83 Unfall und Mensch
Motorcycling is a fascinating kind of transportation. While the riders' direct exposure to the environment and the unique driving dynamics are essential to this fascination, they both cause a risk potential which is several times higher than when driving a car. This chapter gives a detailed introduction to the fundamentals of motorcycle dynamics and shows how its peculiarities and limitations place high demands on the layout of dynamics control systems, especially when cornering. The basic principles of dynamic stabilization and directional control are addressed along with four characteristic modes of instability (capsize, wobble, weave, and kickback). Special attention is given to the challenges of braking (brake force distribution, dynamic over-braking, kinematic instability, and brake steer torque induced righting behavior). It is explained how these challenges are addressed by state-of-the-art brake, traction, and suspension control systems in terms of system layout and principles of function. It is illustrated how the integration of additional sensors " essentially roll angle assessment " enhances the cornering performance in all three categories, fostering a trend to higher system integration levels. An outlook on potential future control systems shows exemplarily how the undesired righting behavior when braking in curves can be controlled, e.g., by means of a so-called brake steer torque avoidance mechanism (BSTAM), forming the basis for predictive brake assist (PBA) or even autonomous emergency braking (AEB). Finally, the very limited potential of brake and chassis control to stabilize yaw and roll motion during unbraked cornering accidents is regarded, closing with a promising glance at roll stabilization through a pair of gimbaled gyroscopes.
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.
Fahrerassistenzsysteme unterstützen den Fahrer durch Information, Warnung oder Eingriff in die Fahrzeugsteuerung. Zukünftige Systeme zur Kollisionsvermeidung oder bis hin zum automatischen Fahren werden den Fahrer immer mehr entlasten. Wegen ihres erheblichen Potenzials zur Verbesserung vor allem der aktiven Sicherheit können die Fahrerassistenzsysteme wesentlich zur Vermeidung von Unfällen oder der Reduktion von Unfallfolgen beitragen. Andererseits können Fahrerassistenzsysteme aufgrund des komplexen Systemzusammenhangs zwischen Fahrer, Fahrzeug und Umwelt negative Auswirkungen auf das Verkehrsgeschehen haben. Dieser Aspekt muss schon bei der Entwicklung der Systeme berücksichtigt werden. Die Empfehlung der Europäischen Kommission zur Gestaltung von Informations- und Kommunikationssystemen gibt dazu Leitlinien vor. Die BASt ist mit der wissenschaftlichen Begleitung der Thematik beauftragt. Die Industrie ist dazu aufgefordert darzulegen, welche Maßnahmen zur Einhaltung der Grundsätze ergriffen worden sind beziehungsweise werden. Um das Potenzial der Fahrerassistenzsysteme zur Steigerung der Verkehrssicherheit voll ausschöpfen zu können, sind weiterhin Forschungsarbeiten zur Entwicklung neuer und zur Weiterentwicklung bestehender Systeme unter Berücksichtigung der Gestaltungsanforderungen für sichere Assistenzsysteme durchzuführen.
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.
The strong prevalence of human error as a crash causation factor in motorcycle accidents calls for countermeasures that help tackling this issue. Advanced rider assistance systems pursue this goal, providing the riders with support and thus contributing to the prevention of crashes. However, the systems can only enhance riding safety if the riders use them. For this reason, acceptance is a decisive aspect to be considered in the development process of such systems. In order to be able to improve behavioural acceptance, the factors that influence the intention to use the system need to be identified. This paper examines the particularities of motorcycle riding and the characteristics of this user group that should be considered when predicting the acceptance of advanced rider assistance systems. Founded on theories predicting behavioural intention, the acceptance of technologies and the acceptance of driver support systems, a model on the acceptance of advanced rider assistance systems is proposed, including the perceived safety when riding without support, the interface design and the social norm as determinants of the usage intention. Since actual usage cannot be measured in the development stage of the systems, the willingness to have the system installed on the own motorcycle and the willingness to pay for the system are analyzed, constituting relevant conditions that allow for actual usage at a later stage. Its validation with the results from user tests on four advanced rider assistance systems allows confirming the social norm and the interface design as powerful predictors of the acceptance of ARAS, while the extent of perceived safety when riding without support did not have any predictive value in the present study.
Der Beitrag gibt den Inhalt eines Vortrags auf dem Forum des Deutschen Verkehrssicherheitsrats (DVR) 2006 in München wieder. Anhand der folgenden 4 Statements wird eine Einschätzung des möglichen Sicherheitsgewinns durch bisher entwickelte beziehungsweise in der Entwicklung befindliche Fahrerassistenzsysteme vorgenommen: 1) Ein hohes Unfallvermeidungspotenzial besteht für die Funktionen "Kreuzungsassistenz", "Unterstützung bei der Wahl einer situationsangepassten Geschwindigkeit" und "Kollisionswarnung/-vermeidung im Längsverkehr". 2) Ungefähr ein Drittel aller Unfälle kann nur durch aktiv eingreifende Fahrerassistenzsysteme verhindert werden. 3) Die erfolgversprechendsten Assistenzfunktionen sind äußerst komplex, bedürfen noch einigen Entwicklungsaufwands und ihrer Einführung stehen zum Teil erhebliche rechtliche Hürden gegenüber. 4) Ein hohes Sicherheitspotenzial bedeutet nicht unbedingt auch einen tatsächlich hohen Sicherheitsgewinn. Abschließend wird dargelegt, welche Maßnahmen dazu beitragen könnten, die Sicherheitspotenziale von Fahrerassistenzsystemen zu erschließen.
Unfälle im Straßenverkehr sind in aller Regel Konsequenzen normalen Fahrverhaltens, das an eine bestimmte Situation nicht angepasst war und daher zum Unfall beigetragen hat. Zur Klassifikation dieses mutmaßlich fehlerbehafteten Verhaltens wurde im hier berichteten Projekt eine Taxonomie entwickelt. Sie dient der Klassifizierung von Fahrerfehlverhalten und integriert Aspekte des menschlichen Informationsverarbeitungsprozesses sowie die drei Fehlertypen von RASMUSSEN (1983). Als Bestimmungsstücke beinhaltet die Taxonomie Fehlertypen (regel-/wissens-/fertigkeitsbasiert) und Entscheidungsknoten mit Fragen, deren Beantwortung den Analysten zum jeweiligen Fehler führt. Zusammengefasst bietet die erarbeitete Taxonomie eine breite Anwendbarkeit für die Klassifikation von Fahrfehlern und fehlerfreiem Verhalten bei Manövern, kritischen Situationen bis hin zu Beinaheunfällen oder Unfällen, z. B. zur Harmonisierung der (Video-)Auswertung von FOT- und NDS-Datensätzen oder für In-Depth-Unfallerhebungen. Die Taxonomie wird komplementiert durch eine Übersicht über Fehlervorläuferbedingungen, die im Sinne von Genotypen (HOLLNAGEL 1998) in ihrer jeweiligen Ausprägung auslösende und begünstigende Bedingungen für Fehler, Beinaheunfälle und Unfälle darstellen. Die Übersicht ist als erweiterbares strukturierendes Dokument zu sehen, welches je nach wissenschaftlichen Erkenntnissen verändert werden kann. Gemeinsam mit der Taxonomie bildet sie die Basis für die Ableitung von Fahrerassistenzbedarf und andere Maßnahmen, zur Generierung von Hypothesen und zur strukturierten Sammlung von Studienergebnissen. Der vorliegende Bericht adressiert die FOT- und NDS-Community sowie allgemein verkehrspsychologisch-wissenschaftlich Interessierte. In acht Kapiteln widmet er sich den Arbeitsschritten und Ergebnissen der Taxonomieentwicklung.
The Swedish National Road Administration (SNRA), the Japanese Automobile Research Institute (JARI) and the Federal Highway Research Institute (BASt) are co-operating in the International Harmonized Research Activities on Intelligent Transportation Systems (IHRA-ITS). Under this umbrella a joint study was conducted. The overall objective of this study was to contribute to the definition and validation of a "battery of tools" which enables a prediction and an assessment of changes in driver workload due to the use of in-vehicle information systems (IVIS) while driving. In this sense \"validation\" means to produce empirical evidence from which it can be concluded that these methods reliably discriminate between IVIS which differ in terms of relevant features of the HMI-design. Additionally these methods should also be sensitive to the task demands imposed on the driver by the traffic situation and their interactions with HMI-design. To achieve these goals experimental validation studies (on-road and in the simulator) were performed in Sweden, Germany and Japan. As a common element these studies focused on the secondary task methodology as an approach to the study of driver workload. In a joint German-Swedish on-road study the Peripheral Detection Task (PDT) was assessed with respect to its sensitivity to the complexity of traffic situations and effects of different types of navigation systems. Results show that the PDT performance of both the German and the Swedish subjects reflects the task demands of the traffic situations better than those of the IVIS. However, alternative explanations are possible which will be examined by further analyses. Results of this study are supplemented by the Japanese study where informational demands induced by various traffic situations were analysed by using a simple arithmetic task as a secondary task. Results of this study show that relatively large task demands can be expected even from simple traffic situations.
Powered Two Wheelers (PTWs) accidents constitute one of the road safety problems in Europe. PTWs fatalities represent 22% at EU level in 2006, having increased during last years, representing an opposite trend compared to other road users" figures. In order to reduce these figures it is necessary to investigate the accident causation mechanisms from different points of view (e.g.: human factor, vehicle characteristics, influence of the environment, type of accident). SAFERIDER project ("Advanced telematics for enhancing the SAFEty and comfort of motorcycle RIDERs", under the European Commission "7th Framework Program") has investigated PTW accident mechanisms through literature review and statistical analyses of National and In-depth accident databases; detecting and describing all the possible PTW's accident configurations where the implementation of ADAS (Advanced Driver Assistance Systems) and IVIS (In-Vehicle Information Systems) could contribute to avoid an accident or mitigate its severity. DIANA, the Spanish in-depth database developed by CIDAUT, has been analyzed for that purpose. DIANA comprises of accident investigation teams, in close cooperation with police forces, medical services, forensic surgeons, garages and scrap yards. An important innovation is the fact that before injured people arrive to hospitals, photographs and explanations about the possible accident injury mechanisms are sent to the respective hospitals (via 3G GPRS technology). By this, additional information to medical staff can be provided in order to predict in advance possible internal injuries and select the best medical treatment. This methodology is presented in this paper. On the other hand, the main results (corresponding to road, rider and PTW characteristics; pre and post-accident manoeuvres; road layout; rider behaviour; impact points; accident causations;...) from the analyses of the PTW accidents used for SAFERIDER are shown. Only accident types relevant to ADAS and IVIS devices have been considered.
The BASt-project group "Legal consequences of an increase in vehicle automation" has identified, defined and consequently compiled different automation degrees beyond Driver Assistance Systems. These are partial-, high- and full automation. According to German regulatory law, i.e. the German Road Traffic Code, it has been identified that the distinctive feature of different degrees of automation is the permanent attention of the driver to the task of driving as well as the constant availability of control over the vehicle. Partial automation meets these requirements. The absence of the driver- concentration to the traffic situation and to execute control is in conflict with the use of higher degrees of vehicle automation (i.e. high and full automation). Their use is therefore presently not compatible with German law, as the human driver would violate his obligations stipulated in the Road Traffic Code when fully relying on the degree of automation these systems would offer. As far as higher degrees of automation imply free-hand driving, further research in terms of behavioural psychology is required to determine whether this hinders the driver in the execution of permanent caution as required by sec. 1 para. 1 StVO (German Road Traffic Code). As far as liabilities according to the StVG (German Road Traffic Act) are concerned, the presently reversed burden of proof on the driver within sec. 18 para. 1 S. 2 StVG might no longer be considered adequate in case of higher degrees of automation that allow the driver to draw attention from the task of driving (in case making such use of a system would be permitted by the German Road Traffic Code). The liability of the vehicle "keeper", according to the German Road Traffic Act, would remain applicable to all defined degrees of automation. In case of partial automation, the use of systems according to their limits is accentuated. The range of use that remains within the intended must be defined closely and unmistakeably. Affecting user expectations properly can immensely help to maintain safe use, in case design-measures that exclude overreliance are not available according to the current state of the art (otherwise such measures would have to be applied primarily). In case of the higher degrees of automation that no longer require the driver- permanent attention (under the presupposition their use would be permitted by the German Road Traffic Code), every accident potentially bears the risk to cause product liability on the side of the manufacturer. Liability of the manufacturer might only be excluded in case of a breach of traffic rules by a third party or in case of overriding/ oversteering by the driver. In so far aspects of German procedural law and the burden of proof are of great importance. The project group has identified the need for further continuative research not only to advance legal assessment but also to improve basic technical conditions for vehicle automation as well as product reliability.