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Institut
- Sonstige (310) (entfernen)
Die Kommunikation zwischen Fahrzeugen und Infrastrukturkomponenten steht vor der Einführung in Europa. Dieser Beitrag stellt zunächst die grundlegende Technologie zum Austausch von Nachrichten und ein Pilotprojekt vor, innerhalb dessen eine sichere Fahrzeug-zu-Infrastruktur Kommunikation konzipiert und praktisch erprobt wird. Darauf aufbauend werden Sicherheitsfragestellungen von Infrastrukturkomponenten beleuchtet und ein Einblick in das Schlüsselmanagement sowohl für Fahrzeuge als auch Infrastrukturkomponenten gegeben.
Im vorliegenden Heft sind für alle Zählstellen auf den "Freien Strecken" der Bundesfernstraßen - Bundesautobahnen und Bundesstraßen - die wesentlichen Kenngrößen der Straßenverkehrszählung 1975 in verdichteter Form zusammengestellt. Die Ergebnisse sind je Land nach Autobahnen und Bundesstraßen getrennt aufgelistet. Innerhalb der beiden Straßenklassen sind die Zählstellen nach Straßenzügen mit gleicher Straßen-Nummer sortiert. Dabei entspricht die Sortierung der Zählstellen bei den Autobahnen einer geographischen Folge, während bei den Bundesstraßen die Ergebnisse innerhalb eines Straßenzuges nach aufsteigenden vierstelligen Zählstellen-Nummern sortiert sind. Falls eine Zählstellen-Nummer innerhalb eines Straßenzuges je Land mehrfach auftritt, kann die Kennziffer des Bauamts zur eindeutigen Identifikation benutzt werden. In den Ländern Baden-Württemberg und Bayern sind dagegen aufgrund des Numerierungssystems der Straßendatenbank gleiche Zählstellen-Nummern je Land generell mehrfach vorhanden, so dass hier zur eindeutigen Zuordnung die vierstellige Nummer des Kartenblatts der Topographischen Karte 1:25 000 (TK25) mit herangezogen werden muss. In den Ergebnistabellen und in der als Anlage beigefügten Karte der "Zählstellen auf Bundesautobahnen und Bundesstraßen" sind daher für diese Länder die Zählstellen-Nummern achtstellig - mit vierstelliger TK-Nummer - angegeben. In Ländern, in denen ebenfalls TK-Nummern bereits zugeordnet sind, wurden sie mit ausgedruckt, jedoch nicht zur Sortierung herangezogen. Eine weitere Anlage ist die "Karte der Verkehrsstärken auf Bundesautobahnen und Bundesstraßen" bei, auf der die DTV-Werte des Kfz-Verkehrs der Straßenverkehrszählung 1975 dargestellt sind.
Im Auftrag des Bundesministers für Verkehr fanden im Jahre 1975 auf allen Bundesfernstraßen - Bundesautobahnen und Bundesstraßen - manuelle Straßenverkehrszählungen statt. Sie wurden nach einheitlichen Richtlinien von den Straßenbauverwaltungen der Länder durchgeführt. Auch die Landes- bzw. Staatsstraßen und ein großer Teil der Kreisstraßen wurden von den Ländern oder Kreisen nach denselben Richtlinien erfasst. Damit liegen für den Bereich der Straßen des überörtlichen Verkehrs detaillierte Ergebnisse zu nahezu jedem Netzabschnitt vor. Straßen in Gemeindebaulast sind in diesen Zaehlungen nicht einbezogen. Die Methodik für die Erhebung und zur Hochrechnung der Kurzzeitdaten auf die für die Planung und Verkehrswirtschaft relevanten Zielgrößen wurde im Rahmen des Forschungsauftrags "Entwicklung verbesserter Zähl- und Auswertemethoden für umfassende Straßenverkehrszählungen auf allen klassifizierten Straßen des Bundesgebietes" weiterentwickelt. Grundlage der Hochrechnung bilden dabei die aktuellen Ergebnisse aus den Langzeitzählstellen. Im vorliegenden Heft sind in kurzer Form die wesentlichen Punkte des Erhebungsverfahrens, die Hochrechnungsmethodik sowie die Form der Ergebnisausgabe beschrieben. Die Hochrechnungsmethodik ist ergänzt durch ein erläuterndes Berechnungsbeispiel.
Road condition acquisition and assessment are the key to guarantee their permanent availability. In order to maintain a country's whole road network, millions of high-resolution images have to be analyzed annually. Currently, this requires cost and time excessive manual labor. We aim to automate this process to a high degree by applying deep neural networks. Such networks need a lot of data to be trained successfully, which are not publicly available at the moment. In this paper, we present the GAPs dataset, which is the first freely available pavement distress dataset of a size, large enough to train high-performing deep neural networks. It provides high quality images, recorded by a standardized process fulfilling German federal regulations, and detailed distress annotations. For the first time, this enables a fair comparison of research in this field. Furthermore, we present a first evaluation of the state of the art in pavement distress detection and an analysis of the effectiveness of state of the art regularization techniques on this dataset.
One main objective of the EU-Project SENIORS is to provide improved methods to assess thoracic injury risk to elderly occupants. In contribution to this task paired simulations with a THOR dummy model and human body model will be used to develop improved thoracic injury risk functions. The simulation results can provide data for injury criteria development in chest loading conditions that are underrepresented in PMHS test data sets that currently proposed risk functions are based on. To support this approach a new simplified generic but representative sled test fixture and CAE model for testing and simulation were developed. The parameter definition and evaluation of this sled test fixture and model is presented in this paper. The justification and definition of requirements for this test set-up was based on experience from earlier studies. Simple test fixtures like the gold standard sled fixture are easy to build and also to model in CAE, but provide too severe belt-only loading. On the other hand a vehicle buck including production components like airbag and seat is more representative, but difficult to model and to be replicated at a different laboratory. Furthermore some components might not be available for physical tests at later stage. The basis of the SENIORS generic sled test set-up is the gold standard fixture with a cable seat back and foot rest. No knee restraint was used. The seat pan design was modified including a seat ramp. The three-point belt system had a generic adjustable load limiter. A pre-inflated driver airbag assembly was developed for the test fixture. Results of THOR test and simulations in different configurations will be presented. The configurations include different deceleration pulses. Further parameter variations are related to the restraint system including belt geometry and load limiter levels. Additionally different settings of the generic airbag were evaluated. The test set-up was evaluated and optimized in tests with the THOR-M dummy in different test configurations. Belt restraint parameters like D-ring position and load limiter setting were modified to provide moderate chest loading to the occupant. This resulted in dummy readings more representative of the loading in a contemporary vehicle than most available PMHS sled tests reported in the literature. However, to achieve a loading configuration that exposes the occupant to even less severe loading comparable to modern vehicle restraints it might be necessary to further modify the test set-up. The new generic sled test set-up and a corresponding CAE model were developed and applied in tests and simulations with THOR. Within the SENIORS project with this test set-up also volunteer and PMHS as well as HBM simulations are performed, which will be reported in other publications. The test environment can contribute in future studies to the assessment of existing and new frontal impact dummies as well as dummy improvements and related instrumentation. The test set-up and model could also serve as a new standard test environment for PMHS and volunteer tests as well as HBM simulations.
The levels of continuous vehicle automation have become common knowledge. They facilitate overall understanding of the issue. Yet, continuous vehicle automation described therein does not cover "automated driving" as a whole: Functions intervening temporarily in accident-prone situations can obviously not be classified by means of continuous levels. Continuous automation describes the shift in workload from purely human driven vehicles to full automation. Duties of the driver are assigned to the machine as automation levels rise. Emergency braking, e.g., is obviously discontinuous and intensive automation. It cannot be classified under this regime. The resulting absence of visibility of these important functions cannot satisfy " especially in the light of effect they take on traffic safety. Therefore, in order to reach a full picture of vehicle automation, a comprehensive approach is proposed that can map out different characteristics as "Principle of Operation" at top level. On this basis informing and warning functions as well as functions intervening only temporarily in near-accident situations can be described. To reach a complete picture, levels for the discontinuous, temporarily intervening functions are proposed " meant to be the counterpart of the continuous levels already in place. This results in a detailed and independent classification for accident-prone situations. This finally provides for the visibility these important functions deserve.
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
Europe has benefited from a decreasing number of road traffic fatalities. However, the proportion of older road users increases steadily. In an ageing society, the SENIORS project aims to improve the safe mobility of older road users by determining appropriate requirements towards passive vehicle safety systems. Therefore, the characteristics of road traffic crashes involving the elderly people need to be understood. This paper focuses on car occupants and pedestrians or cyclists in crashes with modern passenger cars. Ten crash databases and four hospital statistics from Europe have been analysed to answer the questions on which body regions are most frequently and severely injured in the elderly, and specific injuries sustained by always comparing older (65 years and above) with midâ€aged road users (25â€64 years). It was found that the body region thorax is of particularly high importance for the older car occupant with injury severities of AIS2 or AIS3+, where as the lower extremities, head and the thorax need to be considered for older pedestrians and cyclists. Further, injury risk functions were provided. The hospital data analysis showed less difference between the age groups. The linkage between crash and hospital data could only be made on a general level as their inclusion criteria were quite different.
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.