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Description of road traffic related knee injuries in published investigations is very heterogeneous. The purpose of this study was to estimate the risk of knee injuries in real world car impacts in Germany focusing vulnerable road users (pedestrians, bicyclists and motorcyclists) and restrained car drivers. The accident research unit analyses technical and medical data collected shortly after the accident at scene. Two different periods (years 1985-1993 and 1995-2003) were compared focusing on knee injuries (Abbreviated Injury Scale (AISKnee) 2/3). In order to determine the influences type of collision, direction and speed as well as the injury pattern and different injury scores (AIS, MAIS, ISS) were examined. 1.794 pedestrians, 742 motorcyclists, 2.728 bicyclists and 1.116 car drivers were extracted. 2% had serious ligamentous or bony injuries in relation to all injured. The risk of injury is higher for twowheelers than for pedestrians, but knee injury severity is higher for the latter group. Overall the current knee injury risk is low and significant reduced comparing both time periods (27%, p<0,0001). Severe injuries (AISKnee 2/3) were below 1%). Improved aerodynamic design of car fronts reduced the risk for severe knee injuries significantly (p=0,0015). Highest risk of injury is for motorcycle followed by pedestrians, respectively. Knee protectors could prevent injuries by reducing local forces. The classically described dashboard injury was rarely identified. The overall injury risk for knee injuries in road traffic is lower than estimated and reduced comparing both periods. The aerodynamic shape of current cars compared to older types reduced the incidence and severity of knee injuries. Further modification and optimization of the interior and exterior design could be a proper measurement. Classic described injury mechanisms were rarely identified. It seems that the AIS is still underestimating extremity injuries and their long term results.
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.
Das Führen von Kraftfahrzeugen der Klasse 2 ist entsprechend der Fahrerlaubnisverordnung nach mehr als zwei epileptischen Anfällen ausgeschlossen. Als Ausnahme gilt eine durch ärztliche Kontrolle nachgewiesene fünfjährige Anfallsfreiheit ohne antiepileptische Behandlung. Im vorliegenden Fall wies ein Lkw-Fahrer mindestens vier epileptische Anfälle auf, eine fünfjaehrige Anfallsfreiheit ohne Medikamente unter ärztlicher Kontrolle ließ sich nicht feststellen. Der letzte Anfall führte zu einem Verkehrsunfall mit anschließendem Gerichtsverfahren. Ursächlich für den Unfall war am ehesten die abgesetzte Medikation. Ein Verfahren hinsichtlich der Ungeeignetheit zum Führen von Kraftfahrzeugen der Klasse 2 wurde eingeleitet.
Nowadays human-created systems are increasing in complexity due to the interaction of humans and technology. Especially road traffic systems are composed of multitudinous resources (e.g. personnel, vehicles, organizations, etc.), which make it even harder to anticipate the positive and negative effects on safety. One key in achieving a significant reduction of fatalities is seen in driver assistant systems counterbalancing the lack of drivers' capabilities. But the actual outcome of implementing these sophisticated technologies especially on influencing driver's capabilities are yet unknown. Latest research exemplifies an increase of reaction times of drivers in case of dysfunctional driver assistant systems. This research paper applies STAMP/STPA (STAMP = systems-theoretic accident model and processes; STPA = systems-theoretic process analysis) to the German automobile traffic system focusing on the effects of driver assistant systems on drivers. By doing so, the potential hazards caused by technology can be identified.
From literature well-known analyzes on risks, hazards and causes of accidents of older drivers are amended by the present study in which a comparison of the specific features of accident causes of older car drivers (older than 60 years) and of younger car drivers (under 25 years) is conducted. Mainly the question is pursued if specific errors, mistakes and lapses are predominant in the two different age groups. The analysis system ACAS (Accident Causation Analysis System) used hereby consists of a sequential system of accident causation factors from the human, the technical and the infrastructural field, whereupon for this study the influence of the human features on the accident development in two different age groups is of interest. ACAS is both an accident model and an analysis and classification system, which describes the human participation factors of an accident and their causes in the temporal sequence (from the perceptibility to concrete action errors) taking into consideration the logical sequence of individual basic functions. In five steps (categories) of a logical and temporal sequence the hierarchical system makes human functions and processes as determinants of accident causes identifiable. The methodology specifically focuses on the use in so-called "In-Depth" and "On-Scene" investigation studies. With the help of the system for each accident participant one or more of five hypotheses of human cause factors are formed and then specified by appropriate verification criteria. These hypotheses in turn are further specified by indicators in such manner that the coding of the causation factors by a code system meets the needs of database processing and are accessible to a quantitative data analysis. The first results of the descriptive comparison of the two age groups concern mainly differences in the functional levels "information admission/perception" (where the elderly drivers have more difficulties than the young ones) and "information processing/evaluation" (where the younger drivers show more problems). Concerning the cognitive function of "planning" the group of younger drivers seems to be more often involved in an accident because of excessive speed.
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.
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.
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.
Zum besseren Verständnis der Hirnleistungsanforderungen an das Autofahren wird ein Theorie-Modell erörtert, das aus folgenden drei Stufen in einer Hierarchie besteht: Die oberste Ebene ist die strategische Ebene, die mittlere die taktische und die untere die operationale Ebene. Bezogen auf den Straßenverkehr gehört zu den Entscheidungen auf strategischer Ebene beispielsweise die Überlegung, ob man überhaupt das Auto nehmen muss oder nicht. Hierzu gehört auch die Überlegung, ob man sich grundsätzlich an Geschwindigkeitsbegrenzungen halten will. Charakteristisch für strategische Entscheigungen ist, dass sie prinzipiell getroffen werden, bevor sie in konkretes Handeln umgesetzt werden. Bei den taktischen Entscheidungen geht es ausschließlich um eigenes initiatives Handeln aus der Person selbst heraus ohne äußeren Zwang oder Veranlassung (beispielsweise Überholmanöver, Abbiegen). Zu den operationalen Entscheidungen gehört jedes Reagieren auf äußere Erfordernisse (Beachten von Ampeln und sonstigen Verkehrszeichen, erzwungene Lenk- oder Bremsmanöver). Die meisten neuropsychologischen Untersuchungen beziehungsweise Tests prüfen die operationale Entscheidungsebene. Für die beiden höheren Ebenen ist eine Beurteilung nur möglich, wenn eine entsprechende Beurteilungsgrundlage vorhanden ist oder herangezogen werden kann (zum Beispiel eine praktische Fahrprobe). Die geistigen Fähigkeiten eines Menschen lassen sich ebenfalls in eine dreistufige Hierarchie gliedern: Die unterste Ebene umfasst Hirnleistungen wie Wahrnehmung, Aufmerksamkeit, Sprache, Denken und anderes mehr. Die mittlere Ebene wird konstituiert durch Ziele-Auswahl, Vorplanung, Antizipation als geistige Vorwegnahme der Handlungskonsequenz. Die höchste Hirnfunktion ist die objektive selbstreferenzielle Bewertung, die sich auf Vergangenheit, Gegenwart und Zukunft erstrecken kann.
Driver distraction
(2017)
This report for the Institute of Advanced Motorists (IAM) summarises recent research and knowledge from scientific studies about distracted driving. The report defines what it means to be "distracted" when driving, discusses the impact of distraction on driver behaviour and safety, and what can be done to reduce distracted driving. The focus of distraction discussed here relates to how drivers engage with technology when driving. The report begins with a background to driver distraction, followed by discussion about what is actually meant by driver distraction. It is then considered why humans cannot successfully do two things at the same time, particularly within the context of driving. The subsequent section summarises the scientific research findings to date with regard to driver distraction and technology, and how this affects different types of road user. Recommendations for how driver distraction can be mitigated in the real world and a summary conclude the report. Responses to common questions raised by drivers are presented in Appendix A.