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76 severe traffic accidents had been investigated in depth in an ongoing Volkswagen-Tongji University joint accident research project in JiaDing district, Shanghai, PR China since June 2005. With a methodology similar to German accident research units in Dresden and Hannover, a research team proceeds to the scene immediately after the incident to investigate and collect various data on environment, accident occurrence, vehicle state and deformations as well as injuries. The data combined with the results of accident reconstruction will be stored in a database for further statistical and casuistic analysis. The first outcome of the project supports the hypothesis that a main causation for the large number of traffic accidents in China is the lacking of risk awareness in Chinese driver behaviour. Low seat-belt use and the high proportion of vulnerable and poorly protected two-wheelers in traffic are reasons for the high injury and fatality rate in China. The research work shows that accident research in China is feasible and able to give support to tackle one of the urging problems in Chinese development.
The effect of fatigue on driving has been compared to the effect of alcohol impairment in both driver performance and crash studies. However are crash characteristics and causation mechanisms similar in crashes involving fatigue to those involving alcohol when studied in the real world? This has been explored by examining data held in the EC project SafetyNet Accident Causation Database. Causation data was recorded using the SafetyNet Accident Causation System (SNACS). The focus was on Cars/MPV crashes and drivers assigned the SNACS code Alcohol or Fatigue. The Alcohol group included 44 drivers and the Fatigue group included 47. "Incorrect direction" was a frequently occurring critical event in both the Alcohol and Fatigue groups. The Alcohol group had more contributory factors related to decision making and the Fatigue group had more contributory factors relating to incorrect observations. This analysis does not allow for generalised statements about the significance of the similarities and differences between crashes involving alcohol and fatigue, however the observed differences do suggest that attempts to quantify the effect of fatigue by using levels of alcohol impairment as a benchmark should be done with care.
Event Data Recorder (EDR) is an additional function installed in airbag control module (ACM) to record vehicle and occupant information for a brief period of time before, during, and after a crash event. EDRs are now being installed in ACMs by several automakers in the USA and in Japan. The aim of this study is to understand the performance of EDRs for the improvement of accident reconstruction with more reliable information. In the first report of the study, data obtained from EDRs of seven vehicle types were evaluated using 2006-2007 J-NCAP (Japanese new car assessment program) full-lap frontal barrier crash tests and offset frontal deformable barrier crash tests data. For more practical standpoint, we conducted thirteen crash tests reconstructing typical real-world accidents such as single vehicle accidents with barriers or poles, car to car accidents and multi rear-end collisions focusing on Japanese typical accident types. Data obtained from EDRs are compared with data obtained from optical speed sensor, instrumented accelerometers and high speed video cameras. The velocities determined from pre-crash data of EDRs and the maximum change in velocity, delta-V, and delta-V time history data obtained from post-crash data of EDRs are analyzed. The results are as follows: - Pre-crash velocities of EDRs were very accurate and reliable. An average difference between the EDR recording values and reference speeds was 4.2% and a root mean square of the differences was 9.2%. Only two cases resulted large differences for the pre-crash velocity. Both of them were cases with braking prior to the collision. However, another test with braking resulted less difference. The braking condition may influence accuracy of pre-crash velocities. - Maximum delta-Vs obtained from the EDRs showed uncertainty of measurement in several cases in comparisons with the reliable delta-V data. The differences in maximum delta-V were more than 10% in five of twenty-five events data and more than 20% in two of twenty-five events data. An average of the all differences was about 4% and root mean square of the differences was about 11%. Especially large deformation at narrow area may influence accuracy of post-crash delta-V. - Multiple rear-end crash tests were reconstructed using EDRs data as case studies. Some EDRs recorded two events and a time gap between two events, so that these reconstruction case studies were very accurate and reliable. - If though only one of three vehicles in multiple rear end crash was equipped EDR, overview and velocities of all cars may be reconstructed using these limited EDR data. In this case study, leading car- EDR data and middle car- EDR data were valuable. However if only following car was equipped EDR, the reconstruction was not accurate
The aim of this study was to evaluate the performance and accuracy of Event Data Recorders (EDRs). The analysis was based on J-NCAP crash tests from 2006"2007, with the corresponding EDR datasets. The pre-crash velocity, maximum delta-V and delta-V versus time history data recorded in the EDRs were compared with the reliable crash test data. The difference between the EDR pre-crash velocity and the laboratory test speed was less than 4 percent. In contrast, in several cases the maximum delta-V and delta-V versus time history data obtained from the EDRs showed uncertainty of measurement in comparisons with the reliable delta-V data. The difference in maximum delta-V in these comparisons was more than 5 percent in 10 of 14 tests and more than 10 percent in 4 of 14 tests. The EDRs underestimated the maximum delta-V in almost all tests. It was also concluded that the calculated acceleration from the EDR delta-V versus time history data showed good agreement with the instrumented accelerometer signal during the collision in almost all tests.
Die Ergebnisse der vorliegenden Studie zeigen, dass Patienten mit einer unbehandelten Aufmerksamkeitsdefizit/Hyperaktivitätsstörung in verstärktem Maße verkehrsrechtlich auffällig werden und sowohl häufiger Unfälle verursachen als auch Ordnungswidrigkeiten begehen. Die Ergebnisse zeigen weiterhin, dass sich eine medikamentöse Behandlung günstig auf die verkehrsrelevanten Leistungsfunktionen auswirkt und dadurch auch die Grundvoraussetzungen für eine verbesserte Fahrtüchtigkeit und Fahreignung ermöglicht.
Die Ergebnisse der vorliegenden Studie zeigen, dass die Art, wie ein Fahrer mit Belastungen im Straßenverkehr umgeht, in Zusammenhang steht mit seinem Fahrstil und den Fahrfehlern, die er macht. Dabei zeigt sich, dass insbesondere ein konfrontativer Bewältigungsstil die Konfliktneigung im Straßenverkehr erhöht und dass diese Fahrer nicht nur andere belasten, sondern dass dieser Bewältigungsstil auch dazu führt, dass diese Fahrer selbst mehr Stress und Belastungen erleben.
Kategorie-1-Schäden bei orthotropen Fahrbahnplatten treten als bauweisenunabhängige Schäden in Form von Rissen im Anschlussbereich Deckblech-Längsrippe auf. Zur Vermeidung dieser Schäden sind geeignete Instandsetzungsmaßnahmen zu entwickeln, die zu einer Verminderung der Spannungen und Durchbiegungen in den gefährdeten Bereichen führen. Im Rahmen eines aktuellen Forschungsvorhabens an der Universität Duisburg-Essen wird der Ansatz verfolgt, einen modifizierten Fahrbahnbelag bestehend aus einem mit Epoxydharz oder alternativ mit Bioharz verfüllten Asphalttraggerüsts mit erhöhter mittragender Wirkung einzusetzen. Des Weiteren wird im vorliegenden Beitrag der Einsatz von Betonfertigteilen aus UHPC erläutert.
Im Falle von Nachtrunkeinlassungen ist die Begleitstoffanalyse (BGA) ein anerkanntes Instrument zu deren Überpruefung. Methanol ist einer der forensisch relevanten Begleitalkohole, die bei der Begleitstoffanalyse überprüft werden. Oft kann die BGA den Nachtrunk weder bestätigen noch ausschließen, ein erhöhter Methanolspiegel hat deshalb als Marker für eine stundenlang vorbestehende Ethylalkoholbeeinflussung von mehr als 0,5 bis 0,7 Promille eine besondere Bedeutung. Oft gehörte Einlassungen zur Erklärung erhöhter Methanolspiegel sind nach Erfahrung von Rechtsmedizinern der Genuss von Obst, so zum Beispiel Orangen, Pampelmusen, Birnen und auch Tomaten, Saftkonsum oder eine Methanolexposition am Arbeitsplatz. Es werden zwei Fallbeispiele vorgestellt, in denen diese Einlassungen experimentell überprüft wurden. Im ersten Fall wurde der Methanolspiegel mit dem Genuss verdorbenen Fruchtsafts begründet, im zweiten Fall wurde ein Nachtrunk mit Klosterfrau-Melissengeist beziehungsweise eine Diät mit Obst angegeben. Ob Methanolspiegel nach dem Konsum von Obst tatsächlich hoch ansteigen können, wurde in Probandentests untersucht. Bei einigen Probanden wurden hohe Methanolspiegel von etwa 10mg/l nach exzessivem Obst- und Fruchtkonsum vorgefunden. Bei der Bewertung dieser Spiegel als Marker für eine chronische Alkoholbelastung ist deshalb Vorsicht geboten. Verdorbener Obstsaft enthält lediglich geringe Konzentrationen von Alkohol und Methanol.
Road safety is a major preoccupation of the European Commission and the road transport industry and depends on numerous significant factors. In order to improve road safety and to plan effective safety improvement actions for truck transport, we must first identify the problems to be addressed, i.e. what are the main causes of truck accidents. The ETAC project, initiated by the European Commission and the IRU, was launched in order to set up a heavy goods vehicle accident causation study across European countries to identify future actions which could contribute to the improvement of road safety. The results will be based on a detailed analysis of truck accident data collected in seven European countries according to a common methodology which has been elaborated through numerous national and European projects. This paper describes the common methodology used to collect the information on the scene of the accident and to analyse the data so that the reconstruction of the crash events may be carried out. CEESAR proposes a methodology using its experience gained from over 10 years of accident data collection. This methodology is based on an in-depth investigation of the parameters involved in-an accident and linked to the driver, the vehicle, the road and their environment. In-depth investigation requires accident investigator presence on the scene of the accident in order to collect volatile information such as marks on the road, weather conditions, visibility, state and equipment of the vehicle, driver interview. Later, passive and active information is gathered, either at the hospital for the driver, at the garage for the vehicle or on the spot for the road geometry. A reconstruction carried out with the help of specific software and the analysis of the data collected and calculated enables the identification of the main causes of the accident and the future actions to plan in order to improve road safety as regards truck traffic.