Sonstige
Filtern
Erscheinungsjahr
- 2013 (8) (entfernen)
Dokumenttyp
Schlagworte
- Fahrer (8) (entfernen)
Institut
Various kinds of demerit point systems have been developed and implemented in European countries, aimed at tackling repeat offences in road transport by acting as a deterrent and providing sanctioning. The impact of a demerit point system on the number of crashes is often reported to be significant, but temporary. The objective of the EU BestPoint project was to establish a set of recommended practices that would result in a more effective and sustainable contribution of demerit point systems to road safety. A high actual chance of losing the licence and a high perceived chance of losing the licence are basic prerequisites for the effective operation of demerit point systems. For measures applied within the context of a demerit point system, a four-step-approach is recommended: warning letter, driver improvement course, licence withdrawal, rehabilitation course. Further recommendations concern issues like points and offences, e.g. which offences should lead to points, target groups, and the administration of demerit point systems. The final result of the EU BestPoint project is a handbook (van Schagen & Machata, 2012) which provides a concise overview of all recommended practices. The presentation/paper outlines how sustainable safety improvements can be achieved if national demerit point systems are implemented and maintained according to the recommended practices. In addition, potential further steps towards an EU-wide demerit point system (cross-border exchange on points and/or offences) are presented.
Introduction: Spine injuries pose a considerable risk to life and quality of life. The total number of road deaths in developed countries has markedly decreased, e.g. in Germany from over 20000 in 1970 to less than 4000 in 2010, but little is known how this is reflected in the burden of spine fractures of motor vehicle users. In this study, we aimed to show the actual incidence of spine injuries among drivers and front passengers and elucidate possible dependencies between crash mechanisms and types of injuries.
With an ever rising human life expectancy the share of elderly people in society is constantly rising. This leads to the fact that at the same rate the share of people with age related diseases such as dementia and poor eyesight taking part in traffic will rise and therefore traffic accidents caused by this group of people due to the disease will play an ever greater role. This Situation will be among the future challenges of road safety work. At present this study displays specific characteristics of accidents caused by elderly car drivers (aged 65 or higher) based on the analysis of the German In-Depth Accident Study GIDAS. Herein almost 1000 elderly car drivers were identified as accident participants in the years 2008 to 2011. The focus of this study lies on identifying special types of accidents which are caused by elderly drivers and on characterizing these types with the information gathered on scene and by interviewing the participants. The main evidence analyzed is the knowledge about the accident locality, the trajectories of the participants as well as the reasons for the occurrence of the accidents. Furthermore personal information such as the personal condition before the accident and driving purposes is used to identify patterns of contributing circumstances for accidents caused by elderly traffic participants.
Immediate user self-evacuation is crucial in case of fire in road tunnels. This study investigated the effects of information with or without additional virtual reality (VR) behavioural training on self-evacuation during a simulated emergency situation in a road tunnel. Forty-three participants were randomly assigned to three groups with accumulating preventive training: The control group only filled in questionnaires, the informed group additionally read an information brochure on tunnel safety, and the VR training group received an additional behavioural training in a VR tunnel scenario. One week later, during the test session, all participants conducted a drive through a real road tunnel in which they were confronted with a collision of two vehicles and intense smoke. The informed and the behaviourally trained participants evacuated themselves more reliably from the tunnel than participants of the control group. Trained participants showed better and faster behavioural responses than informed only participants. Interestingly, the few participants in the control group who reacted adequately to the scenario were all female. A 1 year follow-up online questionnaire showed a decrease of safety knowledge, but still the trained group had somewhat more safety relevant knowledge than the two other groups. Information and especially VR behavioural training both seem promising to foster adequate self-evacuation during crisis situations in tunnels, although long term beneficial behavioural effects have to be demonstrated. Measures aiming to improve users/ behaviour should take individual difference such as gender into account.
10 % bis 20 % der Straßenverkehrsunfälle werden auf Müdigkeit am Steuer zurückgeführt. Es steht eine Vielzahl unterschiedlicher Methoden zur Verfügung, um Müdigkeit beim Fahrer zu erkennen. Ziel des vorliegenden Projekts war es, die Stärken und Schwächen der verschiedenen Müdigkeitsmessverfahren vergleichend zu beschreiben und existierende Müdigkeitsmess- und Müdigkeitswarnsysteme im Überblick darzustellen. Die Ergebnisse beruhen auf folgender Verknüpfung von Literaturanalysen, Experten- und Nutzerbefragungen: • Literaturanalyse und zusammenfassende Darstellung von Müdigkeitsmessverfahren, die auf physiologischen und leistungsbezogenen Messgrößen beruhen. • Literaturanalyse zu Müdigkeitsmess- und Warnsystemen, Befragung der Systemhersteller und zusammenfassende Darstellung der identifizierten Systeme. • Befragung von 20 Nutzern von den in Mittel- und Oberklassefahrzeugen implementierten Müdigkeitswarnsystemen zur Beurteilung der wahrgenommenen Detektionsgüte, Akzeptanz und Compliance. • Erarbeitung eines Gütekriterienkatalogs als Grundlage für die Bewertung und den Vergleich ausgewählter Müdigkeitsmessverfahren. • Zweistufige Befragung von 12 Experten aus Industrie- und Hochschulforschung nach der Delphi-Methode. Ziel war die Auswahl und Bewertung der validesten Verfahren zur Erfassung der Fahrermüdigkeit, begründeter Zweitbewertungen bei abweichenden Urteilen und der Beurteilung ihrer Eignung für verschiedene Einsatzgebiete. • Workshop mit den Delphi-Teilnehmern zur Diskussion und Ergänzung der Delphi-Ergebnisse. Die 70 in der Fachliteratur identifizierten Müdigkeitsmesssysteme unterscheiden sich in den zugrunde liegenden Müdigkeitsmessverfahren, dem Vorliegen und der Gestaltung von Warnfunktionen und ihrer Verbreitung. Nur selten werden überzeugende Validierungsbelege oder Angaben zur Anzahl falscher und ausbleibender Alarme angeführt. Aus Nutzersicht bieten die derzeit in Mittel- und Oberklassemodellen verfügbaren Müdigkeitswarnsysteme oftmals keine zufriedenstellende Detektionsgüte. Vielfach wird die Fahrt trotz detektierter und selbst eingestandener Müdigkeit fortgesetzt. Ca. die Hälfte der Fahrer sieht in der Nutzung der Müdigkeitswarnsysteme einen Zuwachs an Sicherheit. Zu den validesten Müdigkeitsmessverfahren gehören aus Expertensicht die Erfassung der Fahrperformanz (Lenkverhalten und Spurhaltung) und des Lidschlussverhaltens, das videobasierte Expertenrating, das EEG und der Pupillografische Schläfrigkeitstest. Die unterschiedlichen Stärken und Schwächen der sechs ausgewählten Messverfahren werden im Bericht detailliert aufgeführt. Nach wie vor existiert kein Goldstandard zur Müdigkeitserfassung. Je nach Einsatzgebiet sind entweder alle sechs ausgewählten Messverfahren (Forschung & Entwicklung), nur einige (Müdigkeitswarnsystem im Fahrzeug) oder kein einziges (Verkehrskontrolle) geeignet. Die Auswahl der Messverfahren sollte daher in Abhängigkeit des jeweiligen Ziels und Kontexts der Müdigkeitserfassung erfolgen und die spezifischen Stärke-Schwächenprofile berücksichtigen. Eine valide Müdigkeitserfassung bedarf der Kombination von mindestens zwei Messverfahren. Bedarf besteht in der Optimierung und der begleitenden Evaluierung der Müdigkeitswarnsysteme im Fahrzeug und der vielversprechendsten Messverfahren. Weitere Maßnahmen zur wirksamen Reduzierung müdigkeitsbedingter Unfälle wurden im Rahmen des Expertenworkshops diskutiert und im Bericht dargelegt.
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.
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.
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.