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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.
Many safety-relevant tasks in control or diagnostics require binary choices such as "conflict versus separation" in air traffic control, "normal versus pathological" when interpreting x-ray pictures, or "permitted versus forbidden" when inspecting airport security scans. Deciders often are uncertain, but nevertheless required to decide between two alternatives, that is, they have not only to decide upon an action, but also about the admissible level of uncertainty. If the accepted level of judgment certainty is not taken into account, the sequence of decisions does not capture the full picture of the underlying decision process. Differences in judgment certainty are relevant, because they reflect not only the adequacy of the human-machine interface that is evaluated, but also the differences in expertise of the decider and the requirements of the actual situation or task. Therefore, capturing both judgment certainty and discrimination performance is essential. A comparison of different human-machine-interfaces (for air traffic control) is used to illustrate a methodological approach, which allows for integrated analyses of decision processes based on receiver-operator-characteristics and practical guidelines for the evaluation of human-machine-interfaces for safety-relevant operation procedures are provided.
Do learner gain sufficient braking capabilities at the end of education for collision avoidance?
(2013)
The paper describes a test design to evaluate the braking behaviour in the course of the driver education. The results show that the braking capabilities increased during the driver education and the learning effects are the same for males and females. The evaluation limit is set to 6 m/s-². At the beginning of education, 50% of the drivers do not reach this limit, although the driver education car is equipped with an emergency brake assist, which is regularly installed in all vehicles since 2009. After the education, 100% of the drivers can reach the limit. The results are mapped to a collision avoidance scenario.
In 2011 399 cyclists died in road accidents in Germany and another 76.351 cyclists have been injured. Since 2000 the number of injured or fatally injured cyclists remained on the same high level. Cyclists form 19% of all casualties in German road traffic, although the modal split rate of this transport mode in 2008 was only 10% of trips and resp. 3% of kilometres per day. The high proportion of fatally and seriously injured shows the high vulnerability of cyclists. The demographic shift towards an older population in Germany and the governmental recommendation of increased bicycle use as an ecological, economical and healthy alternative to other modes of transport lead to the assumption that bicycle use especially of elderly people will increase. Based on these facts about the German cyclists' situation a representative survey of 2.000 cyclists was conducted. Results display use patterns and accident involvement on a descriptive level. Overall 7.7% of cyclists report to have been involved in at least one road traffic accident within the last three years. The performed path model analysis reveals an acceptable model fit. Though the explained variance of accident involvement of the applied psychological factors was low, significant relations between several of these factors and especially risky behaviour could be found.
The number of road accidents in Portugal has decreased significantly in the last decades, however, this tendency is not similar in all types of transportation. In the most recent years and by European standards, Portugal is still one of the leading countries concerning the number of fatalities in Powered Two Wheelers (PTW) accidents. To this effect, the in-depth investigation of PTW accidents is crucial and so, a thorough statistical analysis concerning the main factors influencing PTW riders injury severity accidents was undertaken regarding the 2007-2010 period in the National Road Safety Authority (ANSR) injured riders database using the software SPSS. In addition, to determine the importance of absent factors in the database analysis, such as velocity, a set of 53 real accidents involving PTW were also investigated and computationally reconstructed using the software PC-Crash. Lateral collisions between a motorcycle, its rider and the side of three different passenger cars were also simulated, varying the motorcycle impact angle and velocity in order to estimate the PTW deformation energy and the rider- injuries, as this accident configuration stands out in terms of frequency and even severity. The results of this detailed study are presented.
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.
Learner drivers are readied for their participation in motorised transport within the framework of specific, internationally-diverse preparation systems. These systems are historically developed and are characterised by country-specific economic, infrastructural, legal and cultural circumstances. With the aid of functionally-distinguishable teaching and learning methods as well as testing methods, a conceptual framework was created whilst drawing upon research-methodological approaches of comparative political science as well as teaching and learning principles that facilitated a description and analysis of the systems for a comparative observation to be performed. The systems for the preparation of learner drivers in 44 countries are illustrated in the report. The descriptions are based upon surveys of experts from various institutions (ministries of transport, driving instructor associations, testing organisations) as well as upon literary and Internet research. Alongside European countries with a traditional formal driver training, \"Graduated Driver Licensing\" systems that are primarily encountered in English-speaking countries were also taken into account when selecting the countries. They are characterised by the guarantee of gaining comprehensive driving experience under reduced risk conditions in the form of supervised driving prior to the start of independent driving as well as protective special rules for learner drivers whilst gaining further driving experience during the initial phase of independent driving. The results enable a detailed insight into the country-specific structure of learner driver preparation with the components of the formal driver training in driving schools, informal teaching and learning methods such as supervised driving, the driving tests that must be successfully completed as well as legal frameworks and quality assurance measures. The functionality of system components and architectures shall be discussed against the backdrop of evaluation findings regarding the effectiveness in terms of safety.
The European CASPER (Child Advanced Safety Project for European Roads) project studying car child safety includes a sociological approach in order to have a better understanding of the behaviour of parents driving children under 12 years old. A questionnaire was distributed via the internet in Europe with 998 parents (representing 1638 children) from 22 European countries responding. The results inform on the way parents secure their children during a car trip. Many parents did not control how their children were installed in the child restraint system (CRS). A toddler was more likely to travel into a child seat than an older child was. Regarding misuse situations, an important part of the participants did not think that they could make mistakes when fixing the child seat to the car (26%) or when placing the child into the seat (39%). This leaves an important field of action especially by communication via different media and in the CRS sale outlets.
Cycling supports the independence and health of the aging population. However, elderly cyclists have an increased injury risk. The majority of injured cyclists is victim of a single-sided accident, an accident in which there is no other party involved. The aim of the project "Safe and Aware on the bicycle" is to develop guidelines for an advisory system that is useful in preventing single-sided accidents. This system is able to support the elderly cyclist; enabling the cyclist to timely adapt his cycling behaviour and improve cycling safety and comfort. For the development of such advisory system the causes of singles accidents and the wishes of the elderly cyclist must be known. First step to obtain this insight was a literature survey and an GIDAS research. Unfortunately accidentology research with GIDAS did not give the full understanding of the pre-crash situations and (especially the behaviour related) factors leading to the accident. The second step was consultation of elderly cyclist through a questionnaire (n=800), in-depth interviews (n=12) and focus group sessions (n=15). This offered complementary information and a much better understanding of the behavioural aspects. Results concern the behaviour in traffic and identify specific physical (i.e. problems looking backwards over the shoulder) and mental issues. Furthermore, the needs and wishes for support in specific cycling situations were identified. In conclusion; The GIDAS results together with the information obtained contacting the elderly cyclists enabled setting up requirements for an advisory system, which is useful in preventing single-sided accidents.
This study analyses no.39 cases in which n.41 motorcyclists were fatally injured, or 36% of total motorcycle fatalities in Northern Ireland between 2004 and 2010 (n.114). There were n.17 cases (43.6%) where the actions of another vehicle driver caused the collision, in thirteen of these cases the motorcycles had their lights switched on. The remaining n.22 collisions (56.4%) were due to the actions of the motorcyclist. In the approach to the collision scene, there were n.13 cases (31.7%) in which the approach was a right hand bend and in n.8 (19.5%) cases, the approach was a left hand bend. In the remaining n.18 (43.9%) cases, the approach was a straight road. Of the n.17 (41.4%) motorcycles that slid after falling, n.10 (24.4%) fell onto their right side and the remaining n.7 (17.1%) fell onto their left side. The information from this study identifies primary and contributory causes of motorcycle collisions.