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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.
The bicyclist accidents were analyzed to get better understanding of the occurrences and frequency of the accidents, injury distributions, as well as correlation of injury severity/outcomes with engineering and human factors in two different countries of China and Germany. The accident cases that occurred from 2001 to 2006 were collected from IVAC database in Changsha and GIDAS database in Hannover. Based on specified sampling criteria, 1,570 bicyclist cases were selected from IVAC database in Changsha, and 1806 cases were collected from Hannover, documented in GIDAS database. Statistical analyses were carried out by using these selected data. The results from the statistical analysis are presented and discussed in this study.
The focus of the technical innovation in the automobile industry is currently changing to sensor based safety systems, which are operating in the pre-crash phase of an accident. To get more information about this pre-crash phase for real accidents a simulation of this phase using the GIDAS database is done. The basics for this simulation are geometrical information about the accident location and the exact accident data out of the GIDAS database. This aggregated information gives the possibility to simulate an exact motion for every accident participant, using MATLAB / SIMULINK, in the pre-crash phase. After the simulation the information about the geometrical positions, the velocities and maneuvers of the drivers to an individual TTC (time to collision) are available. With those results it is possible to develop new useful sensor geometries using pre-crash scatter plots or estimate the efficiency of implemented active safety systems in combination with sensor characteristics. This simulation can be done for every reconstructed accident included in the GIDAS database, so these results can represent a wide spread basis for the further development of active safety systems and sensor geometries and characteristics
Over the last decades the number of traffic accident fatalities on German roads decreased by 77% down to 4968 in the year 2007. This positive development is due to optimisations of vehicle safety, roads and infrastructure and medical rescue issues. Up to now mostly the optimisations of secondary safety measures lead to this effect on vehicle safety. Since some years more and more driver assistance systems are available and lead to a further reduction of all accidents. These new systems are often comfort systems and have not primarily been developed to increase vehicle safety. In contrast to secondary safety systems primary safety systems are able to mitigate and avoid accidents. So in the future it is important to estimate the benefit of these systems in reducing accident numbers as well. Current benefit estimation methods mostly focus on a single system only and not on the combination of systems. In this paper a new method for a multivariate benefit estimation based on real accident data is developed. The paper describes the basic method to estimate the benefit of primary and secondary safety systems in combination. With the presented method the benefit will not be overestimated as it would be by a simple addition of the benefits of single systems. The model will be validated by a multivariate prospective benefit estimation of different vehicle safety systems in comparison to single benefit estimations of the same systems. For this the German In-Depth Accident Database is used. The results show the importance to implement the interactions of safety systems in the estimation process and rate the overestimation by a simple addition of the single system benefits. The validation includes primary and secondary safety systems in combination. The validation is done using more than 3500 real accidents which were initiated by cars. This sample out of the GIDAS database is representative for the current accident situation in Germany. The paper shows the necessity of a multivariate estimation of the benefit for existing and future safety systems.