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Systematik zur Bewertung der Auswirkungen von Sicherheitseinrichtungen im Kraftfahrzeug (BASE)
(2000)
BASE kann als eine Art "Guide" zur Unterstützung im Prozess der Evaluation von Informations- und Sicherheitseinrichtungen (ISE) in Hinblick auf psychologische Auswirkungen eingesetzt werden. Es ist in Bewertungsbereiche gegliedert, die ihrerseits wiederum den verschiedenen Phasen der Marktdurchdringung zugeordnet sind: (1) Phase vor der eigentlichen Nutzung, (2) Phase der Nutzung und (3) Phase nach vorangeschrittener Diffusion der neuen Technologie. Für die Entwicklung von Informations- und Sicherheitseinrichtungen im Fahrzeug ist es erforderlich, die Sicherheitsanforderungen an solche Einrichtungen zu definieren. Hier stellt das vorliegende Bewertungssystem BASE einen umfassenden Rahmen dar. Ebenso lässt es sich zur Bewertung bereits bestehender Einrichtungen heranziehen. Dabei stehen neben den sensorischen, kognitiven, motivationalen, affektiven und verhaltensbezogenen Reaktionen einer Person auch die Auswirkungen der ISE auf die Sicherheit des Verkehrssystems zur Bewertung an. In diesem Zusammenhang werden der Prozess der reaktiven Verhaltensanpassung und der Marktdurchdringung als Einflussfaktoren auf die Verkehrssicherheit diskutiert.
A methodology to derive precision requirements for automatic emergency braking (AEB) test procedures
(2015)
AEB Systems are becoming important to increase traffic safety. Test procedures in testing for consumer information, manufacturer self-certification and technical regulations are used to ensure a certain minimum performance of these systems. Consequently, test robustness, test efficiency and finally test cost become increasingly important. The key driver for testing effort and test costs is the required repeatable accuracy in a test design - the higher the accuracy, the higher effort and test costs. On the other hand, the performance of active safety systems depends on time discretization in the environment perception and other sub-systems: for instance, typical sensors supply information with a cycle time of 50 - 150 ms. Time discretization results in an inherent spread of system performance, even if the test conditions are perfectly equal. The proposed paper shows a methodology to derive requirements for a test setup (e.g. test repeats, use of driving robots, ...) as function of AEB system generation and rating method (e.g. Euro NCAP points awarded, pass/fail, ...). While the methodology itself is applicable to AEB pedestrian and AEB Car-Car scenarios, due to the lack of sufficient test data for AEB Car-Car, the focus of this paper is on AEB pedestrian scenarios. A simulation model for the performance of AEB Pedestrian systems allows for the systematic variation of the discretization time as well as test condition accuracy. This model is calibrated with test results of 4 production vehicles for AEB Pedestrian, all fully tested by BASt according to current Euro NCAP test protocols. Selected parameters to observe the accuracy of the test setup in case of pedestrian AEB is the calculated impact position of pedestrian on the vehicle front (as if no braking would have occurred), and the test vehicle speed accuracy. These variable was shown in real tests to be repeatable in the range of ± 5 cm and ± 0,25 km/h, respectively, with a fully robotized state of the art test setup. The sensitivity of AEB performance (measured in achieved speed reduction as well as overall rating result according to current Euro NCAP rating methods) towards discretization and the sensitivity of performance towards test accuracy then is compared to identify economic yet robust test concepts. These comparisons show that the available repeatability accuracy of current test setups is more than sufficient for today's AEB system capabilities. Time discretization problems dominate the performance spread especially in test scenarios with a limited pedestrian dummy reveal time (e.g. child behind obstruction, running adult scenarios with low car speeds). This would allow to increase test tolerances to decrease test cost. A methodology which allows to derive the required tolerances in active safety tests might be valuable especially for NCAPs of emerging countries that do not have the necessary equipment (e.g. driving robots, positioning units) available for the full-scale and high tolerance EuroNCAP active safety procedures yet still want to rate active safety systems, thus improving the global safety.
Accidents between right turning trucks and straight riding cyclists often show massive consequences. Accident severity is much higher than in other accidents. The situation is critical especially due to the fact that, in spite of the six mirrors that are mandatory for ensuring a minimum field of sight for the truck drivers, cyclists in some situations cannot be seen or are not seen by the driver. Either the cyclist is overlooked or is in a blind spot area that results from the turning manoeuvre of the truck and its articulation if it is a truck trailer or truck semitrailer combination. At present driver assistance systems are discussed that can support the driver in the turning situation by giving a warning when cyclists are riding parallel to the truck just before or in the turning manoeuvre. Such systems would generally bear a high potential to avoid accidents of right turning trucks and cyclists no matter if they ride on the road or on a parallel bicycle path. However, performance requirements for such turning assist systems or even test procedures do not exist yet. This paper describes the development of a testing method and requirements for turning assist systems for trucks. The starting point of each development of test procedures is an analysis of accident data. A general study of accident figures determines the size of the problem. In-depth accident data is evaluated case by case in order to find out which are representative critical situations. These findings serve to determine characteristic parameters (e.g. boundary conditions, trajectories of truck and cyclist, speeds during the critical situation, impact points). Based on these parameters and technical feasibility by current sensor and actuator technology, representative test scenarios and pass/fail-criteria are defined. The outcome of the study is an overview of the accident situation between right turning trucks and straight driving cyclists in Germany as well as a corresponding test procedure for driver assistance systems that at this first stage will be informing or warning the driver. This test procedure is meant to be the basis for an international discussion on introducing turning assist systems in vehicle regulations.
Neue Herausforderungen an die Unfallforschung durch Fahrerassistenz und automatisiertes Fahren
(2019)
Unfallrekonstruktion hat die Ableitung von Maßnahmen zur Minimierung der Unfallfolgen ermöglicht, vor allem durch Verbesserungen bei passiven Sicherheitseinrichtungen, aber auch durch die Verbesserung der Rettungskette, beispielsweise eCall. Heute können aktive Sicherheitssysteme die Unfallfolgen bereits vor der eigentlichen Kollision reduzieren oder durch Umfeldwahrnehmung und mittels Eingriff in die Fahrzeugsteuerung gegebenenfalls sogar vollständig verhindern. Funktionen, die aktiv in die Fahrzeugsteuerung eingreifen, lassen sich nach ihrer Wirkweise unterscheiden: zum einen handelt es sich um kontinuierlich automatisierende Funktionen, die meist länger aktiv bleiben (zum Beispiel ACC). Zum anderen um Funktionen, die in kritischen Fahrsituationen temporär in die Fahrzeugsteuerung eingreifen. Aufgezeigt wird, welche Konsequenzen und Risiken in Bezug auf diese Systeme sowie für bestimmte (zum Beispiel kritikale) Fahrsituationen anzunehmen sind. Zur Bewertung von aktiven Reglern, die in kritischen Fahrsituationen eingreifen, sind Unfalldaten nur noch eingeschränkt tauglich. Ähnliches gilt für die Bewertung von Ereignissen/ Zuständen im Rahmen kontinuierlicher Fahrzeugsteuerung, vor allem, wenn diese weiter vorausliegen. Wirkzusammenhänge automatisierter Fahrfunktionen müssen jedoch - gerade für den Mischverkehr mit konventionell gesteuerten Fahrzeugen - identifiziert werden. Dafür wird eine Szenariendatenbank mit relevanten Verkehrssituationen benötigt, in die Daten aus Naturalistic Driving Studies (NDS), aus Fahrversuchen oder Versuchen im Fahrsimulator eingehen können. Die zunehmende Durchdringung der Fahrzeugflotte mit kontinuierlich automatisierten Fahrfunktionen lässt eine Abnahme kritischer Fahrsituationen und eine Reduktion der Zahl der Verkehrsopfer erwarten. Allerdings verbleibt eine Restzahl an systemimmanenten Unfällen, die als unvermeidbar gelten müssen.
Schutz von schwächeren Verkehrsteilnehmern: kommende Anforderungen aus Gesetzgebung und Euro NCAP
(2017)
Systeme der aktiven Fahrzeugsicherheit, insbesondere Notbremsassistenzsysteme und automatische Notbremssysteme, haben in den letzten zwei Dekaden große technische Fortschritte gemacht, und das im Wesentlichen ohne "Druck" von Gesetzgeber oder unabhängigen Testorganisationen " diese können aber durch passende Anforderungen den Vormarsch der Systeme in die Breite und die Ausnutzung von ansonsten für den Hersteller vielleicht nicht wirtschaftlichen Potentialen unterstützen. Dieser Bericht hat das Ziel, einen Überblick über die kommenden Anforderungen an Schutzsysteme für schwächere Verkehrsteilnehmer zu geben und diese Anforderungen in den Kontext Euro NCAP (=welchen Einfluss haben diese Anforderungen auf die Gesamtbewertung?) sowie Gesetzgebung (schwächere Anforderungen, aber dafür ein Markteintrittskriterium) zu stellen: - Anforderungen und Testprozeduren für Notbremsassistenz Fahrradunfälle 2018 und 2020 in Euro NCAP; - Anforderungen und Testprozeduren für Notbremsassistenz bei Nachtunfällen mit Fußgängern in Euro NCAP 2018; - Anforderungen und Testprozeduren für Abbiegeassistenzsysteme zum Schutz von Radfahrern in Unfallsituationen mit rechtsabbiegenden Lkw innerhalb der Fahrzeugtypgenehmigung.
Accidents between right turning trucks and straight driving cyclists often show massive consequences. Accident severity in terms of seriously or fatally injured cyclists that are involved is much higher than in accidents of other traffic participants in other situations. It seems clear that adding additional mirrors will very likely not improve the situation. At ESV 2015, a methodology to derive test procedures and first test cases as well as requirements for a driver assist system to address blind spot accidents has been presented. However, it was unclear if and how testing of these cases is feasible, to what extent characteristics of different truck concepts (e.g. articulated vehicles, rigid vehicles) influence the test conduction and outcome, and what tolerances should be selected for the different variables. This work is important for the acceptance of a draft regulation in the UN working group on general safety. In the meantime, three test series using a single tractor vehicle, a tractor-semitrailer combination and a rigid vehicle have been conducted. The test tools (e.g. surrogate devices) have been refined. A fully crashable, commercially available bicycle dummy has been tested. If used correct, this dummy does follow a straight line quite precisely and it does not cause any damage to the truck under test in case of accidental impact. The dummy specifications are freely available. During testing, the different vehicle categories resulted in different trajectories being driven. Articulated vehicle combinations did first execute a turn into the opposite direction, and on the other hand, single tractor vehicles did behave comparable to passenger cars. A possible solution to take these behaviors into account is to require the vehicles to drive through a corridor that is narrow for a precise straight-driving phase and extends during the turn. Other investigated parameters are the dummy and vehicle speed tolerances. The results from this research make it possible to draft a regulation for a driver assistance system that helps to avoid blind spot accidents: test cases have been refined, their feasibility has been checked, and corridors for the vehicles and for important parameters (e.g. test speeds) have been set. The test procedure is applicable to all types of heavy goods vehicles. In combination with the accidentology (ESV 2015 paper), the work provides the basis for a regulation for such an assistance system.
Advancing active safety towards the protection of vulnerable road users: the PROSPECT project
(2017)
Accidents involving Vulnerable Road Users (VRU) are still a very significant issue for road safety. According to the World Health Organisation, pedestrian and cyclist deaths account for more than 25% of all road traffic deaths worldwide. Autonomous Emergency Braking Systems have the potential to improve safety for these VRU groups. The PROSPECT project (Proactive Safety for Pedestrians and Cyclists) aims to significantly improve the effectiveness of active VRU safety systems compared to those currently on the market by expanding the scope of scenarios addressed by the systems and improving the overall system performance. The project pursues an integrated approach: Newest available accident data combined with naturalistic observations and HMI guidelines represent key inputs for the system specifications, which form the basis for the system development. For system development, two main aspects are considered: advanced sensor processing with situation analysis, and intervention strategies including braking and steering. All these concepts are implemented in several vehicle prototypes. Special emphasis is put on balancing system performance in critical scenarios and avoiding undesired system activations. For system validation, testing in realistic scenarios will be done. Results will allow the performance assessment of the developed concepts and a cost-benefit analysis. The findings within the PROSPECT project will contribute to the generation of state -of-the-art knowledge, technical innovations, assessment methodologies and tools for advancing Advanced Driver Assistance Systems towards the protection of VRUs. The introduction of a new generation safety system in the market will enhance VRU road safety in 2020-2025, contributing to the "Vision Zero" objective of no fatalities or serious injuries in road traffic set out in the Transport White Paper. Furthermore, the test methodologies and tools developed within the project shall be considered for the New Car Assessment Programme (Euro NCAP) future roadmaps, supporting the European Commission goal of halving the road toll in the 2011-2020 timeframe.
The presence and performance of Advanced Driver Assistance Systems (ADAS) has increased over last years. Systems available on the market address also conflicts with vulnerable road users (VRUs) such as pedestrians and cyclists. Within the European project PROSPECT (Horizon2020, funded by the EC) improved VRU ADAS systems are developed and tested. However, before determining systems" properties and starting testing, an up-to-date analysis of VRU crashes was needed in order to derive the most important Use Cases (detailed crash descriptions) the systems should address. Besides the identified Accident Scenarios (basic crash descriptions), this paper describes in short the method of deriving the Use Cases for car-to-cyclist crashes. Method Crashes involving one passenger car and one cyclist were investigated in several European crash databases looking for all injury severity levels (slight, severe and fatal). These data sources included European statistics from CARE, data on national level from Germany, Sweden and Hungary as well as detailed accident information from these three countries using GIDAS, the Volvo Cars Cyclist Accident database and Hungarian in-depth accident data, respectively. The most frequent accident scenarios were studied and Use Cases were derived considering the key aspects of these crash situations (e.g., view orientation of the cyclist and the car driver- manoeuvre intention) and thus, form an appropriate basis for the development of Test Scenarios. Results Latest information on car-to-cyclist crashes in Europe was compiled including details on the related crash configurations, driving directions, outcome in terms of injury severity, accident location, other environmental aspects and driver responsibilities. The majority of car-to-cyclist crashes occurred during daylight and in clear weather conditions. Car-to-cyclist crashes in which the vehicle was traveling straight and the cyclist is moving in line with the traffic were found to result in the greatest number of fatalities. Considering also slightly and seriously injured cyclists led to a different order of crash patterns according to the three considered European countries. Finally the paper introduced the Use Cases derived from the crash data analysis. A total of 29 Use Cases were derived considering the group of seriously or fatally injured cyclists and 35 Use Cases were derived considering the group of slightly, seriously or fatally injured cyclists. The highest ranked Use Case describes the collision between a car turning to the nearside and a cyclist riding on a bicycle lane against the usual driving direction. A unified European dataset on car-to-cyclist crash scenarios is not available as the data available in CARE is limited, hence national datasets had to be used for the study and further work will be required to extrapolate the results to a European level. Due to the large number of Use Cases, the paper shows only highest ranked ones.
Since its creation in 2011 the Pre-Crash-Matrix (PCM) offers the possibility to observe the pre-crash phase until five seconds before crash for a wide range of accidents. Currently the PCM contains more than 8.000 reconstructed accidents out of the GIDAS (German In-Depth Accident Study) database and is enlarged continuously by more than 1.000 cases per year. Hence, a detailed investigation of active safety systems in real accident situations has been made feasible. The PCM contains all relevant data in database format to simulate the pre-crash phase until the first collision of the accident for a maximum of two participants. This includes the definition of the participants and their characteristics, the dynamic behavior of the participants as time-dependent course for five seconds before crash as well as the geometry of the traffic infrastructure. The digital sketch of the accident and information from GIDAS as well as from supplementary databases represent the main input for the simulation of the pre-crash phase of an accident with the VUFO simulation model VAST (Vufo Accident Simulation Tool). This simulation in turn embodies the foundation of the PCM. The PCM underlies continual improvements and enhancements in consultation with its users. In addition to collisions of cars with other cars, pedestrians, bicycles and motorcycles the PCM now also covers car to object and car to truck collisions. The paper illustrates car to truck collisions as a showcase and explains perspectives for further developments. In 2016 a more detailed definition of the contour of the vehicle was added. Furthermore, the geometrical surroundings of the accident site will be provided in a new structure with a higher level of detail. Thus, a precise classification of road marks and objects is possible to further improve the support of developing and evaluating ADAS. This paper gives an overview about the latest developments of the PCM with its innovations and provides an outlook to upcoming enhancements. Besides potential areas of application for the development of ADAS are shown.
The advent of active safety systems calls for the development of appropriate testing methods. These methods aim to assess the effectivity of active safety systems based on criteria such as their capability to avoid accidents or lower impact speeds and thus mitigate the injury severity. For prospective effectivity studies, simulation becomes an important tool that needs valid models not only to simulate driving dynamics and safety systems, but also to resolve the collision mechanics. This paper presents an impact model which is based on solving momentum conservation equations and uses it in an effectivity study of a generic collision mitigation system in reconstructed real accidents at junctions. The model assumes an infinitely short crash duration and computes output parameters such as post-crash velocities, delta-v, force directions, etc. and is applicable for all impact collision configurations such as oblique, excentric collisions. Requiring only very little computational effort, the model is especially useful for effectivity studies where large numbers of simulations are necessary. Validation of the model is done by comparison with results from the widely used reconstruction software PC-Crash. Vehicles involved in the accidents are virtually equipped with a collision mitigation system for junctions using the software X-RATE, and the simulations (referred to as system simulations) are started sufficiently early before the collision occurred. In order to assess the effectivity, the real accident (referred to as baseline) is compared with the system simulations by computing the reduction of the impact speeds and delta-v.