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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 strong prevalence of human error as a crash causation factor in motorcycle accidents calls for countermeasures that help tackling this issue. Advanced rider assistance systems pursue this goal, providing the riders with support and thus contributing to the prevention of crashes. However, the systems can only enhance riding safety if the riders use them. For this reason, acceptance is a decisive aspect to be considered in the development process of such systems. In order to be able to improve behavioural acceptance, the factors that influence the intention to use the system need to be identified. This paper examines the particularities of motorcycle riding and the characteristics of this user group that should be considered when predicting the acceptance of advanced rider assistance systems. Founded on theories predicting behavioural intention, the acceptance of technologies and the acceptance of driver support systems, a model on the acceptance of advanced rider assistance systems is proposed, including the perceived safety when riding without support, the interface design and the social norm as determinants of the usage intention. Since actual usage cannot be measured in the development stage of the systems, the willingness to have the system installed on the own motorcycle and the willingness to pay for the system are analyzed, constituting relevant conditions that allow for actual usage at a later stage. Its validation with the results from user tests on four advanced rider assistance systems allows confirming the social norm and the interface design as powerful predictors of the acceptance of ARAS, while the extent of perceived safety when riding without support did not have any predictive value in the present study.
Immediate user self-evacuation is crucial in case of fire in road tunnels. This study investigated the effects of information with or without additional virtual reality (VR) behavioural training on self-evacuation during a simulated emergency situation in a road tunnel. Forty-three participants were randomly assigned to three groups with accumulating preventive training: The control group only filled in questionnaires, the informed group additionally read an information brochure on tunnel safety, and the VR training group received an additional behavioural training in a VR tunnel scenario. One week later, during the test session, all participants conducted a drive through a real road tunnel in which they were confronted with a collision of two vehicles and intense smoke. The informed and the behaviourally trained participants evacuated themselves more reliably from the tunnel than participants of the control group. Trained participants showed better and faster behavioural responses than informed only participants. Interestingly, the few participants in the control group who reacted adequately to the scenario were all female. A 1 year follow-up online questionnaire showed a decrease of safety knowledge, but still the trained group had somewhat more safety relevant knowledge than the two other groups. Information and especially VR behavioural training both seem promising to foster adequate self-evacuation during crisis situations in tunnels, although long term beneficial behavioural effects have to be demonstrated. Measures aiming to improve users/ behaviour should take individual difference such as gender into account.
Learner drivers are readied for their participation in motorised transport within the framework of specific, internationally-diverse preparation systems. These systems are historically developed and are characterised by country-specific economic, infrastructural, legal and cultural circumstances. With the aid of functionally-distinguishable teaching and learning methods as well as testing methods, a conceptual framework was created whilst drawing upon research-methodological approaches of comparative political science as well as teaching and learning principles that facilitated a description and analysis of the systems for a comparative observation to be performed. The systems for the preparation of learner drivers in 44 countries are illustrated in the report. The descriptions are based upon surveys of experts from various institutions (ministries of transport, driving instructor associations, testing organisations) as well as upon literary and Internet research. Alongside European countries with a traditional formal driver training, \"Graduated Driver Licensing\" systems that are primarily encountered in English-speaking countries were also taken into account when selecting the countries. They are characterised by the guarantee of gaining comprehensive driving experience under reduced risk conditions in the form of supervised driving prior to the start of independent driving as well as protective special rules for learner drivers whilst gaining further driving experience during the initial phase of independent driving. The results enable a detailed insight into the country-specific structure of learner driver preparation with the components of the formal driver training in driving schools, informal teaching and learning methods such as supervised driving, the driving tests that must be successfully completed as well as legal frameworks and quality assurance measures. The functionality of system components and architectures shall be discussed against the backdrop of evaluation findings regarding the effectiveness in terms of safety.
To determine whether the model "Accompanied driving from age 17" (AD17) contributes to improvement of young drivers' road safety, two large random samples of novice drivers drawn from the Central Register of Driving Licences (ZFER) held at the Federal Motor Transport Authority (KBA) were compared in terms of the rates of accident involvement and traffic offences at the start of their solo driving career. The samples comprised former participants in the AD17 model and novice drivers of the same age who had obtained a driving licence in the conventional manner immediately after their 18th birthday. Both analysis groups were contacted by post and asked to complete an online questionnaire. In response, 19,000 drivers reported on their first year of solo driving and on the occurrence of any accidents or traffic offences during this period. The analyses were repeated with two "silent" analysis groups comprising a total of 75,000 drivers, for whom any records of traffic offences were retrieved from the Central Register of Traffic Offenders (VZR), with a distinction being made between offences in connection with an accident and other offences. The AD17 model was introduced in all 16 German federal states between April 2004 and January 2008. By the end of 2009, almost one million novice drivers had participated in the model, and almost three-quarters of the target group - so-called "early beginners" who wished to commence solo driving immediately after reaching the age of 18 years - opted for the AD17 model. The phase of introduction of the model was associated with a temporary increase of around five per cent in the demand for driving licences from persons under 19 years of age. During the first year of solo driving, the rate of accident involvement for AD17 participants was 19 per cent lower and the rate of traffic offences 18 per cent lower than for drivers of the same age who had obtained their driving licence in the conventional manner. After adjustment for confounds (e.g. gender and vehicle availability), a reduction in accidents by 17 per cent and in traffic offences by 15 per cent remained as an effect attributable to the model. A comparison on the basis of the distances driven indicated 22 per cent fewer accidents and 20 per cent fewer traffic offences. The results are statistically significant and apply to both male and female drivers. The findings were confirmed in the replication study based on VZR data, with one exception: For female AD17 drivers, and here only for VZR-recorded offences excluding accidents, no significant reduction was found. On the other hand, the rate for female drivers is already lower than that of their male counterparts by three-quarters. Approximately 1,700 injury accidents were prevented by implementation of the model in 2009.
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.
Real world accident reconstruction with the Total Human Model for Safety (THUMS) in Pam-Crash
(2013)
Further improvement of vehicle safety needs detailed analysis of real world accidents. According to GIDAS (German In-Depth Accident Study) most car to car front accidents occur at mid-crash severity. In this range thoracic injuries already occur. In this study a real world frontal crash with mid-crash severity out of the AARU database was reconstructed. The selected car to car accident was reconstructed by AARU by means of pc-crash software in order to get the initial dynamic accident conditions. These initial conditions were used to reconstruct the complete accident in more detail using FE models for the car structure and the occupants. Occupant simulations were performed with FE HIII-dummy models and the THUMS using Pam-Crash code. An initial THUMS validation was performed in order to verify the model-´s biofidelity by means of table-top test simulations. THUMS bone stiffness values were modified to match the real word occupant age. A comparison between driver and passenger restraint system loading was done, as well as an injury prediction comparison between the HIII-dummy model and THUMS response for both cases. Detailed comparison between the HIII-dummy models and THUMS regarding thoracic loading are discussed.
It is well known that most accidents with pedestrians are caused by the driver not being alert or misinterpreting the situation. For that reason advanced forward looking safety systems have a high potential to improve safety for this group of vulnerable road users. Active pedestrian protection systems combine reduction of impact speed by driver warning and/or autonomous braking with deployment of protective devices shortly before the imminent impact. According to the Euro NCAP roadmap the Autonomous Emergency Braking system tests for Pedestrians Protection will be set in force from 2016 onwards. Various projects and organisations in Europe are developing performance tests and assessment procedures as accompanying measures to the Euro NCAP initiative. To provide synthesised input to Euro NCAP so-called Harmonisation Platforms (HP-) have been established. Their main goal is to foster exchange of information on key subjects, thereby generating a clear overview of similarities and differences on the approaches chosen and, on that basis, recommend on future test procedures. In this paper activities of the Harmonisation Platform 2 on the development of Test Equipment are presented. For the testing targets that mimic humans different sensing technologies are required. A first set of specifications for pedestrian targets and the propulsion systems as collected by Harmonisation Platform 2 are presented together with a first evaluation for a number of available tools.
Past European collaborative research involving government bodies, vehicle manufacturers and test laboratories has resulted in a prototype barrier face called the Advanced European Mobile Deformable Barrier (AE-MDB) for use in a new side impact test procedure . This procedure offers a better representation of the current accident situation and, in particular, the barrier concept is a better reflection of front-end stiffness seen in today- passenger car fleet compared to that of the current legislative barrier face. Based on the preliminary performance corridors of the prototype AE-MDB, a refined AE-MDB specification has been developed. A programme of barrier to load cell wall testing was undertaken to complete and standardise the AE-MDB specification. Barrier faces were supplied by the four leading manufacturers to demonstrate that the specification could be met by all. This paper includes background, specification and proof of compliance.
In general the passive safety capability is much greater in newer versus older cars due to the stiff compartment preventing intrusion in severe collisions. However, the stiffer structure which increases the deceleration can lead to a change in injury patterns. In order to analyse possible injury mechanisms for thoracic and lumbar spine injuries, data from the German Inâ€Depth Accident Study (GIDAS) were used in this study. A twoâ€step approach of statistical and caseâ€byâ€case analysis was applied for this investigation. In total 4,289 collisions were selected involving 8,844 vehicles, 5,765 injured persons and 9,468 coded injuries. Thoracic and lumbar spine injuries such as burst, compression or dislocation fractures as well as soft tissue injuries were found to occur in frontal impacts even without intrusion to the passenger compartment. If a MAIS 2+ injury occurred, in 15% of the cases a thoracic and/or lumbar spine injury is included. Considering AIS 2+ thoracic and lumbar spine, most injuries were fractures and occurred in the lumbar spine area. From the case by case analyses it can be concluded that lumbar spine fractures occur in accidents without the engagement of longitudinals, lateral loading to the occupant and/or very severe accidents with MAIS being much higher than the spine AIS.
The main objective of EC CASPER research project is to reduce fatalities and injuries of children travelling in cars. Accidents involving children were investigated, modelling of human being and tools for dummies were advanced, a survey for the diagnosis of child safety was carried out and demands and applications were analysed. From the many research tasks of the CASPER project, the intention of this paper is to address the following: • In-depth investigation of accidents and accident reconstruction. These will provide important points for the injury risk curve, in order to improve it. Different accident investigation teams collected data from real road accidents, involving child car passengers, in five different European countries. Then, a selection of the most appropriate cases for the injury risk curve and the purposes of the project was made for an in-depth analysis. The final stage of this analysis was to conduct an accident reconstruction to validate the results obtained. The in-depth analysis included on-scene accident investigation, creating virtual simulations of the accident/possible reconstruction, and conducting the reconstruction. In the cases of successful reconstructions, new points were introduced to the injury risk curves. Accident reconstructions of selected cases were carried out in test laboratories as the next step following in-depth road accident investigation. These cases were reconstructed using similar child restraint systems (CRS) and the same type make and model as in the real accidents. Reconstructing real cases has several limitations, such as crash angle, cars" approximation paths and crash speed. However, a few changes and applications on the testing conditions were applied to reduce the limitations and improved the representations of the real accidents. After conducting the reconstructions, a comparison between the deformations of the cars on the real accident and the vehicles from the reconstructions was made. Additionally, a correlation between the data captured from the dummies and the injury data from the real accident was sought. This finalises an in-depth analysis of the accident, which will provide new relevant points to the injury risk curve. The CASPER project conducted a large research programme on child safety. On technical points, a promising research area is the developing injury risk curves as a result of in-depth accident investigations and reconstructions. This abstract was written whilst the project was not yet finished and final results are not yet known, but they will be available by the time of the conference. All the works and findings will not necessarily be integrated in the industrial versions of evaluation tools as the CASPER project is a research program.