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The project UR:BAN "Cognitive assistance (KA)" aims at developing future assistance systems providing improved performance in complex city traffic. New state-of-the-art panoramic sensor technologies now allow comprehensive monitoring and evaluation of the vehicle environment. In order to improve protection of vulnerable road users such as pedestrians and cyclists, a particular objective of UR:BAN is the evaluation and prediction of their behaviour and actions. The objective of subproject "WER" is development support by providing quantitative estimates of traffic collisions at the very start and predict potential in terms of optimized accident avoidance and reduction of injury severity. For this purpose an integrated computer simulation toolkit is being devised based on real world accidents (GIDAS as well as video documented accidents), allowing the prediction of potential effectiveness and future benefit of assistance systems in this accident scenario. Subsequently, this toolkit may be used for optimizing the design of implemented assistance systems for improved effectiveness.
Introduction: The method of causation analysis applied under the German accident survey GIDAS, which is based on Accident Causation Analysis System (ACAS) focuses on an on-scene data collection of predominantly directly event-related causation factors which were crucial in the accident emergence as situational resulting events and influences. The paradigm underlying this method refers to the findings of the psychological traffic accident research that most causally relevant features of the system components human, infrastructure and vehicle technology are found directly in the situation shortly before the accident. This justifies the survey method which is conducted directly at the accident (on-scene), shortly after the accident occurrence (in-time) with the detection of human-related causes (in-depth). Human aspects of the situation analysis that interact and influence the risk situations shortly before the collision are reported as errors, lapses, mistakes and failures in ACAS in specific categories and subcategories. Thus methodically ACAS is designed primarily for the collection of accident features on the level of operational action, which certainly leads to valid findings and behavioral causes of accidents. The enhancement by means of Moderating Conditions concerns the pre-crash phase in different levels: strategical, tactical and operational.
The evaluation of the expected benefit of active safety systems or even ideas of future systems is challenging because this has to be done prospectively. Beside acceptance, the predicted real-world benefit of active safety systems is one of the most important and interesting measures. Therefore, appropriate methods should be used that meet the requirements concerning representativeness, robustness and accuracy. The paper presents the development of a methodology for the assessment of current and future vehicle safety systems. The variety of systems requires several tools and methods and thus, a common tool box was created. This toolbox consists of different levels, regarding different aspects like data sources, scenarios, representativeness, measures like pre-crash-simulations, automated crash computation, single-case-analyses or driving simulator studies. Finally, the benefit of the system(s) is calculated, e.g. by using injury risk functions; giving the number of avoided/mitigated accidents, the reduction of injured or killed persons or the decrease of economic costs.
The current Brussels EU Regulation No. 1235/2011, valid from May 30, 2012, has introduced an European Tyre Label with wet grip index G classes from A to G for passenger car tyres C1, light commercial vehicles tyres C2 and heavy truck- and bus tyres C3. Every wet grip class for each vehicle category has a defined band of numerical values for the wet grip index G. The legislated wet grip values G in this EU- Regulation are very low. The measured braking distances and corresponding impact speeds of the test vehicles are showing very critical results. Regulation No. 1235/2011 of the European Parliament and the Council for Type Approval of Vehicles (EU) should be changed in such a way, that for C1-tyres (normal passenger cars tyres) the minimum wet grip index G is 1.25. All C2-tyres (light commercial vehicles tyres) should at least meet a minimum wet grip index of G = 1.1. All C3-tyres (heavy trucks and buses tyres) should at least meet a minimum wet grip index of G = 0.95. Due to the missing lower limits for G in the wet grip class F for C1, C2 and C3 tyres according to Commission Regulation (EU) No. 1235/2011, officially valid from 30 May 2012, a tyre-to-road coefficient of adhesion in the extreme of 0 (zero) is legally permitted. This is an apparent flaw in above cited EU Regulation, which causes a potential danger to the road traffic safety for all motor vehicles in Europe with such tyres. The wet grip class F has to be removed urgently from said EURegulation, since a direct liability of the responsible EU-Commission can not be excluded.
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.
Detailed anthropometric data of pregnant women have been collected and used in the development of a computational model of the pregnant occupant model "Expecting". The model is complete with a finite element uterus and multi-body fetus, which is a novel feature in the models of this kind. The computational pregnant occupant model has been validated and used to simulate a range of impacts. The strains developed in the utero-placental interface are used as the main criteria for fetus safety. Stress distributions due to inertial loading of the fetus on the utero-placental interface play a role on the strain levels. Inclusion of fetus model is shown to significantly affect the strain levels in the utero-placental interface. This series of studies has led to the design of seatbelt features specifically for the pregnant women to enable them use the seatbelt correctly and comfortably.
Verschiedene Maßnahmen zur Verbesserung der Luftqualität in Städten waren bisher bei der Verminderung von Stickoxiden nur bedingt erfolgreich. Interessant ist, ob der Einsatz der Photokatalyse hier weiterhelfen kann. Photokatalytische Anwendungen wurden schon in einigen Pilotstudien untersucht, zum Beispiel an Straßen beziehungsweise Modell-Canyons sowie in Tunneln. Teilweise wurden international sehr positive Ergebnisse erzielt, geichzeitig liegen aus anderen internationalen Projekten Ergebnisse unterhalb der Messgenauigkeit vor. Die vorgestellten Ergebnisse werden anhand verschiedener Variablen betrachtet und die erwartbare Atmosphärenrelevanz diskutiert. Zusammengefasst wird, dass basierend auf bekannten Feldmessungen für die Photokatalyse eine mittlere NOx-Reduktion von nur wenigen Prozent (in Hauptstraßenschluchten) zu erwarten ist. Dieses Potenzial muss mit anderen Maßnahmen verglichen werden (Kosten/Nutzenanalyse). Materialien müssen vor ihrem Einsatz in der Atmosphäre sorgfältig auf ihre Aktivität untersucht werden. Erfüllen die Oberflächen die Voraussetzungen, um als aktiv eingestuft zu werden, ist ihr Einsatz zur Luftreinhaltung klar zu empfehlen.
While it is important to track trends in the number of road accidents in different countries using national statistics, there is a need for data with more detailed information, so called in-depth accident data. For this reason, several accident data projects emerged worldwide in recent years. However, also different data standards were established and so comparative analysis of international in-depth data has been very hard to conduct, so far. This is why the project iGLAD (Initiative for the Global Harmonization of Accident Data) was established and created the prerequisites for building up a standardized dataset out of the common denominator of different in-depth accident databases from Europe, USA and Asia. In the first phase, the project received funding from ACEA to compile an initial database. To accomplish this, a suitable data scheme has been defined, a pilot study has been conducted as proof of concept and the recoding of the first common data base has been initiated. Also, to prepare the project for its self-supporting continuation in the next years, a business model has been developed. This paper reports the history and status of the project, the current challenges and the creation of a capable consortium to maintain the data. In mid-2014, the initial database containing 1550 cases from 10 different countries will be completed and a first detailed view on this data will be possible.
Vorgestellt werden Ergebnisse aus der Untersuchung "Vergleich verschiedener Modellierungsprogramme zur Berechnung von Luftschadstoffen". Die Untersuchung wurde begleitend zu der Pilotstudie "NO2-Reduktion an Ti02-dotierten Lärmschutzwänden (LSW) an der A1" durchgeführt. Projektziel war der Vergleich von drei Ausbreitungsmodellen sowie die Auswahl eines geeigneten Modells für ein zu entwickelndes Online-Monitoring-System. Es wurde festgestellt, dass sich die Modellergebnisse infolge der Umsetzung kleinräumiger Details unterscheiden sowie dass alle Modelle lediglich geringe NOx-Minderungen in Folge der katalytischen Oberflächenbeschichtung anzeigen. In den numerischen Modellen wird die photokatalytische Wirkung der Ti02-beschichteten Lärmschutzwand über einen Depositionsprozess berücksichtigt. Unter Berücksichtigung der Hintergrundbelastung und der NOx-NO2-Umwandlung würde sich die Wirkung des Katalysators im Maximum auf weniger reduzieren. Die Messungen zeigten keine eindeutige Wirkung bezüglich der Immissionskonzentrationen im Bereich der beschichteten beziehungsweise unbeschichteten LSW an.
Es werden erste Ergebnisse des von der Bundesanstalt für Straßenwesen (BASt) geförderten Forschungsprojekts "Hauptstudie zur Wirksamkeit von Tunnelwänden als Träger photokatalytischer Oberflächen" (FE 9.0184/2011/ARB) vorgestellt. Ziel war die Erarbeitung von technischen Lösungen zur Stickoxidreduktion an einem Tunnelstandort durch die Konzeptionierung und den Bau abgeschlossener photokatalytischer Reaktoren (Tunnelkassetten) sowie deren Validierung im Tunnel "Rudower Höhe" an der Bundesautobahn A113 in Berlin. Dabei wird künstliches UV-Licht als Energiequelle für den Schadstoffabbau eingesetzt. Es wird speziell über die Modellierungen berichtet, mit Hilfe derer die Tunnelkassetten sowohl strömungstechnisch als auch in Hinblick auf den photokatalytischen Abbauwirkungsgrad optimiert wurden.