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Females sustain Cervical Spine Distortion injury (CSD) more often than males. Most work dealing with the biomechanics background (e.g. injury mechanism/criteria) as well as the application in seat design/testing, focuses on the occupant model of an average male. Therefore the EU-Project ADSEAT (Adaptive Seat to Reduce Neck Injuries for Female and Male Occupants) is aimed at adding a female model for gender balanced research of CSD and improving seat design. An extensive literature review, searching for risk factors and injury criteria for males and females, was accompanied by the evaluation of different databases containing CSD cases. The database evaluations suggests that an anthropometry quite close to the 50%ile female anthropometry as known from crash test dummy design is appropriate. The results presented here form the basis for the future development of a computational female model and the improvement of seat design for better protection of both males and females in the frame of the ADSEAT-Project.
Adverse weather could impair the performance of many important parts in road transportation. In a tropical country, the threats posed by the weather phenomenon can be viewed from a different perspective as the situation may not be as extreme as snow-related problems or excessive temperature in other countries. Specifically in Malaysia, the situation may be underestimated due to several reasons such as the deficiencies in accident reporting and lack of research work. This background research has looked into various publications as well as related data to explain the need of more comprehensive research in the future.
Although ATV accidents account for numerous deaths in the US and Australia, the role in traffic accidents and hospital admissions in Germany is unknown. At a level I trauma centre, hospital and crash charts were analysed for medical and technical parameters of ATV accidents. ATV drivers were 0.1% of emergency trauma patients. The mean total hospital stayrnwas 15 days; there were 1.5 stays per patients with 2.0 surgical procedures needed. One patient died, only two recovered fully. 14 cases of ATV accidents out of 18990 (0.1%) were documented within 10 years. The mean impact velocity was 35 km/h. Car collisions were predominant. The upper extremity was the predominant injured region (AIS 0.7), Mean maximum AIS was 1.4. ATV accidents in Germany are rare but pose high risk for severe injuries. Possible reasons are low active and passive security, limited experience and risky driving behaviour. Preventive measures are discussed.rn
Die vorliegende Untersuchung gibt einen zusammenfassenden Überblick über die Leistungen des öffentlichen Rettungsdienstes in der Bundesrepublik Deutschland im Zeitraum 2008/09. Das Forschungsprojekt 87.012/2008 "Analyse des Leistungsniveaus im Rettungsdienst für die Jahre 2008 und 2009" erfasst und analysiert eine repraesentative Stichprobe von Einsatzdaten zur Beurteilung der Leistungsfähigkeit des öffentlichen Rettungsdienstes in der Bundesrepublik Deutschland. Die wesentlichsten Ergebnisse des Forschungsprojektes sind: " Bundesweit werden im öffentlichen Rettungsdienst im Zeitraum 2008/09 jährlich rund 11,4 Mio. Einsätze mit insgesamt 14,2 Mio. Einsatzfahrten durchgeführt. Die Einsatzrate beträgt rund 143 Einsätze pro 1.000 Einwohner und Jahr. " An einem mittleren Werktag gehen bundesweit rund 35.000 rettungsdienstliche Hilfeersuchen in den Rettungsleitstellen ein. Am Wochenende sinkt die Zahl der eingehenden Hilfeersuchen auf rund 26.000 an einem mittleren Samstag und auf rund 24.000 an einem mittleren Sonntag. " 49 % des Einsatzaufkommens werden vom Leitstellenpersonal als Notfall eingestuft, 51 % entfallen auf die Kategorie Krankentransport. " Praktisch die Hälfte aller Notfalleinsätze werden unter Hinzunahme eines Notarztes durchgeführt (Notarzteinsatz). Ein Drittel der Notfälle zu Verkehrsunfaellen (32 %) wird von einem Notarzt bedient. " Das Rendezvous-System hat sich mit einem Anteil von 99,1 % gegenüber dem Stationssystem bundesweit durchgesetzt. " Rund jeder 17. Notfalleinsatz gilt einem Verkehrsunfall, was bundesweit rund 336.000 Einsätzen entspricht. Die Verteilung der übrigen Einsatzanlässe bei Notfällen mit und ohne Notarztbeteiligung beträgt: Internistischer Notfall 46 %, Sonstiger Notfall (z. B. Verbrechen, Suizid, dringende Blut- und Organtransporte) 37 %, Sonstiger Unfall (z.B. Haus-, Schul- und Sportunfall) 11 % und Arbeitsunfall unter 1 %. " Die Verteilung der Rettungsmitteltypen am bundesweiten Einsatzfahrtaufkommen im Zeitraum 2008/09 betraegt: RTW 52 %, KTW 29 %, NEF 18 %, NAW und RTH/ITH unter 1 %. " Beim Einsatzfahrtaufkommen werden rund die Haelfte der Einsatzfahrten mit Sonderrechten auf Anfahrt durchgeführt. Dies entspricht bundesweit jährlich 7,2 Mio. Einsatzfahrten unter Sonderrechten auf Anfahrt. " Das Einsatzfahrtaufkommen weist im Bundesgebiet 2008/09 einen Fehlfahrtanteil von unter 6 % auf. Bundesweit sind dies jährlich rund 808.000 Fehlfahrten. " Die Dispositions- und Alarmierungszeit bei Einsatzfahrten mit Sonderrechten auf Anfahrt beträgt im Mittel 2,1 Minuten. Bei Einsatzfahrten ohne Sonderrechte auf Anfahrt liegt die Dispositionsund Alarmierungszeit im Mittel bei 14,3 Minuten. " Bei Einsätzen mit Sonderrechten auf Anfahrt errechnet sich nach dem zuerst eingetroffenen Rettungsmittel am Einsatzort eine mittlere Hilfsfrist von 8,7 Minuten, wobei 95 % der Notfälle innerhalb von 16,7 Minuten mit einem Rettungsmittel bedient werden. " Die mittlere Hilfsfrist zu Verkehrsunfällen beträgt an Straßen innerorts am Tag 8,8 Minuten und in der Nacht 9,4 Minuten, an Straßen außerorts am Tag 10,4 Minuten und in der Nacht 10,9 Minuten. " Die Unterscheidung der Einsatzzeit nach Notfällen und Krankentransporten unter zwei Stunden ergibt eine mittlere Einsatzzeit von 51 Minuten für Einsatzfahrten mit Sonderrechten auf Anfahrt und 53 Minuten für Einsatzfahrten ohne Sonderrechte auf Anfahrt. " Die Transportzeit bei Einsatzfahrten mit Sonderrechten auf Anfahrt beträgt im Mittel 12,3 Minuten. Bei Einsatzfahrten ohne Sonderrechte auf Anfahrt liegt die Transportzeit im Mittel bei 16,1 Minuten. " Die Verweilzeit am Transportziel/Wiederherstellungszeit bei Einsatzfahrten mit Sonderrechten auf Anfahrt beträgt im Mittel 20,1 Minuten, während bei Einsatzfahrten ohne Sonderrechte auf Anfahrt der Vergleichswert im Mittel bei 15,9 Minuten liegt. " Die weiteren Ergebnisse der Pilotstudie zur Machbarkeit einer Datenerhebung und -analyse über die Ermittlung der Verletzungsschwere bei Verkehrsunfallopfern zeigen, dass die Analyse mittels Daten sowohl zur Rückmeldezahl in Hessen als auch mit Hilfe von DIVI-Notarztprotokollen möglich ist. Dabei ist eine Klassifikation mit Hilfe von Geodaten EDV-gestuetzt umsetzbar, um eine vergleichende Auswertebasis zu bilden.
It has been pointed that most of the accidents on the roads are caused by driver faults, inattention and low performance. Therefore, future active safety systems are required to be aware of the driver status to be able to have preventative features. This probe study gives a system structure depending on multi-channel signal processing for three modules: Driver Identification, Route Recognition and Distraction Detection. The novelty lies in personalizing the route recognition and distraction detection systems according to particular driver with the help of driver identification system. The driver ID system also uses multiple modalities to verify the identity of the driver; therefore it can be applied to future smart cars working as car-keys. All the modules are tested using a separate data batch from the training sets using eight drivers" multi-channel driving signals, video and audio. The system was able to identify the driver with 100% accuracy using speech signals of length 30 sec or more and a frontal face image. After identifying the driver, the maneuver/ route recognition was achieved with 100% accuracy and the distraction detection had 72% accuracy in worst case. In overall, system is able to identify the driver, recognize the maneuver being performed at a particular time and able to detect driver distraction with reasonable accuracy.
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.
Impact severity is a fundamental measure for all in-depth crash investigation projects. One methodology used in the UK is based on the US Calspan software package CRASH3. The UK- in-depth crash investigation studies routinely use AiDamage3 a software package which is based on an updated version of the original CRASH3 algorithm, including enhancements to the vehicle stiffness coefficients. Real world accident-damaged vehicles are measured and their crush is correlated with a library of stiffness coefficients. These measurements are then used, along with other parameters, to calculate the crash energy and equivalent changes of velocity of the vehicles (delta-v), which is a measure of the impact severity. UK in-depth accident studies routinely validate the crash severity methodologies applied as the vehicle fleet changes. This is achieved by analysing crash test data and using the appropriate residual crush damage and other inputs to AiDamage3 and checking the program- outputs with the known crash severity parameters. This procedure checks, at least in part, the default stiffness values in the data libraries and the reconstruction methods used.
Who doesn't wear seat belts?
(2009)
Using real world accident data, seat belts were estimated to be 61% effective at preventing fatalities, and 32% effective at preventing serious injuries. They were most effective for drivers with an airbag. Seat belts were estimated as having prevented 57,000 fatalities and 213,000 seriously injured casualties in the UK since 1983. Seat belt legislation was estimated to have prevented 31,000 fatalities and 118,000 seriously injured casualties. A future increase in effective seat belt wearing rate (which takes into account seating position) in the UK from 92.5% to 93% may prevent casualties valued at a societal cost of over -£18 million per year. To target a seat belt campaign, the question "who doesn"t wear seat belts?" must be answered. Seat belt wearing rates and the number of unbelted casualties were analysed. It was primarily young adult males who didn"t wear seat belts, and they made up the majority of unbelted fatalities and seriously injured casualties.
In a first step, we have examined approximately 23 000 single vehicle accidents within the Austrian National Statistics database. In a second step, we considered 15% of all fatal "running off the road" accidents that occurred in Austria in 2003. As a result, two accident categories were specified; "leaving the road without preceding manoeuvre" and "leaving the road with preceding manoeuvre". These two categories can be basically characterised by the vehicle- heading angle and its velocity angle. In this report, we further suggest theoretical approaches for the dimensioning of a safety zone, an area adjacent to the road free of fixed objects or dangerous slopes. We also show the link between the two accident categories mentioned above and the real world accidents analysed in detail. These observations also form the basis for the required length for safety devices. Finally, we summarise accident avoidance strategies.
This study aims to analyze spine injuries in motor vehicle accidents. Between 1985 and 2004 the Hannover accident research unit documented 18353 accidents. We identified 161 front passengers (0.53%) with cervical spine injuries, 84 (0.28%) with thoracic and 95 (0.31%) with lumbar injuries. Technical and medical data was reviewed. Patients" records were retrieved. X-rays were evaluated and fractures were classified according to the Magerl classification. 68% and 57% of thoracic and lumbar fractures occurred in accidents with multiple impacts. Delta-v was 50, 40 and 40 kph in passengers with cervical, thoracic and lumbar spine, resp. Passengers with spinal fractures frequently showed numerous concomitant injuries, e.g. additional vertebral fractures. The influence of seat belts and airbags is discussed. Patient work-up has to include a thorough investigation for additional injuries.