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In this study, we compared the injury severity of occupants according to the seating position and the crashing direction in motor vehicle accidents. In the driver's point of view, it was separated the seating position as "Near-side" and "Far-side". The study subjects were targeted by people who visited 4 regional emergency centers following motor vehicle accidents. Real-world investigation was performed by direct and indirect methods after patient- consent. The information of the damaged vehicle was informed by Collision Deformation Classification (CDC) code and the information of the injury of patients was informed by using the Abbreviated Injury Score (AIS) and Injury Severity Score (ISS). When the column 3 in CDC code was P, damaged at the middle part of lateral side, the average point of AIS 3 was 1.91-±1.72 in near-side and 1.02-±1.31 in far-side (p<0.01). The average point of maximum AIS (MAIS) was 2.78-±1.39 in near-side and 2.02-±1.11 in far-side (p<0.01). The average point of ISS was 15.74-±14.71 in near-side and 8.11-±8.39 in far-side (p<0.01). Also, when the column 3 in CDC code was D, damaged at the whole part of lateral side, it was significant that the average point of AIS 3 and MAIS in near-side was bigger than in far-side (p=0.02).
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.
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.
The incidence of side impacts was investigated from GIDAS data. Both vehicle-fixed object and vehicle-vehicle collisions were analysed as these are enclosed within the consumer testing program. Vehicle-fixed object collisions were stratified according to ESC availability. Results indicated that vehicles equipped with ESC rarely have pure-lateral impacts. An increase in oblique collisions was seen for the vehicles with ESC whereby most vehicle were driving in left curves. The analysis of vehicle-vehicle collisions developed injury risk curves were developed at the AIS3+ injury severity for the vehicle-vehicle side impacts. Results suggested that greatest injury risk occurred when a Pre Euro NCAP vehicle was struck by a Post Euro-NCAP vehicle. The remaining curves did not show different behaviour, indicating that stiffness increased have been equally combated. This was attributable to the few Post Euro-NCAP vehicles that had a deployed curtain airbag available in the sample. The integration of Euro NCAP testing has shown to improve vehicle crashworthiness for pole collisions, as those vehicles with ESC rarely incur lateral impacts.
Um die Auswirkungen des demografischen Wandels auf den Straßenbetriebsdienst zu analysieren, wurde in der Zeit von Juli 2013 bis Februar 2014 eine Altersstrukturanalyse, eine Tätigkeitsbeschreibung und eine Mitarbeiterbefragung durchgeführt. Die Altersstrukturanalyse zeigte, dass in der Mehrzahl der Bundesländer eine ungünstige Altersverteilung vorliegt, d.h. ein Großteil der Belegschaft ist aktuell in der Altersklasse der über 40-Jährigen. Das bedeutet, dass die Tätigkeiten des Straßenbetriebsdienst in 10 Jahren überwiegend von Mitarbeitern im Alter über 50 bewältigt werden muss, sollte sich an der Altersstruktur nichts ändern. Bei der Tätigkeitsbeschreibung wurde deutlich, dass als Folge der meist jahrelangen belastenden Arbeitsbedingungen mit erheblichen physischen und psychischen Einschränkungen der Mitarbeiter zu rechnen ist, die somit die schwierigen Tätigkeiten im Straßenbetriebsdienst kaum noch bewältigen können. Bei der Mitarbeiterbefragung zeigte sich, dass die Straßenwärter im Großen und Ganzen mit ihrer Tätigkeit zufrieden sind, das Ende ihrer Erwerbslaufbahn aber durchaus kritisch sehen. Es wurde deutlich, dass die Befragten ihren Beruf mögen und ihn gerne und lange ausüben möchten. Dafür wünschen sie sich neben besserer technischer Ausstattung mehr Anerkennung für ihre Tätigkeit. Diese Ergebnisse weisen auf einen Handlungsbedarf in den Bereichen Gesundheitsförderung, Arbeitsorganisation und Personalmarketing auf. Expertenbefragungen in der Zeit von Juli 2014 bis Oktober 2014 zeigten, dass in einigen Bundesländern bereits positive Ansätze in diesen Handlungsfeldern vorhanden sind, die weiter entwickelt, gestärkt und koordiniert werden sollten. Präventive Maßnahmen sollten ergriffen werden, um die Gesundheit der vorhandenen Mitarbeiter möglichst lange zu erhalten. Auch durch eine alternskritische Organisation und Gestaltung der Arbeit könnte eine Entlastung der Mitarbeiter erfolgen. Maßnahmen des Personalmarketing sind erforderlich, um den künftigen Personalbedarf zu decken.
The Decision Support System (DSS) is one of the key objectives of the European co-funded research project SafetyCube in order to better support evidence-based policy making. Results will be assembled in the form of a DSS that will present for each suggested road safety measure: details of risk factor tackled, measure, best estimate of casualty reduction effectiveness, cost-benefit evaluation and analytic background. The development of the DSS presents a great potential to further support decision making at local, regional, national and international level, aiming to fill in the current gap of comparable measures effectiveness evaluation. In order to provide policy-makers and industry with comprehensive and well-structured information about measures, it is essential that a systems approach is used to ensure the links between risk factors and all relevant safety measures are made fully visible. The DSS is intended to become a major source of information for industry, policy-makers and the wider road safety community.
Unter dem Begriff "Intelligente Brücke" erfolgt in einem Forschungscluster der Bundesanstalt für Straßenwesen die Entwicklung eines adaptiven Systems zur kontinuierlichen Bereitstellung relevanter Informationen für eine ganzheitliche Zustandsbewertung durch den Einsatz von geeigneter Sensorik in Verbindung mit Analyse- und Bewertungsverfahren. Hierdurch werden online Hinweise auf zu erwartende Schädigungen und Zustandsänderungen ermöglicht. Im Rahmen des digitalen Testfelds Autobahn werden ausgewählte Entwicklungen "Einwirkungsüberwachung", "Instrumentierte Fahrbahnübergänge und Lager" sowie "Sensornetze" an einer Spannbetonbrücke im Autobahnkreuz Nürnberg umfänglich vorgestellt und damit bundesweit zugänglich gemacht. Das Gesamtsystem besteht aus den Komponenten eines Informationssystems zur Analyse und Bewertung von Messdaten instrumentierter Bauteile. Die dabei durchzuführenden Untersuchungen beziehen sich auf die fortlaufende Aktualisierung des objektbezogenen Lastmodells und Analysen zur Restlebensdauer der Brücke sowie der untersuchten Bauteile. Die erfassten und aufbereiteten Informationen werden der zuständigen Straßenbauverwaltung online zur Verfügung gestellt. Das System wird im Rahmen eines fünfjährigen Untersuchungsprogramms betrieben, analysiert und weiterentwickelt.
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.
At IAM RoadSmart we share the excitement about autonomous cars " who wouldn't! However over half of the drivers we polled supported concentrating on making drivers safer " among IAM RoadSmart members it was 70%. Driverless cars are still years away but delivering safer drivers can help reduce death and injury from tomorrow. Governments, academics and car makers need to work hard to convince sceptical British and American drivers that autonomous cars can deliver the benefits promised such as a 90% plus reduction in road deaths.
Chronic non-cancer pain (CNCP) is a major health problem. Patients are increasingly treated with chronic opioid therapy (COT). Several laboratory studies have demonstrated that long-term use of opioids does not generally impair driving related skills. But there is still a lack of studies investigating on-the-road driving performance in actual traffic. The present study assessed the impact of COT on road-tracking and car-following performance in CNCP patients. Twenty CNCP patients, long-term treated with stable doses of opioid analgesics, and 19 healthy controls conducted standardized on-the-road driving tests in normal traffic. Performance of controls with a blood alcohol concentration (BAC) of 0.5 g/L was used as a reference to define clinically relevant changes in driving performance. Standard Deviation of Lateral Position (SDLP), a measure of road-tracking control, was 2.57 cm greater in CNCP patients than in sober controls. This difference failed to reach statistical significance in a superiority test. Equivalence testing indicated that the 95% CI around the mean SDLP change was equivalent to the SDLP change seen in controls with a BAC of 0.5 g/L and did not include zero. When corrected for age differences between groups the 95% CI widened to include both the alcohol reference criterion and zero. No difference was found in car-following performance. Driving performance of CNCP patients did not significantly differ from that of controls due to large inter-individual variations. Hence in clinical practice determination of fitness to drive of CNCP patients who receive opioid treatments should be based on an individual assessment.