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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)
This work aimed for getting the main features of accidents involving Light Goods Vehicles (LGV), using accident cases collected in the In-Depth Accidents Studies built up at IFSTTAR-LMA (France), in order to analyse thoroughly the proceedings of these accidents and identify the major factors for the different types of LGV. This work was based on the analysis of 88 accident cases involving LGV with a Maximum Authorised Mass inferior to 3.5 tonnes. In particular kinematics reconstruction of these accidents were performed to calculate the average impact speeds and to better understand the compatibility problems between LGV and antagonist vehicles. Specific features have been reviewed to pick up problems concerning safety, maintenance, loading, LGV design: general conditions of the accident, vehicle features, and passive safety. The main results of this study are presented in this paper.
While it is important to track trends in the number of road accidents in different countries using national statistics, there is a need for data with more detailed information, so called in-depth accident data. For this reason, several accident data projects emerged worldwide in recent years. However, also different data standards were established and so comparative analysis of international in-depth data has been very hard to conduct, so far. This is why the project iGLAD (Initiative for the Global Harmonization of Accident Data) was established and created the prerequisites for building up a standardized dataset out of the common denominator of different in-depth accident databases from Europe, USA and Asia. In the first phase, the project received funding from ACEA to compile an initial database. To accomplish this, a suitable data scheme has been defined, a pilot study has been conducted as proof of concept and the recoding of the first common data base has been initiated. Also, to prepare the project for its self-supporting continuation in the next years, a business model has been developed. This paper reports the history and status of the project, the current challenges and the creation of a capable consortium to maintain the data. In mid-2014, the initial database containing 1550 cases from 10 different countries will be completed and a first detailed view on this data will be possible.
Introduction: The method of causation analysis applied under the German accident survey GIDAS, which is based on Accident Causation Analysis System (ACAS) focuses on an on-scene data collection of predominantly directly event-related causation factors which were crucial in the accident emergence as situational resulting events and influences. The paradigm underlying this method refers to the findings of the psychological traffic accident research that most causally relevant features of the system components human, infrastructure and vehicle technology are found directly in the situation shortly before the accident. This justifies the survey method which is conducted directly at the accident (on-scene), shortly after the accident occurrence (in-time) with the detection of human-related causes (in-depth). Human aspects of the situation analysis that interact and influence the risk situations shortly before the collision are reported as errors, lapses, mistakes and failures in ACAS in specific categories and subcategories. Thus methodically ACAS is designed primarily for the collection of accident features on the level of operational action, which certainly leads to valid findings and behavioral causes of accidents. The enhancement by means of Moderating Conditions concerns the pre-crash phase in different levels: strategical, tactical and operational.
Road accidents are typically analyzed to address influences of human, vehicle, and environmental (primarily infrastructure) factors. A new methodology, based on a "Venn diagram" analysis, gives a broader perspective on the probable factors, and combinations of factors, contributing both to the occurrence of a crash and to sustaining injuries in that crash. The methodology was applied to 214 accidents on the Mumbai-Pune expressway. Factors contributing to accidents and injuries were addressed. The major human factors influencing accidents on this roadway were speeding (30%) and falling asleep (29%), while injuries were primarily due to lack of seat belt use (46%). The leading infrastructure factor for injuries was impact with a roadside manmade structure (28%), and the main vehicle factor for injuries was passenger compartment intrusion (73%). This methodology can help identify effective vehicle and infrastructure-related solutions for preventing accidents and mitigating injuries in India.
The project UR:BAN "Cognitive assistance (KA)" aims at developing future assistance systems providing improved performance in complex city traffic. New state-of-the-art panoramic sensor technologies now allow comprehensive monitoring and evaluation of the vehicle environment. In order to improve protection of vulnerable road users such as pedestrians and cyclists, a particular objective of UR:BAN is the evaluation and prediction of their behaviour and actions. The objective of subproject "WER" is development support by providing quantitative estimates of traffic collisions at the very start and predict potential in terms of optimized accident avoidance and reduction of injury severity. For this purpose an integrated computer simulation toolkit is being devised based on real world accidents (GIDAS as well as video documented accidents), allowing the prediction of potential effectiveness and future benefit of assistance systems in this accident scenario. Subsequently, this toolkit may be used for optimizing the design of implemented assistance systems for improved effectiveness.
Ruptures and dissections of the thoracic and abdominal aortic vessel caused by traffic accidents are rare but potentially life-threatening injuries. They can occur by blunt trauma via seat belt or dashboard injury. The study aimed at evaluating the overall mortality, morbidity, neurological disorders, and differences in operative procedures of open repair and stenting. It shows that, with a change and improvement in diagnostic tools and surgical approach, mortality and morbidity of blunt aortic injuries were significantly reduced. Still an immediate life-threatening injury early diagnosis via multiple-slice and scans and surgical repair with minimally invasive stents showed excellent short-time results for selected patients.
This study aimed at prediction of long bone fractures and assessment of lower extremity injury mechanisms in real world passenger car to pedestrian collision. For this purpose, two pedestrian accident cases with detail recorded lower limb injuries were reconstructed via combining MBS (Multi-body system) and FE (Finite element) methods. The code of PC Crash was used to determine the boundary conditions before collision, and then MBS models were used to reproduce the pedestrian kinematics and injuries during crash. Furthermore, a validated lower limb FE model was chosen to conduct reconstruction of injuries and prediction of long bone fracture via physical parameters of von Mises stress and bending moment. The injury outcomes from simulations were compared with hospital recorded injury data and the same long bone fracture patterns and positions can be observed. Moreover, the calculated long bone fracture tolerance corresponded to the outcome from cadaver tests. The result shows that FE model is capable to reproduce the dynamic injury process and is an effective tool to predict the risk of long bone fractures.
India is one of the leading countries reporting highest road accidents & related injuries. TMARG (Tata Motors Accident Research Group) has been recording crashes in association with M/s. Lokamanya Medical Foundation since 2011 with M/s, Amandeep Hospitals since Aug 2013. This study has highlighted some accident types not discussed extensively in literature. Trucks to Truck impacts " Cabin interaction with overhanging loadbody structures and Offset underside impacts for passenger vehicles are seen in significant numbers. The paper discusses these in more detail including severity.
This study aimed at comparing head Wrap Around Distance (WAD) of Vulnerable Road User (VRU) obtained from the German in-depth Accident Database (GIDAS), the China in-depth Accident Database (CIDAS) and the Japanese in-depth Accident Database (ITARDA micro). Cumulative distribution of WAD of pedestrian and cyclist were obtained for each database (AIS2+) showing that WAD of cyclists were larger than the ones of pedestrians. Comparing three regions, the 50%tile WAD of GIDAS was larger than that of both Asian accident databases. Using linear regression that might predict WAD of pedestrians and cyclists from Impact speed and VRU height, WADs were calculated to be 206cm/219cm (Pedestrian/Cyclist) for GIDAS, 170cm/192cm for CIDAS and 211cm/235cm for ITARDA. In addition, this study may be helpful for reconsideration of WAD measurement alignment between accident reconstruction and test procedures.
The declining trend since 1991 in the number of killed people was broken in 2011 when overall 4 009 people died in traffic accidents in Germany. The question arises if there is a stagnating trend of fatalities in Germany in future? By breaking down the accidents with casualties towards a monthly view one can see a decreasing trend of fatalities in the warmer months especially since 2009. When comparing against winter months higher deviations are observed. In December 2011 an increase of 191 traffic deaths were registered (181 in 2010 compared to 372 in 2011). Further analyses of different accident influences were evaluated and their possibility of drastic change from one year to the other was determined. As seen weather- and environmental conditions are one of the major contributing factors and are one of the causes for the increased number of fatalities. To support the underlying assumption a model had been created to calculate the number of traffic deaths on a daily basis approach. As an input, road conditions projected through weather parameters and also different driving behaviors on weekdays or holidays were used. As a result, estimates of daily fatality with up to 75% precision can be achieved out of the 2009, 2010 and 2011 data. Further on it shows that weather and street conditions have a high influence on the overall resulting number of traffic accidents with casualties, and especially to the number of fatalities. Hence it is estimated that approximately 3 300 people were killed in traffic accidents in Germany in 2013 which would be again a reduction of another 13% compared to 2012. Therefore an answer to the question will be that the decreasing trend in traffic fatalities in Germany somehow is not broken when environmental conditions are included in national statistics. Their effects will become more visible in future accident statistics and it is estimated variances of 5% to 8% of the annual number of traffic fatalities in Germany will be seen.