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- Englisch (337) (entfernen)
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- Conference (253)
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- injury) (45)
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- Motorcyclist (27)
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- Accident reconstruction (26)
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- Geschwindigkeit (26)
- Impact test (veh) (26)
- Fahrerassistenzsystem (25)
- Speed (25)
- Insasse (23)
- Leistungsfähigkeit (allg) (23)
- Prüfverfahren (23)
- Test method (23)
- Active safety system (22)
- Driver assistance system (22)
- Test (22)
- PKW (21)
- Aktives Sicherheitssystem (20)
- Efficiency (20)
- Method (20)
- Passives Sicherheitssystem (20)
- Vehicle occupant (20)
- Risiko (19)
- Versuch (19)
- Passive safety system (18)
- Pkw (18)
- Verfahren (18)
- Interview (17)
- Benutzung (16)
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- Biomechanik (15)
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- Risikobewertung (15)
- Seitlicher Zusammenstoß (15)
- Motorcycle (14)
- Risk assessment (14)
- Safety belt (14)
- Side impact (14)
- Accident rate (13)
- Dummy (13)
- Leg (human) (13)
- Alte Leute (12)
- Auffahrunfall (12)
- Brustkorb (12)
- Fahrzeugsitz (12)
- Improvement (12)
- Rear end collision (12)
- Rechenmodell (12)
- Unfallhäufigkeit (12)
- Verbesserung (12)
- Überschlagen (12)
- Behaviour (11)
- Database (11)
- Development (11)
- Entwicklung (11)
- Mathematical model (11)
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- Schutzhelm (11)
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- Verhalten (11)
- Airbag (10)
- Berechnung (10)
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- Deformation (10)
- Fehler (10)
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- Krankenhaus (10)
- Menschlicher Faktor (10)
- Messung (10)
- Overturning (veh) (10)
- Thorax (10)
- Age (9)
- Alter (9)
- Bein (menschl) (9)
- Bremsung (9)
- Calculation (9)
- Error (9)
- Fahranfänger (9)
- Front (9)
- Hospital (9)
- Impact test (9)
- Japan (9)
- Prognose (9)
- Recently qualified driver (9)
- USA (9)
- Verformung (9)
- Wirbelsäule (9)
- Air bag (restraint system) (8)
- Braking (8)
- Digital model (8)
- Erste Hilfe (8)
- Lorry (8)
- Numerisches Modell (8)
- Prevention (8)
- Antikollisionssystem (7)
- Austria (7)
- Cervical vertebrae (7)
- Fracture (bone) (7)
- Halswirbel (7)
- Impact study (7)
- Interior (veh) (7)
- Knee (human) (7)
- Knochenbruch (7)
- Modification (7)
- Spinal column (7)
- Standardisierung (7)
- Vereinigtes Königreich (7)
- Veränderung (7)
- Österreich (7)
- Adolescent (6)
- China (6)
- Collision avoidance system (6)
- Compatibility (6)
- Cost benefit analysis (6)
- Driver training (6)
- EU (6)
- Fahrausbildung (6)
- Fahrzeuginnenraum (6)
- First aid (6)
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- Knotenpunkt (6)
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- Research report (6)
- Software (6)
- Standardization (6)
- Transport infrastructure (6)
- Vehicle regulations (6)
- Verminderung (6)
- Vorn (6)
- Wirksamkeitsuntersuchung (6)
- Wirtschaftlichkeitsrechnung (6)
- Analyse (Math) (5)
- Angle (5)
- Autobahn (5)
- Correlation (math, stat) (5)
- Decrease (5)
- Deformable barrier (impact test) (5)
- Delivery vehicle (5)
- Eins (5)
- Electronic stability program (5)
- Fahrstabilität (5)
- Forschungsarbeit (5)
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- Impact sled (5)
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- One (5)
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- Technologie (5)
- Technology (5)
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- Verkehrsinfrastruktur (5)
- Winkel (5)
- Abdomen (4)
- Aufprallschlitten (4)
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- Bremse (4)
- Classification (4)
- Coefficient of friction (4)
- Collision test (veh) (4)
- Damage (4)
- Deformierbare Barriere (Anpralltest) (4)
- Design (overall design) (4)
- Detection (4)
- Distraction (4)
- Driver information (4)
- Driving (veh) (4)
- Drunkenness (4)
- Dynamics (4)
- Dynamik (4)
- Einstellung (psychol) (4)
- Elektronisches Stabilitätsprogramm (4)
- Erziehung (4)
- Estimation (4)
- Fahrdatenschreiber (4)
- Fahrgeschicklichkeit (4)
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- Finite element method (4)
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- Motorway (4)
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- Occupant (veh) (4)
- Probability (4)
- Regression analysis (4)
- Regressionsanalyse (4)
- Reibungsbeiwert (4)
- Reproducibility (4)
- Reproduzierbarkeit (4)
- Sachschaden (4)
- Schutzeinrichtung (4)
- Schweden (4)
- Seite (4)
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- Sichtbarkeit (4)
- Straßenentwurf (4)
- Surface texture (4)
- Technische Vorschriften (Kraftfahrzeug) (4)
- Trunkenheit (4)
- Unfallfolgemaßnahme (4)
- United Kingdom (4)
- Unterleib (4)
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- Sichtbarkeit (4)
- Wahrscheinlichkeit (4)
- Woman (4)
- Ablenkung (psychol) (3)
- Anti locking device (3)
- Attitude (psychol) (3)
- Ausrüstung (3)
- Automatic (3)
- Autonomes Fahren (3)
- Autonomous driving (3)
- Befreiung (Bergung) (3)
- Bein (3)
- Bicycle (3)
- Blickfeld (3)
- Brake (3)
- Bus (3)
- Camera (3)
- Coach (3)
- Crash test (3)
- Czech Republic (3)
- Decision process (3)
- Detektion (3)
- Digitale Bildverarbeitung (3)
- Durability (3)
- Education (3)
- Effectiveness (3)
- Electric vehicle (3)
- Elektrofahrzeug (3)
- Entscheidungsprozess (3)
- Equipment (3)
- Event data recorder (road vehicle) (3)
- Extrication (3)
- Fahrrad (3)
- Field of vision (3)
- Gefahrenabwehr (3)
- Griffigkeit (3)
- Information documentation (3)
- Kamera (3)
- Kleidung (3)
- Korea (Süd) (Demokratische Republik) (3)
- Lieferfahrzeug (3)
- Lkw (3)
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- Mann (3)
- Medizinische Untersuchung (3)
- Methode der finiten Elemente (3)
- Norm (tech) (3)
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- Passenger (3)
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- Spain (3)
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- Specification (standard) (3)
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- Abbiegen (2)
- Abkommen von der Fahrbahn (Unfall) (2)
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- Begleitetes Fahren (2)
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- Compliance (specif) (2)
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- Edge (2)
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- Ergonomics (2)
- Ergonomie (2)
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- Eu (2)
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- Experience (human) (2)
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- Expertensystem (2)
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- Fahrsimulator (2)
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- Führerschein (2)
- Geländefahrzeug (2)
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- Langfristig (2)
- Learning (2)
- Long term (2)
- Luftverunreinigung (2)
- Medical examination (2)
- Messgerät (2)
- Methode der finite Elemente (2)
- Mobile phone (2)
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- Model (not math) (2)
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- Motorisierungsgrad (2)
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- Theorie (2)
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- (menschl) (1)
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- Active safety (1)
- Active safety system; Automatic; Brake; Car; Collision avoidance system; Conference; Driver assistance system; Germany; Impact test (veh); Rear end collision; Severity (accid (1)
- Activity report (1)
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- Conference; Germany; Injury; Medical examination; Spinal column; X ray (1)
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Institut
- Sonstige (337) (entfernen)
The share of high-tensile steel in car bodies has increased over the last years. While occupant safety has generally benefited from this measure, there is a potential risk that, as a result, rescue time may increase considerably. In more than 60% of all car occupant fatalities a technical rescue has been necessary. These are in particular those cases where occupants die immediately at the accident scene. Therefore, in these cases "rescue time" is a very sensitive parameter. In addition to the general analysis of the need of technical rescue and the actual rescue time depending on model years, the injury pattern of occupants requiring technical rescue will be analysed to provide advice for rescue teams. Furthermore, a detailed analysis of rescue measures for the most popular car models depending on the safety cell design is given.
This study that was funded by the Research Association for Automotive Technology (FAT) develops a method for the evaluation of the placement of tanks or batteries by using the deformation frequencies in real-world accidents. Therefore, the deformations of more than 20.000 passenger cars in the GIDAS database are analysed. For each vehicle a contour of deformation is calculated and the deformed areas of the vehicles are transferred in a rangy matrix of deformation. Thereby, the vehicle is divided into more than 190.000 cells. Afterwards, all single matrices of deformation are summarized for each cell which allows representative analyses of the deformation frequencies of accidents with passenger cars in Germany. On the basis of these deformation frequencies it is possible to determine least deformed areas of all passenger cars. Furthermore, intended placements of tanks or batteries can be estimated in an early stage of development. Therefore, all vehicles with deformations in the intended tank areas can be analysed individually. Considering numerous parameters out of the GIDAS database (e.g. collision speed, kind of accident, overlap, collision partner etc.) the occurring forces can be calculated or the deformation frequency can be estimated. Furthermore, it is possible to consider the influence of primary and secondary safety systems on the deformation behaviour. The analysis of "worst case accident events" is an additional application of the calculated matrix of deformation frequency.
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.
The paper presents a methodology for the benefit estimation of several secondary safety systems for pedestrians, using the exceptional data depth of GIDAS. A total of 667 frontal pedestrian accidents up to 40kph and more than 500 AIS2+ injuries have been considered. In addition to the severity, affected body region, exact impact point on the vehicle, and the causing part of every injury, the related Euro NCAP test zone was determined. One results of the study is a detailed impact distribution for AIS2+ injuries across the vehicle front. It can be stated, how often a test zone or vehicle part is hit by pedestrians in frontal accidents and which role the ground impact plays. Basing on that, different secondary safety measures can be evaluated by an injury shift method concerning their real world effectiveness. As an example, measures concerning the Euro NCAP pedestrian rating tests have been evaluated. It was analysed which Euro NCAP test zones are the most effective ones. In addition, real test results have been evaluated. Using the presented methodology, other secondary safety like the active bonnet (pop-up bonnet) or a pedestrian airbag measures can be evaluated.
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.
Looking at the total of sum of fatal car accidents the number of single-vehicle accidents and particularly run-offroad (ROR) accidents are most frequent. In Austria on the Autobahn ROR accidents amounts to almost 45% of all fatal accidents, i.e. nearly every second fatal accident is caused by ROR accidents and interaction with infrastructure. Approximately 43 people were killed on Autobahns in ROR accidents with passenger cars. One possibility of protection against impacts with infrastructure is the use of guardrails. However, the initial element identified as a turned down terminal could become a dangerous impact object. These turned down terminals may lead a vehicle to roll over or the car "takes-off" when impacting the turned down guardrail. In many cases it is reported that the vehicle is jumping into road side objects such as traffic sign poles or overpasses. On average, nine people are killed in such accidents every year in Austria.
Small overlap frontal crashes are defined by a damage pattern with most of the vehicle deformation concentrated outboard of the main longitudinal structures. These crashes are prominent among frontal crashes resulting in serious and fatal injuries, even among vehicles that perform well in regulatory and consumer information crash tests. One of the critical aspects of understanding these crashes is knowing the crash speeds that cause the types of damage associated with serious injuries. Laboratory crash tests were conducted using 12 vehicles in three small overlap test conditions: pole, vehicle-to-vehicle collinear, and vehicle-to-vehicle oblique (15-degree striking angle). Field reconstruction techniques were used to estimate the delta V for each vehicle, and these results were compared with actual delta V values based on vehicle accelerometer data. Estimated delta Vs were 50% lower than actual values. Velocity change estimates for small overlap frontal crashes in databases such as NASS-CDS significantly underestimate actual values.
Bone fracture patterns could be crucial in reconstructing the nature of loading, especially in the lower limb and upper limb kinematics in vehicle-pedestrian crashes. In addition, use of FE bone models can be a handy tool to predict vehicle impact velocity and the impact direction. The point of fracture initiation in bone loading has been predicted quite accurately earlier. A methodology that predicts bone crack initiation and its propagation pattern for the six known loading directions using a single material and failure model is presented.
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.
The accident research of Hanover and (from 1999 on) Dresden registered 736 leg injuries (AIS ≥ 2) from 1983 to March 2007. 174 of these injuries (23.6 %) were fractures or dislocations of foot and ankle. 149 feet of 141 front seat car occupants in 140 cars were affected. Of these 117 were drivers, 24 were front seat passengers. The mean age of occupants was 38.5 -± 16.8 years. Ankle fractures were the most frequent injury (n = 82; 80 malleolar fractures, 2 pilon fractures). 34 fractures and dislocations affected the hindfoot (5 talus and 26 calcaneal fractures, 2 subtalar dislocations and 1 subtotal amputation) , 16 to midfoot (4 navicular fractures, 5 cuboid fractures, 3 fractures of cuneiformia, 2 dislocations of chopart joint, 1 subtotal amputation, and one severe decollement) and 39 the forefoot (metatarsal fractures). Open fractures were seldom seen (2 malleolar fractures, 1 metatarsal fracture). Both feet were injured in 10 cases. 33 occupants (23.4 %) were polytaumatic had a polytrauma, 17 of them died. 81 percent of the occupants were belted. The cars were divided in pre EuroNCAP (year of manufacture 1997 and older) and post EuroNCAP cars (year of manufacture 1998 and newer). Most of the foot injuries were seen in pre EuroNCAP cars. Most of the occupants sat in compact cars (40 drivers and 9 front seat passengers) and large family cars (27 drivers and 7 co-drivers). 49 of 140 accidents occurred on country roads, 26 on main roads and 13 on motorways. The crash direction was mostly frontal. Generally were found no differences of delta v- and EES-level between the injured foot regions, but divided into pre- and post-EuroNCAP cars there was a tendency to higher delta v- and EES-levels in newer cars. The frequency of foot injuries increased linearly with increasing delta v-level; but above delta v-level of 55 km/h the linear increase only was seen in pre-EuroNCAP cars, post-EuroNCAP cars showed no further increase of injuries. The footwell intrusion showed no difference between the injured foot regions but pre-EuroNCAP cars had a tendency to higher footwell intrusion. There were no differences in footwell intrusion between the car types. Only 29 of 174 fractures or dislocations of foot were seen in post-EuroNCAP cars, the predominate number of these injuries (n = 145) were noticed in pre-EuroNCAP cars. A lower probability of long-term impairment was found in post-EuroNCAP cars for equal delta v levels, using the AIS2008 associated Functional Capacity Index (FCI) for the foot region.