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Injury probability functions for pedestrians and bicyclists based on real-world accident data
(2017)
The paper is focusing on the modelling of injury severity probabilities, often called as Injury Risk Functions (IRF). These are mathematical functions describing the probability for a defined population and for possible explanatory factors (variables) to sustain a certain injury severity. Injury risk functions are becoming more and more important as basis for the assessment of automotive safety systems. They contribute to the understanding of injury mechanisms, (prospective) evaluation of safety systems and definition of protection criteria or are used within regulation and/or consumer ratings. In all cases, knowledge about the correlation between mechanical behavior and injury severity is needed. IRFs are often based on biomechanical data. This paper is focusing on the derivation of injury probability models from real world accident data of the GIDAS database (German In-depth Accident Study). In contrast to most academic terms there is no explicit term definition or definition of creation processes existing for injury probability models based on empirical data. Different approaches are existing for such kind of models in the field of accident research. There is a need for harmonization in terms of the used methods and data as well as the handling with the existing challenges. These are preparation of the dataset, model assumptions, censored/unknown data, evaluation of model accuracy, definition of dependent and independent variable, and others. In the presented study, several empirical, statistical and phenomenological approaches were analyzed regarding their advantages and disadvantages and also their applicability. Furthermore, the identification of appropriate prediction parameters for the injury severity of pedestrians has been considered. Due to its main effect on injuries of pedestrians and bicyclists, the importance of the secondary impact has also been analyzed. Finally, the model accuracy, evaluated by several criteria, is the rating factor that gives the quality and reliability for application of the resulting models. After the investigation and evaluation of statistical approaches one method was chosen and appropriate prediction variables were examined. Finally, all findings were summarized and injury risk functions for pedestrians in real world accidents were created. Additionally, the paper gives instructions for the interpretation and usage of such functions. The presented results include IRFs for several injury severity levels and age groups. The presented models are based on a high amount of real world accidents and describe very well the injury severity probability of pedestrians and bicyclists in frontal collisions with current vehicles. The functions can serve as basis for the evaluation of effectiveness of systems like Pedestrian-AEB or Bicycle-AEB.
Im Rahmen des weltweiten ESV-Programmes (Enhanced Safety of Vehicles) werden seit mehreren Jahren internationale Forschungsbemühungen unternommen (International Harmonized Research Activities, IHRA), um im Vorfeld der Gesetzgebung die wissenschaftlichen Grundlagen gemeinsam zu erarbeiten. Ziel der IHRA-Arbeiten ist es, auf der Grundlage dieser Forschungsergebnisse die Harmonisierung der Vorschriften zu erleichtern. Eine besondere Aktivität bezieht sich auf Intelligent Transportation Systems (ITS). Im vorliegenden Beitrag wird die Aufgabe dieser IHRA-ITS-Arbeiten geschildert, sowie der derzeitige Stand der Forschungsbemühungen beschrieben. Es zeigt sich, dass die beschriebene Sicherheitsbewertung eine Fülle von Fragestellungen aufwirft und weitere Forschungsanstrengungen erfordert. Die zukünftigen Bemühungen sind darauf gerichtet, in internationaler Zusammenarbeit und Arbeitsteilung die als besonders wichtig erkannten Themen zur Bewertung der fahrzeugseitigen Fahrerassistenzsysteme zu bearbeiten.
Ausgehend von den Unfalldaten der letzten Jahre wird die Bedeutung von Fußgängerunfällen im Unfallgeschehen dargestellt. Betrachtet man die bei Unfällen getöteten Verkehrsteilnehmer, so sind am häufigsten Personen in Kraftfahrzeugen betroffen. Am zweithäufigsten werden, gemäß der Unfallstatistik, Fußgänger getötet. Eine Möglichkeit zur Verbesserung des Schutzes von Fußgängern und anderen sogenannten "ungeschützten Verkehrsteilnehmern" im Falle einer Kollision mit einem Kraftfahrzeug sind Maßnahmen am Fahrzeug. Um die Wirksamkeit derartiger Maßnahmen zu beurteilen, wurde durch das EEVC (European Enhanced Vehicle-Safety Committee) ein Prüfverfahren entwickelt. Es handelt sich dabei um ein Komponentenprüfverfahren, mit dem die Frontstruktur von Fahrzeugen, die bei einer Kollision mit einem Fußgänger hauptsächlich betroffen ist, geprüft wird. Es werden keine den gesamten Menschen repräsentierende Dummies verwendet, stattdessen werden Prüfkörper, die einzelne Körperteile simulieren, eingesetzt. Dieser EEVC Vorschlag wird geschildert. Darüber hinaus wird über Aktivitäten außerhalb des EEVC berichtet, sowie über den aktuellen Stand der Bemühungen der Europäischen Kommission in Bezug auf den Fußgängerschutz, die derzeit, auf Grundlage des Prüfvorschlages des EEVC, einen Vorschlag für eine Europäische Richtlinie erarbeitet.
In der Europäischen Union (EU) gab es 1999 circa 1,3 Millionen Straßenverkehrsunfälle mit Personenschaden, wobei circa 42.000 Personen getötet wurden. Ziel der EU ist es diese Zahl auf 25.000 im Jahr 2010 zu senken. Die EEVC befasst sich bereits seit Anfang der 80er Jahre mit der Thematik Fußgängerschutz in verschiedenen Arbeitsgruppen. Im Dezember 1998 legte die EEVC-Arbeitsgruppe 17 "Fußgängersicherheit" ihren Abschlussbericht vor, in dessen Anhang ein Prüfverfahren zum fahrzeugseitigen Fußgängerschutz enthalten ist. Dieses Prüfverfahren wird vorgestellt. Es basiert auf Komponententests. Unterschieden werden drei Prüfkörperarten und insgesamt vier Prüfkörper. Aus wissenschaftlicher Sicht und aus Sicht der Unfallforschung empfiehlt die EEVC-Arbeitsgruppe 17 eine umfassende Einführung des vorgeschlagenen Prüfverfahrens mit allen Prüfkörpern, gegebenenfalls in Form einer stufenweisen Einführung.
Seit 1997 gibt es in Europa unter dem Namen Euro NCAP (European New Car Assessment Programme) einheitliche Test- und Ratingverfahren. Sie liefern Informationen über den Insassen- und über den Fußgängerschutz. Euro NCAP hat seither fast 90 Fahrzeugmodelle in jeweils drei unterschiedlichen Crashtest-Konfigurationen untersucht und die Ergebnisse den europäischen Konsumenten zugänglich gemacht. Im Beitrag wird auf die Testbedingungen, die Euro NCAP-Ratingverfahren sowie auf die Weiterentwicklung von Euro NCAP eingegangen. Ein wichtiger Aspekt wird dabei auch die weltweite Harmonisierung der Test- und Ratingverfahren sein.
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.
Accident data shows that the vast majority of pedestrian accidents involve a passenger car. A refined method for estimating the potential effectiveness of a technology designed to support the car driver in mitigating or avoiding pedestrian accidents is presented. The basis of the benefit prediction method consists of accident scenario information for pedestrian-passenger car accidents from GIDAS, including vehicle and pedestrian velocities. These real world pedestrian accidents were first reconstructed and the system effectiveness was determined by comparing injury outcome with and without the functionality enabled for each accident. The predictions from Volvo Cars" general Benefit Estimation Model are refined by including the actual system algorithm and sensing models for a relevant car in the simulation environment. The feasibility of the method is proven by a case study on a authentic technology; the Auto Brake functionality in Collision Warning with Full Auto Brake and Pedestrian Detection (CWAB-PD). Assuming the system is adopted by all vehicles, the Case Study indicates a 24% reduction in pedestrian fatalities for crashes where the pedestrians were struck by the front of a passenger car.
This study is aimed to investigate the correlations of impact conditions and dynamic responses with the injuries and injury severity of child pedestrians by accident reconstruction. For this purpose, the pedestrian accident cases were selected from Sweden and Germany with detailed information about injuries, accident cars, and accident environment. The selected accident cases were reconstructed using mathematical models of pedestrian and passenger car. The pedestrian models were generated based on the height, weight, and age of the pedestrian involved in accidents. The car models were built up based on the corresponding accident car. The impact speeds in simulations were defined based on the reported data. The calculated physical quantities were analyzed to find the correlation with injury outcomes registered in the accident database. The reconstruction approaches are discussed in terms of data collection, estimating vehicle impact speeds, pedestrian moving speeds and initial posture, secondary ground impact, validity of the mathematical models, as well as impact biomechanics.
Because of actual developments and the continuous increase in the field of drive assistant systems, representative and detailed investigations of accident databases are necessary. This lecture describes the possibility to estimate the potential of primary and secondary safety measures by means of a computerized case by case analysis. Single primary or secondary safety measures as well as a combination of both are presented. The method is exemplarily shown for the primary safety measure "Brake Assist" in pedestrian accidents. Regarding accident prevention only the primary safety measure is determined.
In-depth road traffic accident research in Spain is a fairly recent activity. In the past, only accident data that had been retrospectively processed by the national and regional traffic police forces was available. In 1999 Applus+IDIADA set up a permanent accident research unit to carry out indepth analysis of road accidents in Spain. Since then accidents involving cars, motorcycles, coaches and vulnerable road users have been thoroughly studied. The Applus+IDIADA accident research team has carried out work for the various traffic polices in Spain and it is currently involved in several research projects in which accidentology is one of the main tasks. The working methodology of the team is presented in the first part of the paper. In the framework of the European research project "Rollover" (GRD2-2001-50086), Applus+IDIADA has collected data, inspected scenarios and performed virtual reconstructions of twenty-six of the total seventy-six rollover accidents studied. The second half of the paper describes how these accident investigations were used to develop a test procedure for identifying possible improvements to the vehicle structure which augment occupant protection in a rollover scenario. In particular, a proposal for a new drop test for rollover assessment is presented. The cases were analysed for severity, in terms of injury to the occupants and damage to the vehicle, and taking into account whether a seatbelt was worn or not. The worst possible cases were identified as those that had severe occupant injuries and sizable damage to the occupant compartment when seatbelts had been worn. The most severe cases were then analysed further for impact position (roll and pitch angles) and the impact velocity. With these parameters taken into account, the most representative combinations could be found. This resulted in a series of configurations for possible drop tests. The results of the tests indicate where passenger vehicle structures need to be improved in order to increase occupant safety in the event of a rollover crash.
There is a need for detecting characteristics of pedestrian movement before car-pedestrian collisions to trigger a fully reversible pedestrian protection system. For this purpose, a pedestrian sensor system has been developed. In order to evaluate the effectiveness of the sensor system, the in-depth knowledge of car-pedestrian impact scenarios is needed. This study aims at the evaluation of the sensor system. The accident data are selected from the STRADA database. The accident scenarios available in this database were evaluated and the knowledge of the most common scenarios was developed in terms of the pedestrian trajectory, the pedestrian speed, the car trajectory, the car velocity, etc. A mathematical model was then established to evaluate the sensor system with different detective angles. It was found that in order to detect all the pedestrians in the most common scenarios on time the sensor detective angle must be kept larger than 60 degrees.
Description of road traffic related knee injuries in published investigations is very heterogeneous. The purpose of this study was to estimate the risk of knee injuries in real world car impacts in Germany focusing vulnerable road users (pedestrians, bicyclists and motorcyclists) and restrained car drivers. The accident research unit analyses technical and medical data collected shortly after the accident at scene. Two different periods (years 1985-1993 and 1995-2003) were compared focusing on knee injuries (Abbreviated Injury Scale (AISKnee) 2/3). In order to determine the influences type of collision, direction and speed as well as the injury pattern and different injury scores (AIS, MAIS, ISS) were examined. 1.794 pedestrians, 742 motorcyclists, 2.728 bicyclists and 1.116 car drivers were extracted. 2% had serious ligamentous or bony injuries in relation to all injured. The risk of injury is higher for twowheelers than for pedestrians, but knee injury severity is higher for the latter group. Overall the current knee injury risk is low and significant reduced comparing both time periods (27%, p<0,0001). Severe injuries (AISKnee 2/3) were below 1%). Improved aerodynamic design of car fronts reduced the risk for severe knee injuries significantly (p=0,0015). Highest risk of injury is for motorcycle followed by pedestrians, respectively. Knee protectors could prevent injuries by reducing local forces. The classically described dashboard injury was rarely identified. The overall injury risk for knee injuries in road traffic is lower than estimated and reduced comparing both periods. The aerodynamic shape of current cars compared to older types reduced the incidence and severity of knee injuries. Further modification and optimization of the interior and exterior design could be a proper measurement. Classic described injury mechanisms were rarely identified. It seems that the AIS is still underestimating extremity injuries and their long term results.