Filtern
Erscheinungsjahr
Dokumenttyp
- Konferenzveröffentlichung (97) (entfernen)
Volltext vorhanden
- nein (97) (entfernen)
Schlagworte
- Test method (32)
- Prüfverfahren (29)
- Safety (29)
- Sicherheit (29)
- Impact test (veh) (26)
- Bewertung (25)
- Conference (25)
- Evaluation (assessment) (25)
- Fußgänger (25)
- Pedestrian (25)
Institut
- Abteilung Fahrzeugtechnik (97) (entfernen)
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.
Euro NCAP will start to test pedestrian Automatic Emergency Braking Systems (AEB) from 2016 on. Test procedures for these tests had been developed by and discussed between the AsPeCSS project and other initiatives (e.g. the AEB group with Thatcham Research from the UK). This paper gives an overview on the development process from the AsPeCSS side, summarizes the current test and assessment procedures as of March 2015 and shows test and assessment results of five cars that had been tested by BASt for AsPeCSS and the respective manufacturer. The test and assessment methodology seems appropriate to rate the performance of different vehicles. The best test result - still one year ahead of the test implementation - is around 80%, while the worst rating result is around 10%. Other vehicles are between these boundaries.
PROSPECT (Proactive Safety for Pedestrians and Cyclists) is a collaborative research project involving most of the relevant partners from the automotive industry (including important active safety vehicle manufacturers and tier-1 suppliers) as well as academia and independent test labs, funded by the European Commission in the Horizon 2020 research program. PROSPECT's primary goal is the development of novel active safety functions, to be finally demonstrated to the public in three prototype vehicles. A sound benefit assessment of the prototype vehicle's functionality requires a broad testing methodology which goes beyond what has currently been used. Since PROSPECT functions are developed to prevent accidents in intersections, a key aspect of the test methodology is the reproduction of natural driving styles on the test track with driving robots. For this task, data from a real driving study with subjects in a suburb of Munich, Germany was used. Further data from Barcelona will be available soon. The data suggests that intersection crossing can be broken down into five phases, two phases with straight deceleration / acceleration, one phase with constant radius and speed turning, and two phases where the bend is imitated or ended. In these latter phases, drivers mostly combine lateral and longitudinal accelerations and drive what is called a clothoid, a curve with curvature proportional to distance travelled, in order to change lateral acceleration smoothly rather than abrupt. The data suggests that the main parameter of the clothoid, the ratio distance travelled to curvature, is mostly constant during the intersections. This parameter together with decelerations and speeds allows the generation of synthetic robot program files for a reproduction of natural driving styles using robots, allowing a much greater reproducibility than what is possible with human test drivers. First tests show that in principle it is possible to use the driving robots for vehicle control in that manner; a challenge currently is the control performance of the robot system in terms of speed control, but it is anticipated that this problem will be solved soon. Further elements of the PROSPECT test methodology are a standard intersection marking to be implemented on the test track which allows the efficient testing of all PROSPECT test cases, standard mobile and light obstruction elements for quick reproduction of obstructions of view, and a concept for tests in realistic surroundings. First tests using the PROSPECT test methodology will be conducted over the summer 2017, and final tests of the prototype vehicles developed within PROSPECT will be conducted in early 2018
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.
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.
The ASSESS project is a collaborative project that develops test procedures for pre-crash safety systems like Automatic Emergency Braking (AEB). One key criterion for the effectiveness of e.g. AEB is reduction in collision speed compared to baseline scenarios without AEB. The speed reduction for a given system can only be determined in real world tests that will end with a collision. Soft targets that are crashable up to velocities of 80 km/h are state of the art for these assessments, but ordinary balloon cars are usually stationary targets. The ASSESS project goes one step further and defines scenarios with moving targets. These scenarios define vehicle speeds of up to 100 km/h, different collision scenarios and relative collision speeds of up to 80km/h. This paper describes the development of a propulsion system for a soft target that aims to be used with these demanding scenario specifications. The Federal Highway Research Institute- (BASt-) approach to move the target is a self-driving small cart. The cart is controlled either by a driver (open-loop control via remote-control) or by a computer (closed-loop control). Its weight is limited to achieve a good crashability without damages to the test vehicle. To the extent of our knowledge BASt- approach is unique in this field (other carts cannot move at such high velocities or are not crashable). This paper describes in detail the challenges and solutions that were found both for the mechanical construction and the implementation of the control and safety system. One example for the mechanical challenges is e.g. the position of the vehicle- center of gravity (CG). An optimum compromise had to be found between a low CG oriented to the front of the vehicle (good for driveability) and a high CG oriented to the rear of the vehicle (good for crashability). The soft target itself which is also developed within the ASSESS project will not be covered in detail as this is work of a project partner. Publications on this will follow. The paper also shows first test results, describes current limitations and gives an outlook. It is expected that the presented test tools for AEB and other pre-crash safety systems is introduced in the future into consumer testing (NCAP) as well as regulatory testing.
Die Level kontinuierlicher Fahrzeugautomatisierung sind unter Fahrerassistenzexperten weithin bekannt und erleichtern das Verständnis. Sie können aber nicht Fahrzeugautomatisierung insgesamt zufriedenstellend beschreiben: Insbesondere temporär intervenierende Funktionen, die in unfallnahen Situationen eingreifen, können offensichtlich nicht nach dem Level kontinuierlicher Fahrzeugautomatisierung beschrieben werden. Diese beschreiben nämlich die zunehmende Aufgabenverlagerung vom Fahrer zur maschinellen Steuerung bei zunehmendem Automatisierungsgrad. Notbremsfunktionen, beispielsweise, sind offensichtlich diskontinuierlich und nehmen zugleich auf intensive Weise Einfluss auf die Fahrzeugsteuerung. Sie lassen sich gerade nicht sinnvoll nach dem Level kontinuierlicher Fahrzeugautomatisierung beschrieben. Das Ergebnis kann indes nicht zufriedenstellen. Die fehlende Sichtbarkeit dieser Funktionen wird ihrer Bedeutung für die Verkehrssicherheit nicht gerecht. Daher wird im Beitrag, um ein vollständiges Bild der Fahrzeugautomatisierung zu erlangen, ein umfassender Ansatz zur Beschreibung verfolgt, der sich auf oberster Ebene nach Wirkweise unterscheidet. Auf dieser Basis lassen sich sowohl informierende und warnende Funktionen als auch solche, die nur temporär in unfallgeneigten Situationen intervenieren, im Detail beschrieben. Das ermöglicht es, eine eigenständige Klassifikation für unfallgeneigte Situationen zu erstellen; dies kann für diese wichtigen Funktionen die eigenständige Sichtbarkeit herstellen, die ihrer Bedeutung gerecht wird.
Die Level kontinuierlicher Fahrzeugautomatisierung sind unter Fahrerassistenzexperten weithin bekannt und erleichtern das Verständnis. Sie können aber nicht Fahrzeugautomatisierung insgesamt zufriedenstellend beschreiben: Insbesondere temporär intervenierende Funktionen, die in unfallnahen Situationen eingreifen, können offensichtlich nicht nach dem Level kontinuierlicher Fahrzeugautomatisierung beschrieben werden. Diese beschreiben nämlich die zunehmende Aufgabenverlagerung vom Fahrer zur maschinellen Steuerung bei zunehmendem Automatisierungsgrad. Notbremsfunktionen, beispielsweise, sind offensichtlich diskontinuierlich und nehmen zugleich auf intensive Weise Einfluss auf die Fahrzeugsteuerung. Sie lassen sich gerade nicht sinnvoll nach dem Level kontinuierlicher Fahrzeugautomatisierung beschreiben. Das Ergebnis kann indes nicht zufriedenstellen: Die fehlende Sichtbarkeit dieser Funktionen wird ihrer Bedeutung für die Verkehrssicherheit nicht gerecht. Daher wird hier, um ein vollständiges Bild der Fahrzeugautomatisierung zu erlangen, ein umfassender Ansatz zur Beschreibung verfolgt, der auf oberster Ebene nach Wirkweise unterscheidet. Auf dieser Basis lassen sich sowohl informierende und warnende Funktionen als auch solche, die nur temporär in unfallgeneigten Situationen intervenieren, im Detail beschreiben. Das ermöglicht es, eine eigenständige Klassifikation für unfallgeneigte Situationen zu erstellen. Dies kann für diese wichtigen Funktionen die eigenständige Sichtbarkeit herstellen, die ihrer Bedeutung gerecht wird.
Since its beginning in 1999, the German In-Depth Accident Study (GIDAS) evolved into the presumably leading representative road traffic accident investigation in Europe, based on the work started in Hanover in 1973. The detailed and comprehensive description of traffic accidents forms an essential basis for vehicle safety research. Due to the ongoing extension of demands of researchers, there is a continuous progress in the techniques and systematic of accident investigation within GIDAS. This paper presents some of the most important developments over the last years. Primary vehicle safety systems are expected to have a significant and increasing influence on reducing accidents. GIDAS therefore began to include and collect active safety parameters as new variables from the year 2005 onwards. This will facilitate to assess the impact of present and future active safety measures. A new system to analyse causation factors of traffic accidents, called ACASS, was implemented in GIDAS in the year 2008. The whole process of data handling was optimised. Since 2005 the on-scene data acquisition is completely conducted with mobile tablet PCs. Comprehensive plausibility checks assure a high data quality. Multi-language codebooks are automatically generated from the database structure itself and interfaces ensure the connection to various database management systems. Members of the consortium can download database and codebook, and synchronize half a terabyte of photographic documentation through a secured online access. With the introduction of the AIS 2005 in the year 2006, some medical categorizations have been revised. To ensure the correct assignment of AIS codes to specific injuries an application based on a diagnostic dictionary was developed. Furthermore a coding tool for the AO classification was introduced. All these enhancements enable GIDAS to be up to date for future research questions.
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.