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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 main focus of the benefit estimation of advanced safety systems with a warning interface by simulation is on the driver. The driver is the only link between the algorithm of the safety system and the vehicle, which makes the setup of a driver model for such simulations very important. This paper describes an approach for the use of a statistical driver model in simulation. It also gives an outlook on further work on this topic. The build-up process of the model suffices with a distribution of reaction times and a distribution of reaction intensities. Both were combined in different scenarios for every driver. Each scenario has then a specific probability to occur. To use the statistical driver model, every accident scene has to be simulated with each driver scenario (combinations of reaction times and intensities). The results of the simulations are then combined regarding the probabilities to occur, which leads to an overall estimated benefit of the specific system. The model works with one or more equipped participants and delivers a range for the benefit of advanced safety systems with warning interfaces.
The study aimed at estimating the impact of pedelecs (with an assumed higher speed than bicycles) on the traffic accident severity in Germany for different penetration rates. The analysis shows that in many real situations (68%) an electrical support of bicycles has no influence on the sequence of accident events. Taking into account a number of unreported "single bicycle accidents", the adoption of similar traffic behavior and similar age distribution, the authors determined a shift of 400 former slightly to seriously injured cyclists in Germany per year. Overall this would be an increase of approximately 2.3% in case of 10% of pedelec penetration with the pessimistic assumption of 10 km/h speed increase although first natural driving studies predict a much lower average speed increase of pedelecs. The hypothesis verbalized in the initial question whether a higher distribution of pedelecs will result in more severe accidents in Germany is not verified. The study shows that electrical support didn"t result in higher collision speed in general. In many accident situations, the speed of pedelecs has only a minor influence on the accident severity. Further research focusing on a possible change of driver behavior especially in new target groups (elderly people) will be needed.
The evaluation of the expected benefit of active safety systems or even ideas of future systems is challenging because this has to be done prospectively. Beside acceptance, the predicted real-world benefit of active safety systems is one of the most important and interesting measures. Therefore, appropriate methods should be used that meet the requirements concerning representativeness, robustness and accuracy. The paper presents the development of a methodology for the assessment of current and future vehicle safety systems. The variety of systems requires several tools and methods and thus, a common tool box was created. This toolbox consists of different levels, regarding different aspects like data sources, scenarios, representativeness, measures like pre-crash-simulations, automated crash computation, single-case-analyses or driving simulator studies. Finally, the benefit of the system(s) is calculated, e.g. by using injury risk functions; giving the number of avoided/mitigated accidents, the reduction of injured or killed persons or the decrease of economic costs.
In North America, frontal crash tests in both the regulatory environment and consumer-based safety rating schemes have historically been based on full-width and moderate-overlap (40%) vehicle to barrier impacts. The combination of improved seat-belt technologies, notably belt tensioning and load limiting systems, together with advanced airbags, has proven very effective in providing occupant protection in these crash modes. Recently, however, concern has been raised over the contribution of narrower frontal impacts, involving primarily the vehicle corners, to the incidence of fatality and serious injury as a result of the potential for increased occupant compartment intrusion and performance limitations of current restraint systems. Drawing on data documented in the National Automotive Sampling System (NASS)/ Crashworthiness Data System (CDS) for calendar years 1999 to 2012, the present study examines the characteristics of existing and proposed corner crash test configurations, and the nature of real-world collisions that approximate the test environments. In this analysis, particular emphasis is placed on crash pulse information extracted from vehicle-based event data recorders (EDR's).
Accident simulation and reconstruction for enhancing pedestrian safety: issues and challenges
(2015)
The enhancement of pedestrian safety represents a major challenge in traffic accidents. This study allows a better understanding of the issues in pedestrian protection. It highlights the potential of in-depth studies in identifying relevant crash parameters interfering in the pedestrian safety. A computational simulation tool was developed to reconstruct pedestrian real-world crashes. A sample of 100 in-depth accident cases was reconstructed from two sources: 40 crashes provided by IFSTTAR-LMA and 60 crashes from CASR. To exemplify the methodology, two accident cases from each database were illustrated. A description of the sample of crashes was presented including the travel and impact speed of the vehicle, the driver reaction, the pedestrian walking speed, the scene configuration with the eventual obstacles, etc. This detailed description is pointing to the major factors affecting the limits of pedestrian safety systems.
Cycling supports the independence and health of the aging population. However, elderly cyclists have an increased injury risk. The majority of injured cyclists is victim of a single-sided accident, an accident in which there is no other party involved. The aim of the project "Safe and Aware on the bicycle" is to develop guidelines for an advisory system that is useful in preventing single-sided accidents. This system is able to support the elderly cyclist; enabling the cyclist to timely adapt his cycling behaviour and improve cycling safety and comfort. For the development of such advisory system the causes of singles accidents and the wishes of the elderly cyclist must be known. First step to obtain this insight was a literature survey and an GIDAS research. Unfortunately accidentology research with GIDAS did not give the full understanding of the pre-crash situations and (especially the behaviour related) factors leading to the accident. The second step was consultation of elderly cyclist through a questionnaire (n=800), in-depth interviews (n=12) and focus group sessions (n=15). This offered complementary information and a much better understanding of the behavioural aspects. Results concern the behaviour in traffic and identify specific physical (i.e. problems looking backwards over the shoulder) and mental issues. Furthermore, the needs and wishes for support in specific cycling situations were identified. In conclusion; The GIDAS results together with the information obtained contacting the elderly cyclists enabled setting up requirements for an advisory system, which is useful in preventing single-sided accidents.
This study aimed at developing an injury estimation algorithm for AACN technologies for Germany and compared them to findings based on Japanese data. The data to build and to verify the algorithm was obtained from the German in-depth Accident Database (GIDAS) and split into a training and a validation dataset. Significant input variables and the generalized linear regression model to predict severe injuries (ISS>15) were selected to maximize area under the receiver operating characteristic curve (AUC). Probit regression with the input parameter multiple impact, delta v, seatbelt use and impact direction gave the largest AUC of 0.91. Sensitivity of the algorithm was validated at 90% and specificity at 76% for an injury risk threshold of 2%. It appears that no major differences between Japan and Germany exist for injury estimation based on delta v and impact direction. However, far side impact and multiple crash events appear to be associated with a larger risk increase in the German data.
The current paper reports on the results of a pilot study aiming to investigate the effect of mobile telephone use on the driving performance of 5 amateur and 5 professional drivers. Their driving acuity was tested through a driving simulator. Analysis and interpretation of the results occurred comparing the drivers' driving performance while talking, reading messages and writing a message on the mobile phone (intervention time) with the drivers' driving performance engaged in no activity (control time). The variables affected by the mobile phone were the "steering", the "lane offset" and the "duration of lane offset". Moreover, the drivers involved in a car crash in the last five years appeared to differ from those who were not involved in a crash in both "lane offset" and "following distance". The results of this pilot study will inform the design of a large experimental study on 50 professional and 50 amateur drivers.
SEEKING is looking for answers regarding electric powered bicycles and their relation to traffic safety issues. Does a cyclist need "E"? Is it as risky as riding a moped or are E-bikes creating conflicts with other cyclists? The project described herein, funded by the Austrian Ministry of Transport, has the aim of seeking answers to these hot topics. The SEEKING-team shows an in-depth investigation of vehicle dynamic sensing, together with subjective feedback of test riders to detect similarities and differences between conventional cycling and E-biking. Following an overview on the international status quo, measurement runs and their analyses are performed to find a set of preventative measures to make (E-)biking safer. A specific focus is the detection of curve handling, stopping and acceleration phases as well as conflict studies on course-based test rides and "real world" tests on cycling paths (naturalistic riding).
The Traffic Accident Research Institute at University of Technology Dresden investigates about 1,000 accidents annually in the area around and in Dresden. These datasets have been summarized and evaluated in the GIDAS (German Accident In-Depth Study) project for 13 years. During the project it became apparent that the specific traffic situation of a covert exit of a passenger car and an intersecting two-wheeler involves a high risk potential. This critical situation develops in a large part due to the lack of visibility between the driver and the intersecting bike. In this paper the accident avoidance potential of front camera systems with lateral field of view, which allows the driver to have an indirect sight into the crossing street area will be presented.