondere von HWS-Verletzungen bieten zum Beispiel Nackenairbags, aber auch Kopfstützensysteme in Verbindung mit Gurtstraffern mit zu erwartenden Reduzierungen von über 80 % der Verunglückten in den Fahrzeugen.
While the number of fatal accidents is diminishing every year, there is still a need of improvement and action to prevent these deaths. Basis for this purpose has to be an analysis about the factors influencing the car crash mortality. There are various studies describing the univariate influence of several factors, but crash scenarios are too complex to be described by a single variable. The multivariate analysis respects the interference of the variables and gets so to more detailed and representative results. This multivariate analysis is based on about 2,600 cases (the data have been collected by the accident research units Hannover and Dresden (during the years 1999-2003). This paper presents a multivariate model (containing ten different variables) which detects 93% of these cases properly. This means it detects the cases as truly survived and truly death.
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.
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.
Who doesn't wear seat belts?
(2009)
Using real world accident data, seat belts were estimated to be 61% effective at preventing fatalities, and 32% effective at preventing serious injuries. They were most effective for drivers with an airbag. Seat belts were estimated as having prevented 57,000 fatalities and 213,000 seriously injured casualties in the UK since 1983. Seat belt legislation was estimated to have prevented 31,000 fatalities and 118,000 seriously injured casualties. A future increase in effective seat belt wearing rate (which takes into account seating position) in the UK from 92.5% to 93% may prevent casualties valued at a societal cost of over -£18 million per year. To target a seat belt campaign, the question "who doesn"t wear seat belts?" must be answered. Seat belt wearing rates and the number of unbelted casualties were analysed. It was primarily young adult males who didn"t wear seat belts, and they made up the majority of unbelted fatalities and seriously injured casualties.
It is very important for Automotive OEMs to get feedback on their product performance on real roads for continuous improvement. Every OEM has a way of collecting this feedback for various performance parameters. Systematic accident research is a way to generate the information related to safety performance of the vehicle. In India, while there is a large amount of data related to the accidents, it is found this data is aimed at understanding the gross statistics and not directly useful for technology development. This paper explains learnings from a pilot study carried out in collaboration with an Emergency Medical Services provider on one of the expressways (motorways). This pilot study has resulted in development of working model that could now be scaled up at for wider application. The paper also presents some of the important observations based on the data collected.
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.
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.
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-®.