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This work describes the results of the experimental activity, illustrating the driving behavior observed in different conditions, relating them to the different methods of ADAS intervention and comparing the driver behavior without ADAS. In the present study, driver behavior was studied in road accidents involving elderly pedestrians, with different ADAS HMIs, as a base to develop a driver model in near missing pedestrian accidents. A literature research was conducted with the aim of finding out the main influencing factors, including environment, boundary conditions, configuration of impact, pedestrian and driver information, when pedestrian fatalities occur and an analysis of frequent road accidents was conducted to get more detailed information about the driver- behavior. In order to obtain more detailed information about pedestrian accidents, real road accidents were reconstructed with multibody simulations on PC-Crash and, by the comparison between literature findings and reconstructions, a generic accident scenario was defined. The generic accident scenario was implemented on the full scale dynamic driving simulator in use at the Laboratory for Safety and Traffic Accident Analysis (LaSIS, University of Florence, Italy) in order to analyse the driving behaviors of volunteers, also considering the influence of ADAS devices. Forty-five young volunteers were enrolled for this study, resulting in forty valid tests on different testing scenarios. Two different scenarios consisted in driving with or without ADAS in the vehicle. Different kinds of ADAS, acoustic and optical, with different time of intervention were tested in order to study the different reactions of the driver. The tests showed some interesting differences between driver's behavior when approaching the critical situation. Drivers with ADAS reacted earlier, but more slowly, depending also on the type of alarm, and often with double reaction when braking. In fact, the results of the activity showed that with ADAS intervention the time to collision (TTC) increases, but the reaction time and braking modality change: a) there is a sort of "latency" time between the accelerator pedal release and the brake pressure; b) the brake pressure is initially less intense. So the driver only partially takes advance from the TTC increase. These differences were valued not only qualitatively, but quantitatively as well. This work revealed to be useful to improve the knowledge of drivers" behavior, in order to realize a driver model that can be implemented to help attaining and assessing higher levels of automation through new technology.
The advent of active safety systems calls for the development of appropriate testing methods. These methods aim to assess the effectivity of active safety systems based on criteria such as their capability to avoid accidents or lower impact speeds and thus mitigate the injury severity. For prospective effectivity studies, simulation becomes an important tool that needs valid models not only to simulate driving dynamics and safety systems, but also to resolve the collision mechanics. This paper presents an impact model which is based on solving momentum conservation equations and uses it in an effectivity study of a generic collision mitigation system in reconstructed real accidents at junctions. The model assumes an infinitely short crash duration and computes output parameters such as post-crash velocities, delta-v, force directions, etc. and is applicable for all impact collision configurations such as oblique, excentric collisions. Requiring only very little computational effort, the model is especially useful for effectivity studies where large numbers of simulations are necessary. Validation of the model is done by comparison with results from the widely used reconstruction software PC-Crash. Vehicles involved in the accidents are virtually equipped with a collision mitigation system for junctions using the software X-RATE, and the simulations (referred to as system simulations) are started sufficiently early before the collision occurred. In order to assess the effectivity, the real accident (referred to as baseline) is compared with the system simulations by computing the reduction of the impact speeds and delta-v.
Causation of traffic accidents with children from the perspective of all involved participants
(2017)
In the year 2014 about 2,800 children between zero and 14 years got injured due to traffic accidents in Austria. More than 50% were taking part in traffic as active road users like cyclists or pedestrians. Within this study 46 real world traffic accidents between vehicles and children as pedestrians were analysed. In 39 cases, car drivers hit the crossing children. In the other cases, the collision opponents were busses, trucks or motorcycles. Most of the children got hit while crossing a road at urban sites. By analysing the traffic accidents from the perspectives of all involved participants, vehicle drivers and injured children, it is possible to identify factors for each participant, which led to the accident and factors that contributed the accident. The main task is to find patterns in the behaviour of crash victims (children and driver) before the collision. One important fact is that in more than 50% of the analysed cases sight obstructions were an important contributing factor for both, the driver and the child. From drivers view situations in which the child moved unexpected into the driven road lane were often found. For the injured child, factors like: no attention to the road traffic or no sufficient traffic observation were found to be relevant. Further it- possible to sensitise children and adults to possible source of critical traffic situations according to the findings of this study.
For more than a decade, ADAC accident researchers have analysed road accidents with severe injuries, recording some 20,000 accidents. An important task in accident research is to determine the causative factors of road accidents. Apart from vehicle engineering and human factors, accident research also focuses on infrastructural and environmental aspects. To find out what accident scenarios are the most common in ADAC accident research and what driver assistance systems can prevent them, our first task was to conduct a detailed accident analysis. Using CarMaker, we performed a realistic simulation of accident scenarios, including crashes, with varying parameters. To begin with, we made an initial selection of driver assistance systems in order to determine those with the greatest accident prevention potential. One important finding of this study is that the safety potential of the individual driver assistance systems can actually be examined. It also turned out that active safety offers even much more potential for development and innovation than passive safety. At the same time, testing becomes more demanding, too, as new systems keep entering the market, many of them differing in functional details. ADAC will continue to test all driver assistance systems as realistically as possible so as to be able to provide advice to car buyers. Therefore, it will be essential to develop and improve test conditions and criteria.
The proportion of older road users is increasing because of demographic change (in the group 65+ from current 18% to about 24% by 2030). The mobility needs of people 65+ often differ from those of younger people. Seniors (65+) are already more involved in fatal accidents than younger road users. According to the age development, the senior share of road deaths in the EU of today is increasing nearly one-fifth to one-third. From the in-depth analysis of accidents generic simulation models were developed. Attention has been paid both to psycho-physical characteristics as well as on the social and physical environment and their specifics in conjunction with seniors. By simulating the defined scenarios and varying the defined relevant parameters, accident influencing factors were examined as a basis for avoidance. In addition, the parameters were varied to show the influence from the vehicle, the pedestrian and the infrastructure to avoid the accident or to characterize the conditions for which the accident is inevitable.
Twenty-eight percent of traffic accidents in Japan are rear-end collisions, and of these, 13% are multiple collisions (three or more vehicles and/or roadside objects). A post-crash braking system enables the driver to stop the vehicle in a short distance after a rear-end collision to prevent secondary collisions. In this study, the effectiveness of a post-crash braking system was examined using a drive recorder database. In 64% of rear-end collisions, the driver's braking was interrupted after the collision. The stopping distance was estimated with time data from the drive recorder. We predict that the brake assist would be effective in preventing secondary collisions in 21% of cases.
For the determination of the road surface roughness common methods have been established, like Skid Resistance Tester (SRT) or the Sideway-force Coefficient Routine Investigation Machine (SCRIM). Both methods are used to measure a comparable and reliable maximum friction potential value and to assess the quality of the road surface. However, the comparison of the measurements under real conditions and the results of measurements with SRT and SCRIM showed only minor correlations. The paper shows the comparison between these standardised methods and real vehicle braking tests and discusses the results.
In this study, the mean profile depth (MPD) that expresses roughness of road pavements was calculated using the road survey equipment vehicle and the calculated MPD was compared with the real number of traffic accidents. The analysis method used in this study was to classify the appropriate clustering in relation to traffic accidents using the K-means clustering and to compare this with the presence of traffic accidents via the MPDs to derive the result. K-means clustering was used in the analysis method and four clusters were found using the clustering analysis results. The center of each cluster was 0.627, 0.850, 1.118, and 1.237, respectively. The result of this study is expected to be utilized as foundational research in the traffic safety area.
Zur Sicherung der Leistungsfähigkeit der Verkehrsinfrastruktur in Deutschland soll im Bereich der kollektiven Verkehrsbeeinflussung in Zukunft das Werkzeug des prozessorientierten Qualitätsmanagements genutzt werden. Diese Forschungsarbeit hatte die Erarbeitung eines vollständigen Prozess- und Qualitätsmodells und praxistauglicher Handlungsempfehlungen für die verschiedenen Lebenszyklusphasen von Streckenbeeinflussungsanlagen (SBA) zum Ziel. Zu diesem Zweck wurden diverse Grundlagen zur Gestaltung eines auf SBA bezogenen Qualitätsmanagementsystems herangezogen. Das erarbeitete Prozessmodell umfasst 34 bewertungsrelevante Prozesse in den Lebenszyklusphasen Planung, Bau und Betrieb, einschließlich des unterstützenden Prozesses Wartung und Instandsetzung. Zur Identifikation von Lücken in der Qualitätssicherung der Prozesse wurde eine Fehlermöglichkeits- und -einflussanalyse (FMEA) durchgeführt. Anhand von Expertenwissen wurden Fehler und Fehlerursachen analysiert und die kritischsten Qualitätsprobleme zusammengestellt. Anhand der Ergebnisse des Prozessmodells wurde zur quantitativen Beschreibung der Auswirkungen möglicher Fehler ein Qualitätsmodell entwickelt. Auf Grundlage eines Bayes'schen Netzes wurden die Auswirkungen von Fehlern auf nachfolgende Prozesse im gesamten SBA-Lebenszyklus systematisch abgebildet. Das probabilistische Qualitätsmodell kann dabei außerdem als Diagnose-Werkzeug zur Untersuchung der Fehlerursachen von beobachteten Störungen einer SBA genutzt werden. Im Rahmen der Forschungsarbeit wurden anhand der Ergebnisse des Prozessmodells praxisorientierte, ressourcenschonende Handlungsempfehlungen abgeleitet und in einem Dokument für Planer und Betreiber von Streckenbeeinflussungsanlagen zusammengestellt. Zudem wurde eine Methode zur Abschätzung des Nutzens der Maßnahmen beschrieben, um die erforderlichen Investitionen zur Qualitätssicherung zu begründen. Zukünftige Forschungsarbeiten sollten sich im Zusammenhang mit der Adaption des Qualitätsmodells auf eine konkrete SBA insbesondere mit der Optimierung des Modells in Form von Anpassungen der Modelltopologie beschäftigen. Des Weiteren sollte untersucht werden, ob die in dieser Forschungsarbeit erarbeiteten Ergebnisse auf andere Typen von Verkehrsbeeinflussungsanlagen übertragbar sind.
Weiterführende Untersuchungen zur Beurteilung des Adhäsionsverhaltens zwischen Bitumen und Gestein
(2017)
Die Dauerhaftigkeit der Straßen hängt maßgeblich vom Haftverhalten zwischen dem Bitumen und der Gesteinskörnung ab. Seit Jahrzehnten wird das Haftverhalten unterschiedlicher Gesteine und Bitumen mit diversen Prüfverfahren untersucht. Eine Quantifizierung der Einflussfaktoren konnte bisher nicht erreicht werden, jedoch hat das Gestein nach den Ergebnissen des AiF-Forschungsprojektes IGF 16639N einen größeren Einfluss auf die Adhäsion als das Bitumen [RADENBERG et al., 2014]. Im Rahmen dieses Projektes soll die Komponente Gestein genauer untersucht werden und der Einfluss der verschiedenen Gesteinseigenschaften auf die Adhäsion quantifiziert werden. Ein Fokus der Forschungsaufgabe ist dabei, zu untersuchen, ob der Parameter Zeta-Potential dazu dienen kann, die Wechselwirkung zwischen Bitumen und Gesteinsaggregaten zu beschreiben. Aus der Literatur geht hervor, dass niedrige Potenzialdifferenzen zwischen Bitumen und Gestein auf eine gering wirksame adhäsive Bindung / elektrostatische Wechselwirkung hindeuten und z.B. bei gleichsinniger Ladung sogar zur gegenseitigen Abstoßung von Gesteinsoberfläche und Bitumenmolekülen führen. Die Untersuchungen von [LABIB, 1992] zeigen, dass Bitumenemulsionen negative Zeta-Potentiale aufweisen. Bei den Rolling-Bottle-Versuchen konnte ein signifikanter Einfluss der Gesteinseigenschaften insbesondere des Zeta-Potentials und des Ca-Anteils der löslichen Salze auf den Umhüllungsgrad festgestellt werden. Der Schüttelabriebversuch hat sich mit den hier gewählten Randbedingungen als ungeeignet für die Quantifizierung möglicher Einflussfaktoren erwiesen. Ebenso konnten mit der Tropfenkonturanalyse weder Einflüsse aus den Gesteinseigenschaften noch aus den Bitumeneigenschaften als maßgeblich quantifiziert werden. Dennoch kann grundsätzlich eine Aussage über das Haftverhalten zwischen Bindemittel und Gestein getroffen werden. Weiterhin kann die Wirkung von Wasser auf das Haftverhalten messtechnisch erfasst werden. Die Versuche zur Haftgrenztemperatur zeigen, dass der pH-Wert des Wassers einen Einfluss auf die Haftgrenztemperatur (HGT) ausübt. Mit abnehmenden pH-Wert sinkt bei dem Diabas und der Grauwacke das Zeta-Potential (Betrag). Je höher das Zeta-Potential (Betrag) ist, desto geringer ist die Haftgrenztemperatur.