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The overall purpose of the ASSESS project is to develop a relevant and standardised set of test and assessment methods and associated tools for integrated vehicle safety systems, primarily focussing on currently available pre-crash sensing systems. The first stage of the project was to define casualty relevant accident scenarios so that the test scenarios will be developed based on accident scenarios which currently result in the greatest injury outcome, measured by a combination of casualty severity and casualty frequency. The first analysis stage was completed using data from a range of accident databases, including those which were nationally representative (STATS19, UK and STRADA, SE) and in-depth sources which provided more detailed parameters to characterise the accident scenarios (GIDAS, DE and OTS, UK). A common analysis method was developed in order to compare the data from these different sources, and while the data sets were not completely compatible, the majority of the data was aligned in such a way that allowed a useful comparison to be made. As the ASSESS project focuses on pre-crash sensing systems fitted to passenger cars, the data selected for the analysis was "injury accidents which involved at least one passenger car". The accident data analysis yielded the following ranked list of most relevant accident scenarios: Rank Accident scenario 1 Driving accident - single vehicle loss of control 2 Accidents in longitudinal traffic (same and opposite directions) 3 Accidents with turning vehicle(s) or crossing paths in junctions 4 Accidents involving pedestrians The ranked list highlights the relatively large role played by "accidents in longitudinal traffic", and "accidents with turning vehicle(s) or crossing paths in junctions" (the second and third most prevalent accident scenarios, respectively). The pre-crash systems addressed in ASSESS propose to yield beneficial safety outcomes with specific regard to these accident scenarios. This indicates that the ASSESS project is highly relevant to the current casualty crash problem. In the second stage of the analysis a selection of these accident scenarios were analysed further to define the accident parameters at a more detailed level .This paper describes the analysis approach and results from the first analysis stage.
The SafetyNet project was formulated in part to address the need for safety oriented European road accident data. One of the main tasks included within the project was the development of a methodology for better understanding of accident causation together with the development of an associated database involving data obtained from on-scene or "nearly onscene" accident investigations. Information from these investigations was complemented by data from follow-up interviews with crash participants to determine critical events and contributory factors to the accident occurrence. A method for classification of accident contributing factors, known as DREAM 3.0, was developed and tested in conjunction with the SafetyNet activities. Collection of data and case analysis for some 1 000 individual crashes have recently been completed and inserted into the database and therefore aggregation analyses of the data are now being undertaken. This paper describes the methodology development, an overview of the database and the initial aggregation analyses.
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.
Millions of kilometers are driven and recorded by car manufacturers and researchers every year to gather information about realistic traffic situations. The focus of these studies is often the recording of critical situations to create test scenarios for the development of new systems before introducing them into the market. This paper shows a novel Analysis and Investigation Method for All Traffic Scenarios (AIMATS) based on real traffic scenes. It also shows how to get detailed information about speeds, trajectories and behavior of all participants without driving thousands of kilometers at the example of conflict situations with animals. Basis of the AIMATS is the identification of the most relevant locations as "Points of Interest" (POI), the recording of the critical situations and their "base lines" at these POI. This paper presents a new method to identify critical scenarios involving both vehicles and animals as well as preliminary results of a study done in Saxony using this new method.
The focus of the technical innovation in the automobile industry is currently changing to sensor based safety systems, which are operating in the pre-crash phase of an accident. To get more information about this pre-crash phase for real accidents a simulation of this phase using the GIDAS database is done. The basics for this simulation are geometrical information about the accident location and the exact accident data out of the GIDAS database. This aggregated information gives the possibility to simulate an exact motion for every accident participant, using MATLAB / SIMULINK, in the pre-crash phase. After the simulation the information about the geometrical positions, the velocities and maneuvers of the drivers to an individual TTC (time to collision) are available. With those results it is possible to develop new useful sensor geometries using pre-crash scatter plots or estimate the efficiency of implemented active safety systems in combination with sensor characteristics. This simulation can be done for every reconstructed accident included in the GIDAS database, so these results can represent a wide spread basis for the further development of active safety systems and sensor geometries and characteristics
Entgegen populären Meinungen, welche älteren Kraftfahrern ein generelles Gefahrenpotenzial für die allgemeine Verkehrssicherheit zuschreiben, weisen die Unfallstatistiken eher auf eine besondere Gefährdung dieser Gruppe von Verkehrsteilnehmern hin, woraus sich Forderungen nach einer zielgruppenspezifischen Verkehrssicherheitsarbeit begründen. Kompetentes und damit sicheres Verhalten kann als Ergebnis der Passung zwischen den individuell verfügbaren Ressourcen und den Anforderungen der Umwelt betrachtet werden. Überschreiten die Umweltanforderungen die Verhaltenspotenziale des Individuums, kann es zu Überforderung kommen. Verdeutlichen lässt sich diese Perspektive durch genaue Betrachtung von Verkehrsunfällen unter Beteiligung älterer Kraftfahrer: So spiegeln die aktuellen Unfallstatistiken aus 2008 wider, dass ein großer Teil der Unfälle von Kraftfahrern im Alter über 65 Jahren auf sogenanntes Fehlverhalten in Knoten, wie z.B. Fehler beim Abbiegen, Ein- und Ausfahren in Kreuzungen und Vorfahrtbeachtung, zurückzuführen sind. Diese im Vergleich zu jüngeren Fahrern häufigere Verwicklung Älterer in Unfälle dieser Art legt nahe, dass es in genau diesen Situationen zu einem Ungleichgewicht zwischen individuell verfügbaren Ressourcen und den Anforderungen der Verkehrsumwelt kommt. Beispielsweise könnten in diesen Situationen Beeinträchtigungen der visuellen Wahrnehmungsfähigkeit, verlangsamte Reaktionszeiten oder auch Einschränkungen der Bewegungsausführung zu einer zu langsamen oder auch falschen Entscheidungsfindung oder Handlungsausführung im Straßenverkehr führen. Dieser Perspektive folgend können Maßnahmen zur Erhöhung der Verkehrssicherheit älterer Kraftfahrer zum einen auf Seiten des Individuums ansetzen und dazu beitragen, die Kompetenzen des älteren Kraftfahrers zu erhöhen, zum anderen Bezug auf den Kontext nehmen, indem durch Anpassungen der Bedingungen der Verkehrsumwelt zur Sicherheit " nicht nur " älterer Kraftfahrer beigetragen wird. Personenzentrierte Ansätze zielen dabei auf die Ausschöpfung der individuellen Potenziale zur Aufrechterhaltung, Verbesserung oder auch Wiederherstellung einer sicheren Verkehrsteilnahme bis ins hohe Lebensalter. Diese Ansätze umfassen Trainings- und Rehabilitationsprogramme der Fahrkompetenz gleichermaßen wie verkehrspädagogische Programme, mediale Informationskampagnen oder auch Beratungsmaßnahmen und Screening-Tests. Eine Schlüsselposition kann in diesem Kontext dem (Haus)-Arzt als Experten hinsichtlich Konstitution und Lebensverhältnissen seines Patienten und Vertrauensperson zukommen. In der Regel passen ältere Kraftfahrer ihr Fahrverhalten ihren individuell verfügbaren Kompetenzen an. Auf diese Weise können altersbegleitende oder auch mit Erkrankungen oder Medikamenteneinnahmen einhergehende Veränderungen der körperlichen oder geistigen Leistungsfähigkeit zumeist erfolgreich kompensiert werden. Personenzentrierten Ansätzen kommt jedoch eine besondere Relevanz für den kleinen Anteil älterer Fahrer zu, welche keine oder nur unzureichende Kompensation aufweisen. Kontextorientierte Ansätze beziehen sich auf Maßnahmen, welche eine möglichst optimale Gestaltung der Bedingungen der Verkehrsumwelt auf die Bedürfnisse und Anforderungen älterer Kraftfahrer herbeiführen sollen. Maßnahmen dieser Art zielen zum Beispiel auf eine Entschleunigung des Straßenverkehrs durch Geschwindigkeitsbegrenzungen oder auch bauliche Maßnahmen. Auch die Potenziale moderner Fahrzeugtechnik werden unter dieser Perspektive zur Erhöhung der Verkehrssicherheit älterer Fahrer nutzbar. So können Fahrerassistenz- oder Fahrerinformationssysteme den älteren Fahrer in komplexen Situationen unterstützen. Dabei ist der Nutzen für die Verkehrssicherheit jedoch stark von der Handhabbarkeit und Bedienqualität der technischen Hilfsmittel abhängig. Technologien, welche die Komplexität der Fahrzeugbedienung erheblich erhöhen oder die Aufmerksamkeit vom Straßenverkehr ablenken, können ggf. auch zu einer weiteren Diskrepanz zwischen Anforderungssituation und verfügbaren Kompetenzen beitragen. Neben diesen eher auf die individuelle Verkehrsteilnahme als Autofahrer bezogenen Maßnahmen sind weitere wichtige kontextorientierte Ansatzpunkte in alternativen Mobilitätsvarianten zum Auto, wie in der Verbesserung der Attraktivität von Angeboten des ÖPNV oder auch den Bedingungen für Fußgänger und Radfahrer, zu finden. In diesem Sinne erscheint ein mehrdimensionaler Ansatz für die Gestaltung von Maßnahmen zur Erhöhung der Verkehrssicherheit älterer Kraftfahrer am erfolgversprechendsten. Interventionsansätze sollten sich gegenseitig ergänzen und möglichst sowohl die Ressourcen auf Seiten des älteren Menschen selbst als auch der Umwelt umfassen.
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.
A set of recommendations for pan-European transparent and independent road accident investigations has been developed by the SafetyNet project. The aim of these recommendations is to pave the way for future EU scale accident investigation activities by setting out the necessary steps for establishing safety oriented road accident investigations in Member States. This can be seen as the start of the process for establishing road accident investigations throughout Europe which operate according to a common methodology. The recommendations propose a European Safety Oriented Road Accident Investigation Programme which sets out the procedures that need to be put in place to investigate a sample of every day road accidents. They address four sets of issues; institutional addressing the characteristics of the programme; operational describing the conditions under which data isrncollected; data storage and protection; and reports, countermeasures and the dissemination of data.rn
Road condition acquisition and assessment are the key to guarantee their permanent availability. In order to maintain a country's whole road network, millions of high-resolution images have to be analyzed annually. Currently, this requires cost and time excessive manual labor. We aim to automate this process to a high degree by applying deep neural networks. Such networks need a lot of data to be trained successfully, which are not publicly available at the moment. In this paper, we present the GAPs dataset, which is the first freely available pavement distress dataset of a size, large enough to train high-performing deep neural networks. It provides high quality images, recorded by a standardized process fulfilling German federal regulations, and detailed distress annotations. For the first time, this enables a fair comparison of research in this field. Furthermore, we present a first evaluation of the state of the art in pavement distress detection and an analysis of the effectiveness of state of the art regularization techniques on this dataset.
The national accident statistics demonstrate that the situation of passenger car side impacts is dominated by car to car accidents. Car side to pole impacts are relatively infrequent events. However the importance of car side to pole impacts is significantly increasing with fatal and seriously injured occupants. For the present study the German in-depth database GIDAS (German In-Depth-Accident Study) and the UK based database CCIS (Co-operative Crash Injury Study) were used. Two approaches were undertaken to better understand the scenario of car to pole impacts. The first part is a statistical analysis of passenger car side to pole impacts to describe the characteristics and their importance relevant to other types of impact and to get further knowledge about the main factors influencing the accident outcome. The second part contains a case by case review on passenger cars first registered 1998 onwards to further investigate this type of impact including regression analysis to assess the relationship between injury severity and pole impact relevant factors.