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Twenty-eight percent of traffic accidents in Japan are rear-end collisions, and of these, 13% are multiple collisions (three or more vehicles and/or roadside objects). A post-crash braking system enables the driver to stop the vehicle in a short distance after a rear-end collision to prevent secondary collisions. In this study, the effectiveness of a post-crash braking system was examined using a drive recorder database. In 64% of rear-end collisions, the driver's braking was interrupted after the collision. The stopping distance was estimated with time data from the drive recorder. We predict that the brake assist would be effective in preventing secondary collisions in 21% of cases.
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.
Die vorliegende Studie liefert Ergebnisse zur Marktdurchdringung von Fahrzeugsicherheitssystemen im Jahr 2015. Wie bereits im Jahr 2013 wurde die Studie von infas und dem Institut fuer Kraftfahrzeuge (ika) durchgeführt. Dazu wurden 5.040 Haushalte zur Ausstattung eines ihnen zur Verfügung stehenden Fahrzeugs befragt und 56 Fahrzeugsicherheitssysteme ausgewählt. Neben den quantitativen Interviews wurden zwei Fokusgruppen mit Neu- bzw. Gebrauchtwagenkäufern durchgeführt. In der vorangegangenen Studie von 2013 wurden Experten befragt, die beruflich mit dem Ein- oder Verkauf von Pkw fuer Unternehmensflotten befasst sind. Die weiteste Verbreitung haben passive Sicherheitssysteme wie Airbags, die darauf abzielen, die Folgen eines Unfalls fuer die Beteiligten abzumildern. Aber auch aktive und intervenierende Systeme, die Risiken vermeiden oder einzelne Fahraufgaben übernehmen, gehören haeufig zur Fahrzeugausstattung. Die häufigsten Vertreter aus dieser Gruppe sind der Bremsassistent, ESP und der Tempomat. Die meisten Fahrzeugsicherheitssysteme sind in Fahrzeugen der oberen Mittelklasse und Oberklasse zu finden. Mit der jährlichen Fahrleistung und der Nutzungshäufigkeit nimmt die Anzahl der Systeme ebenso zu wie bei jüngeren Fahrzeugen und Dienstwagen. Die grössten Veränderungen gibt es im Segment der SUVs und Geländewagen. Hier steigt die Zahl der Neuzulassungen in den letzten Jahren deutlich und die Ergebnisse zeigen, dass diese Fahrzeuge häufig mit einer Vielzahl von Sicherheitssystemen ausgestattet sind. Die Ergebnisse aus der Vorgängerstudie zeigen, dass gewerbliche Fahrzeughalter solche Fahrzeugsicherheitssysteme in die Standardausstattung aufnehmen, deren Nutzen nachgewiesen ist. In der diesjährigen Studie wird deutlich, dass auch private Käufer Systeme insbesondere dann als sicherheitsrelevant und sinnvoll erachten, wenn sie durch den Gesetzgeber vorgeschrieben oder bereits seit längerer Zeit auf dem Markt etabliert sind. Es zeigt sich auch, dass insbesondere die eigene Erfahrung mit Sicherheitssystemen Vorurteile abbaut und zu einer positiven Einstellung gegenüber solchen Systemen führt.
Assessment of the effectiveness of Intersection Assistance Systems at urban and rural accident sites
(2015)
An Intersection Collision Avoidance System is a promising safety system for accident avoidance or injury mitigation at junctions. However, there is still a lack of evidence of the effectiveness, due to the missing real accident data concerning Advanced Driver Assistance Systems. The objective of this study is the assessment of the effectiveness of an Intersection Collision Avoidance System based on real accidents. The method used is called virtual pre-crash simulation. Accidents at junctions were reconstructed by using the numerical simulation software PC-Crashâ„¢. This first simulation is called the baseline simulation. In a second step the vehicles of these accidents were equipped with an Intersection Collision Avoidance System and simulated again. The second simulation is called the system simulation. In the system simulation two different sensors and four different intervention strategies were used, based on a time-to-collision approach. The effectiveness of Intersection Collision Avoidance System has been evaluated by using an assessment function. On average 9% of the reviewed junction accidents could have been avoided within the system simulations. The other simulation results clearly showed a change in the principal direction of force, delta-v and reduction of the injury severity.
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.
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.
Fahrerassistenzsystemen mit Umfeldwahrnehmung wird ein hohes Potenzial zur Unfallvermeidung zugeschrieben, wenn diese umfassender und intensiver in die Fahrdynamik von Fahrzeugen eingreifen und weiter vernetzt werden. Diese erweiterten Eingriffsmöglichkeiten erzeugen auch neue Risiken, welche vor der Genehmigung und Zulassung für den öffentlichen Straßenverkehr abgesichert werden müssen. Neuartig ist bei diesen Systemen, dass sie nur über eine Situationsrepräsentation die unfallvermeidenden Handlungen ableiten können. Somit kommt zum Risiko des Versagens von Systemkomponenten, das bereits durch die ISO 26262-Norm zur funktionalen Sicherheit adressiert ist, das Risiko aufgrund einer falschen Interpretation auftretenden, nicht situationsgemaessen Auslösung, z. B. durch Situationskonstellationen, die bei der Entwicklung nicht berücksichtigt wurden und daher in den Funktionsspezifikationen nicht enthalten sind. Um die Anforderungen an Absicherungsmethoden für diese Assistenzsysteme zu identifizieren, werden diese zusammengestellt und der Absicherungsaufwand mit bestehenden Methoden, bspw. aufbauend auf den Anforderungen der ISO 26262, bestimmt. Die Analyse zeigt, dass bisherige Ansätze sowohl hinsichtlich der objektiven Nachweisbarkeit der Vollständigkeit der theoretisch möglichen Situationen Lücken aufweisen als auch hinsichtlich des Umfangs der notwendigen Spezifikationen und deren Prüfung in Versuchen. Aufgrund des daher zu erwartenden Aufwands für den Nachweis eines sicheren Verhaltens der Systeme sind eine Priorisierung von Fahrsituationen und die Gewährleistung einer hohen Übertragbarkeit von Bewertungsergebnissen notwendig. Um die Vollständigkeitsproblematik zu adressieren, wird ein Ansatz vorgestellt, der eine objektive Bewertung und den Vergleich von Fahrsituationen ermöglicht. Abschließend werden die Erkenntnisse zusammengefasst und notwendige weitere Schritte für die Schaffung einer einheitlichen Absicherungsstrategie für Fahrerassistenzsysteme abgeleitet.
Accident research 2.0: New methods for representative evaluation of integral safety in traffic
(2013)
BMW has developed a procedure for rating Advanced Driver Assistance Systems (ADAS) benefits that integrates two distinct tools. The tool "S.A.F.E.R." is designed to analyze the pre-crash phase. The aim of S.A.F.E.R. is to simulate all relevant processes in sufficient detail to obtain reproducible estimates of key indicators (effectiveness, false positives, etc.). The relevant processes include not only traffic and vehicle dynamics, but also environmental and most importantly human factors. Representative distributions of factors and parameters are obtained by taking the stochastic variation of all relevant parameters into account in the simulations. The second tool, known as "ICOS", has been designed to provide a high-resolution, high-fidelity description of crash phase dynamics. If one converts the outputs of stochastic simulation into inputs for crash dynamics, the result is a comprehensive description of exactly how a safety system can reduce injuries. Applications currently focus on high-fidelity simulation of individual crashes in order to enhance our understanding and optimization of connected safety systems. An integrated simulation process thus allows an exact prediction of the effectiveness in individual cases in terms of injury severity. The development and rating of integral safety need to reflect the true efficiency in the field. The integrated approach described here could provide a valid and reproducible basis for rating connected systems of active and passive safety. In particular, "virtual experiments" using a traffic-based approach and incorporating models of all relevant processes constitute an essential element of the approach.
The utilisation of secondary-safety systems to protect occupants has attained a very high level over the past decades. Further improvements are still possible, but increasingly minor progress is only to be had with a high degree of effort. Thus, a key aspect must be the impact to overall safety in an accident. If reliable information is available on an imminent crash, measures already taken in the pre-crash phase can result in a significantly great influence on the outcomes of the crash. With this background preventive measures are the key to a sustainable further reduction of the figures of crash victims on our roads. This paper aims to show a preventive approach that can contribute to lessening the consequences of a crash by creating an optimum interaction of measures in the fields of primary and secondary safety. To further enhance vehicle safety, driver assistant systems are already available that warn the driver of an imminent front-to-rear-end crash. The next step is to support him in his reactions or if he fails to react sufficiently, to even initiate an automatic braking when the crash becomes unavoidable. Automatic pre-crash braking can, in an ideal situation, fully prevent a crash or can significantly reduce the impact speed and thus the impact energy (and the severity of the accident). If a vehicle is being braked in the pre-crash phase, the occupants are already being pre-stressed by the deceleration. The information available about the imminent crash can be used to activate the belt tensioners and likewise other secondary safety systems in the vehicle right before the impact. The pre-crash deceleration also causes the front of the vehicle to dip. Conventional crash tests do not take this specific impact situation into consideration. This is why, for example, the influences of the pre-crash displacements of the occupants are not recorded in the test results. Furthermore, a reproducible representation of the benefit of the vehicle safety systems which prepare the occupants for the imminent impact is not possible. In order to demonstrate the functions of automated pre-crash braking and to investigate the differences during the impact as a consequence of the altered occupant positions as well as the initiation of force and deformations of the vehicle front, DEKRA teamed up with BMW to carry out a joint crash test with the latest BMW 5 series vehicle. It involved the vehicle braking automatically from a starting test speed of 64 km/h (corresponding to the impact speed set by Euro NCAP) down to 40 km/h. The test was still run by the intelligent drive system of the crash test facility. This required several modifications to be made to the test facility as well as to the vehicle. The paper will describe and discuss some relevant results of the crash test. In addition, the possible benefits of such systems will also be considered. The test supplemented the work of the vFSS working group (vFSS stands advanced Forward-looking Safety Systems).