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The term driver assistance systems in the chapter title shall be understood to include vehicle automation. This chapter starts with a homogeneous and consistent classification and nomenclature of all kinds of driver assistance systems known and under discussion today (including vehicle automation). It thereby builds upon familiar classification schemes by the German Federal Highway Research Institute (BASt) and the standardization body SAE international. Detailed evaluation of the German legal situation for driver assistance systems and vehicle automation is provided in the following Sect. 2. In Sect. 3, an overview is given on the legal system in the US to reveal aspects relevant for vehicle automation. This is intended as initial information for those not acquainted to the US legal system which has been the first to regulate automation in several federal states. Finally, in Sect. 4, the current rating scheme of the European New Car Assessment Programme (EuroNCAP) is presented in comparison to legal instruments. The model of a consumer protection based approach proves to be a flexible instrument with great advantages in promoting new technologies. Technical vehicle regulations on the other hand rule minimum requirements. Both approaches are needed to achieve maximum vehicle safety.
The "Autonomous driving on the roads of the future: Villa Ladenburg Project" by the Daimler und Benz-Stiftung looks at degrees of automation that will only become technically feasible in the distant future. The treatment of the legal questions in the present chapter therefore draws heavily on the description of the use cases, which begin to provide a concrete basis for evaluating individual issues. Uncertainties in predicting future technical developments can be expected and will have a commensurate impact on the assumptions and conclusions of this chapter. The resulting uncertainty is nevertheless unavoidable if one wants to press ahead with important interrelated issues. This chapter is therefore intended as a contribution to the debate on societal aspects of automated driving from a legal perspective and not as a legalistic evaluation of the subject. The consideration will largely focus on the situation within the context of current German law. The legal views expressed are those of the author and are based on nine years of experience in the field of driver assistance system research. In terms of the underlying conception presented here, the societal dimension of autonomous vehicles addressed in the present project goes well beyond the adjustments to the legal framework currently being called for in Germany. The following will examine the question of "societal acceptance" in the context of the legal questions raised by autonomous vehicles. This line of investigation is not immediately obvious and covers only a segment of the more thoroughgoing focus of the project.
To assess occupant safety in a crash test, criteria associating the measurements made with a crash test dummy to injury risk are necessary. To enable better protection of elderly car occupants the objective of this study was to develop improved thoracic injury criteria for the THOR average male dummy. The development of these criteria is usually based on matched dummy and Post Mortem Human Surrogate (PMHS) tests by relating the obtained PMHS injuries to dummy measurements. This approach is limited, since only a few tests in relevant loading conditions are available and any new test series requires high efforts to be performed due to their complexity and costs. To overcome these limitations and to extend the dataset for the development of THOR dummy chest injury risk functions a simulation-based approach was applied within the EC funded project SENIORS (Safety Enhanced Innovations For older Road Users - www.seniors-project.eu). Within this study frontal impact sled simulations with an FE model representing a THOR average male dummy and matched simulations with a human body model (HBM) representing an elderly car occupant were carried out. The HBM used for this study was the THUMS TUC with modified rib cage, which was developed in SENIORS. The modifications included material and geometry changes aiming to represent an elderly car occupant. The rib fracture risk was predicted with a deterministic approach whereby a rib was considered broken when the strain exceeded an age-dependent threshold. Furthermore, a probabilistic method was applied to predict the probability of sustaining a certain number of fractured ribs by comparing local strain values to the distribution of cortical rib ultimate strain. By relating the output from the HBM simulations to a multi-point dummy injury criterion, injury risk curves were calculated by statistical methods. The wide range of loading conditions resulted in the desired range of injuries and THOR ATD output. The number of fractured ribs predicted by the HBM based on the deterministic prediction method was between 0 and 15. Furthermore, the probabilistic risk for the number of rib fractures equal or greater than two, three or four was calculated for each load case. The THOR rib deflection criterion Rmax was between 18 and 56 mm, while the PC Score was in the range of 2.5 to 7.2. Based on these outputs new risk curves for the predicted deterministic (AIS2+/3+) and probabilistic injury risk were calculated. The new curves show reasonable shapes and significance that provide trust in their application. The new risk curves are compared to risk curves obtained by traditional methods. The results were found similar to previous injury risk functions based on physical tests, which gives a high level of confidence in the chosen approach. The simulation-based approach of matched ATD model vs. HBM simulation was successfully applied. Rmax curves show a slightly better quality than the injury criterion PC Score.
At the end of each year, the German Federal Highway Research Institute (BASt) publishes the road safety balance of the closing year. They describe the development of accident and casualty numbers disaggregated by road user types, age groups, type of road and the consequences of the accidents. However, at the time of publishing, these series are only available for the first eight or nine months of the year. To make the balance for the whole year, the last three or four months are forecasted. The objective of this study was to improve the accuracy of these forecasts through structural time-series models that include effects of meteorological conditions. The results show that, compared to the earlier heuristic approach, root mean squared errors are reduced by up to 55% and only two out of the 27 different data series yield a modest rise of prediction errors. With the exception of four data series, prediction accuracies also clearly improve incorporating meteorological data in the analysis. We conclude that our approach provides a valid alternative to provide input to policy makers in Germany.
Annual report 2018
(2019)
With this annual report, BASt is giving the 2018 research year a face. A part of its work is present and in the focus of the public, for example the field test of long trucks, the unique research area duraBASt at the motorway junction Cologne East or the innovative measuring vehicle MESAS for the condition assessment of road surfaces in flowing traffic. A large part of the BASt's work is less effective in attracting public attention but no less important, such as the essential updating of regulations, the testing and approval of products and processes, and the compilation of forecasts and statistics. More than 50 employees report on their research activities and thus give an insight into the tasks of BASt with its core areas of vehicle technology, traffic safety, traffic engineering, road construction as well as bridge and civil engineering. Highlights as well as facts and figures in short and concise form complete the report.
Mobility is a central requirement for economic growth, employment and participation of each individual in social life. This basic principle of the BMVI (Federal Ministry of Transport and Digital Infrastructure) requires an intact and functional infrastructure. In a context of increasing investments over the next few years, it will be relevant to develop a network related systematic procedure to be part of the structural maintenance of the federal highway network. In the planning of maintenance measures, the knowledge about the state of structural performance and its long-term development is of central importance. In the following, a method is presented which allows the mechanically and statistically reliable assessment and prognosis of structural performance of concrete pavements. In addition, the application and procedure are applied to a case study.
In Germany, expenditure for the construction of new and maintenance of existing federal highways is currently at a record level of EUR 8 billion per year. In connection with the planned infrastructure policy reforms it is necessary to further develop the planning tools for dimensioning and substance assessment of road structures in order to increase the efficiency of construction measures. The stress caused by traffic is of central importance here. Since unevenness in the road surface has a significant influence on the dynamic part of the wheel load, dynamic effects must be explicitly taken into account. As a result, increasing unevenness can lead to higher dynamic loads and, in the context of a corresponding number of wheel rollovers, to disproportionate damage to the road structure. In general, a shock factor is taken into account during dimensioning, which is to be considered as a function of vehicle suspension, load, speed and evenness. This approach is not sufficient for concrete road structures executed as slabs. In the normal case, only the periodically occurring individual event of a transverse contraction joint, superimposed by irreversible and/or temporary slab deformations, can lead to a significant increase in the dynamic wheel load. In addition, the existing slab deformations are tied to many boundary conditions and can therefore vary greatly in their characteristics. For the further development of methods for dimensioning and residual substance assessment with regard to their accuracy, a three-dimensional slab-specific view of the road surface is therefore appropriate. In this paper, a suitable measuring method for three-dimensional surface laser scanning and an algorithm for the classification of slab deformations are presented.
Although cruise control (CC) is available for most cars, no studies have been found which examine how this automation system influences driving behaviour. However, a relatively large number of studies have examined adaptive cruise control (ACC) which compared to CC includes also a distance control. Besides positive effects with regard to a better compliance to speed limits, there are also indications of smaller distances to lead vehicles and slower responses in situations that require immediate braking. Similar effects can be expected for CC as this system takes over longitudinal control as well. To test this hypothesis, a simulator study was conducted at the German Aerospace Center. Twenty-two participants drove different routes (highway and motorway) under three different conditions (assisted by ACC, CC and manual driving without any system). Different driving scenarios were examined including a secondary task condition. On the one hand, both systems lead to lower maximum velocities and less speed limit violations. There was no indication that drivers shift more of their attention towards secondary tasks when driving with CC or ACC. However, there were delayed driver reactions in critical situations, e.g., in a narrow curve or a fog bank. These results give rise to some caution regarding the safety effects of these systems, especially if in the future their range of functionality (e.g., ACC Stop-and-Go) is further increased.
Knowledge of material properties is of great importance when developing new types of concrete and construction methods for road building, and for quality control and quality assurance. Physical material characteristics are likewise the basis for dimensioning and assessing the residual substance of concrete pavements. One relevant characteristic when examining thermally induced stress and deformation is the coefficient of thermal expansion (CTE) of concrete. This indicator, for example, significantly influences the longitudinal expansion of the pavement system as well as the degree of curling of slabs and joint movements. Extensive tests were conducted during the technical engineering assessment of the structural substance of concrete pavements in the German motorway network, including tests to determine the CTE of existing types of concrete. Because no standardised procedure currently exists in Germany for using tests to determine the CTE of concrete, the initial task was to develop a suitable test procedure from a road-building perspective, taking consideration of the national prevailing structural conditions. This article presents the results of selected status analyses, in which the CTE was determined for a total of 656 individual samples. The values calculated for the top and bottom drilled core layer are in the range 8.9 – 13.2 x 10-6/K, whereby the average CTE assumes a value of 10.7 x 10-6/K. The deviations of the CTEs from the bottom and top drilled core layer are in principle significantly below the limitation to a maximum of 2.50 x 10-6/K recommended in literature.
The Intersection 2020 project was initiated to develop a test procedure for Automatic Emergency Braking systems in intersection car-to-car scenarios to be transferred to Euro NCAP. The project aims to address current road traffic accidents on European roads and therefore sets a priority of the identification of the most important car-to-car accidents and Use Cases. Taking into account technological and practical limitations, Test Scenarios are derived from the Use Cases in a later stage of the project. This paper presents parts of a larger study and provides an overview of common car-to-vehicle(at least four wheels) collision types at junctions in Europe and specifies seven Accident Scenarios from which the three scenarios “Straight Crossing Paths (SCP)”, “Left Turn Across Path – Opposite Direction Conflict (LTAP/OD)” and “Left Turn Across Path – Lateral Direction (LTAP/LD)” are most important due to their high relevance regarding severe car-to-car accidents. Technical details about crash parameters such as collision and initial speeds are delivered. The analysis work performed is input for the definition and selection of the Use Cases as well as for the project’s benefit estimation. The numbers of accidents and fatalities in accidents at intersections involving a passenger car were shown per intersection type. In both statistics, it was found that accidents at crossroads and T- or staggered junctions are of highest relevance, followed by roundabouts. Focusing on accidents at intersections between one passenger car and another road user shows that around one-third of all accidents and related fatalities could have been assigned to car-to-PTW accidents and one-fifth of all accidents and fatalities to car-to-car accidents. Regarding car-to-car accidents with at least serious injury outcome 38% out of 34,489 car-to-car accidents happened at intersections. These figures correspond to 18% of the fatalities (4,236 fatalities in total). Considering all intersection types, around half of all related accidents happened in urban environments whereas this number decreased to one-third of all fatalities. Further, the proportion of road fatalities per country occurring at intersections varies widely across the EU. Also, there are proportionately more fatalities in daylight or twilight conditions at junctions. Use Cases are supposed to be derived from Accident Scenarios and by adding detailed information for example about the road layout, right-of-way and the vehicle trajectories prior to the collision. Instead of applying cluster algorithms to the accident data, a pragmatic approach was finally preferred to create them. Note: Use Cases serve as an intermediate step between the Accident Scenarios and the Test Scenarios which describe the actual testing conditions. Finally, 74 Use Cases were identified. This large number indicates the complexity of intersection crashes due to the combination of several parameters.