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This study aimed to identify the occurrence, type and mechanisms of the traumatic injuries of the vulnerable road users in vehicle collisions, and to determine the effects of human, engineering, and environment factors on traffic accidents and injuries. The pedestrian accident cases were collected in the years 2000 to 2005 from Changsha Wujing hospital China and Accident Research Unit at Medical University Hannover in Germany. A statistic analysis was carried out using the collected accident data. The results from analysis of Changsha data were compared with results from analysis of GIDAS data Hannover. The injury severities were determined using AIS code and ISS values. The results were presented in terms of cause of injuries, injury distributions, injury patterns, injury severity. The factors influenced the injury outcomes were proposed and discussed for the vehicle transport environment and road users. The results were discussed with regard to accident data collection, accident sampling and injury distributions etc. In the urban area of Changsha, motorcycles and passenger cars are most frequently involved in vehicle pedestrian accidents. Head and lower extremities injuries are the predominant types of pedestrian injuries. The pedestrian accidents were identified as vital issue in urban traffic safety and therefore a high priority should be given to this road user group in research of safe urban transportation. In Hannover area, cars are most frequently involved in traffic accidents, injured pedestrians are involved in road traffic of Germany in 13% of all causalities only in 2005 and have nearly the same number as motorcyclists, but the half of bicyclists.
The European Union has set a target to reduce all road fatalities (over 40,000) with 50% in 2010. This target percentage remained unchanged with the introduction of the ten new member states within the EU as by May 1st, 2004. According to Eurostat, 34% of all fatalities in 1998 in the, then, fifteen states of the European Union were the result of single vehicle collisions. This represents over 14,000 lives lost each year of which many can likely be saved through better roadside infrastructure design. The challenge for road safety professionals is to find methods and design strategies that help to reduce these casualties. Procedures for full-scale vehicle crash testing of guard rails were first published in the US in 1962. Present European regulation is mainly based on these procedures and later developments. Since then the vehicle fleet has changed considerably. Due to the complexity of the actual safety problem the numerical simulation approach offers a good opportunity to evaluate the different parameters involved in road safety, such as infrastructure properties, vehicle type, vehicle occupants and injuries. The ideal situation would be that simulation tools are coupled or integrated and all involved effects would be related. At the moment this is not the case yet, but initiatives are taken and a new virtual era has started. This paper offers a method looking at two components that encompass the driving environment: the car and the guardrail. As part of the EC-funded project, RISER (Roadside Infrastructure for Safer European Roads) a multi body simulation program study is carried out to determine sensitivities of some parameters in car to guardrail collisions and gives insides in performance of the car with passive safety equipment, the guardrail and the interaction of these objects with each other. By offering a set of methods that includes these two aspects and their intertwining relations, more confidence can be gained in actually reducing fatalities due to single vehicle collisions with, or due to, roadside furniture. Reducing the number of fatalities of single vehicle crashes would contribute greatly to the stated goal of reducing casualties altogether.
The fact that ADAC Air Rescue handles approximately 4,000 road accident missions every year gave rise to set up an accident research programme for which ADAC Air Rescue provides its data. This data is of initial informational quality and will be supplemented by data from the police, experts, fire brigades as well as hospitals and forensic institutes. Although the number of cases is still rather low, certain tendencies can be identified. The causes for most accidents occur when joining or intersecting traffic, followed by speeding in road bends and tailgating. Many accidents involve HGV rear end collisions, often causing serious injuries, considerable damage and technical problems for the rescue operations. With regard to the various impact types, it has become obvious that most of the extremely serious injuries are inflicted during a passenger car side impact. In addition, access to and removal of trapped passengers is becoming more and more complicated, partly due to the increasing use of high-strength materials, and rescue operations tend to be more time consuming.
There is a need for detecting characteristics of pedestrian movement before car-pedestrian collisions to trigger a fully reversible pedestrian protection system. For this purpose, a pedestrian sensor system has been developed. In order to evaluate the effectiveness of the sensor system, the in-depth knowledge of car-pedestrian impact scenarios is needed. This study aims at the evaluation of the sensor system. The accident data are selected from the STRADA database. The accident scenarios available in this database were evaluated and the knowledge of the most common scenarios was developed in terms of the pedestrian trajectory, the pedestrian speed, the car trajectory, the car velocity, etc. A mathematical model was then established to evaluate the sensor system with different detective angles. It was found that in order to detect all the pedestrians in the most common scenarios on time the sensor detective angle must be kept larger than 60 degrees.
Empirical vehicle crashworthiness studies are usually based on national or in-depth traffic accident surveys: Data on accident-involved cars/drivers are analysed in order to quantify the chance of driver injury and to assess certain risk factors like car make and model. As the cars/drivers involved in the same accident form a "cluster", where the size of the cluster equals the number of accident-involved parties, traffic accident survey data are typical multi-level data with accidents as first-level or primary and cars/drivers as secondlevel or secondary units (car occupants in general are to be considered as third level units). Consequently, appropriate statistical multi-level models are to be used for driver injury risk estimation purposes as these models properly account for the cluster structure of traffic accident survey data. In recent years various types of regression models for clustered data have been developed in the statistical sciences. This paper presents multi-level statistical models, which are generally applicable for vehicle crashworthiness assessment in the sense that data on single and multiple car crashes can be analysed simultaneously. As a special case of multi-level modelling driver injury risk estimation based on paired-by-collision car/driver data is considered. It is demonstrated that assessment results may be seriously biased, if the cluster structure inherent in traffic accident survey data is erroneously ignored in the data analysis stage.
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.
Im Rahmen des Projektes sollte ein Hilfsmittel für Planer entwickelt werden, mit dem zum einen schon in der Planungsphase potenziell kritische Streckenabschnitte für Motorradfahrer identifiziert werden und zum anderen passende Maßnahmen zum Schutz der Motorradfahrer ausgewählt werden können. Hierzu galt es Kriterien zu analysieren, die an Streckenabschnitten ein erhöhtes Unfallpotenzial für Motorradfahrer darstellen. Für diese Analyse konnte auf die Daten des digitalen Straßennetzes sowie der digitalen Unfalldatei des Landes Rheinland-Pfalz zurückgegriffen werden. Mit den Daten wurden drei verschiedenen Auswertungen durchgeführt: 1) Alle Unfälle mit Motorradbeteiligung sind einer allgemeinen Auswertung unterzogen worden. Dabei wurden nur die Kriterien analysiert, die bei der polizeilichen Unfallaufnahme erfasst werden. 2) Als nächstes wurden die fahrbahngeometrischen Gegebenheiten an der Unfallstelle und in definierten Bereichen davor untersucht. Dies mit dem Ziel, einen Zusammenhang zwischen dem Streckenverlauf vor der Unfallstelle und dem Ort des Unfallgeschehens herzuleiten. 3) Als letztes wurden die Daten für die Streckenabschnitte in denen sich die Unfälle ereignet haben analysiert und mit Vergleichsdaten von Strecken ohne Unfallauffälligkeiten verglichen. Diese Vergleichsuntersuchung lieferte die wesentlichen Ergebnisse des Projektes. Es konnte abgeleitet werden, dass Streckenabschnitte, welche: a) eine Kurvigkeit über den gesamten Abschnitt > 200 gon/km und b) maximal 15 Änderungen des Streckenverlaufs pro km und c) einen Geradenanteil von maximal 50% und d) eine Länge von über 2,0 km aufweisen, ein besonders erhöhtes Risikopotenzial für Motorradfahrer im Vergleich zum durchschnittlichen Gefährdungspotenzial der Vergleichsstrecken in sich bergen. Basierend auf den Ergebnissen wurde für Planer eine Vorgehensweise entwickelt, mit der das Unfallpotenzial eines Streckenabschnittes bewertet werden kann und darauf aufbauend anhand von verschiedenen Auswahlkriterien Maßnahmen zum Schutz der Motorradfahrer gewählt werden können.
Internationally, the need is expressed for harmonized traffic accident data collection (PSN, PENDANT, etc.). Together with this effort of harmonization, traffic accident investigation moves more and more in the direction of accident causation. As current methods only partly address these needs, a new method was set up. The main characteristics of this method are: • Accident/injury causation (associated) factors can objectively be identified and quantified, by comparison with exposure information from a normal population. • All relevant accident and exposure data can be included: human-, vehicle-, and environmental related data for the pre-crash, crash and postcrash situation (the so-called Haddon matrix). The level of detail can be chosen depending on interest and/or budget, which makes the method very flexible. In this paper the accident collection and control group method are presented, including some of the achieved results from a pilot study on 30 truck accidents and 30 control locations. The data were analyzed by using cross-tabulations and classification-tree analysis. The method proved useful for the identification of statistically significant causational aspects.
Validation of human pedestrian models using laboratory data as well as accident reconstruction
(2007)
Human pedestrian models have been developed and improved continually. This paper shows the latest stage in development and validation of the multibody pedestrian model released with MADYMO. The biofidelity of the multibody pedestrian model has been verified using a range of full pedestrian-vehicle impact tests with a large range in body sizes (16 male, 2 female, standing height 160-192cm, weight 53.5-90kg). The simulation results were objectively correlated to experimental data. Overall, the model predicted the measured response well. In particular the head impact locations were accurately predicted, indicated by global correlation scores over 90%. The correlation score for the bumper forces and accelerations of various body parts was lower (47-64%), which was largely attributed to the limited information available on the vehicle contact characteristics (stiffness, damping, deformation). Also, the effects of the large range in published leg fracture tolerances on the predicted risk to leg fracture by the pedestrian model were evaluated and compared with experimental results. The validated mid-size male model was scaled to a range of body sizes, including children and a female. Typical applications for the pedestrian models are trend studies to evaluate vehicle front ends and accident reconstructions. Results obtained in several studies show that the pedestrian models match pedestrian throw distances and impact locations observed in real accidents. Larger sets of well documented cases can be used to further validate the models especially for specific populations as for instance children. In addition, these cases will be needed to evaluate the injury predictive capability of human models. Ongoing developments include a so-called facet pedestrian model with a more accurate geometry description and a more humanlike spine and neck and a full FE model allowing more detailed injury analysis.
Mit dem Forschungs- und Entwicklungsvorhaben sollten bestehende Wissenslücken zum Verkehrssicherheitspotenzial an innerörtlichen Haltestellen des straßen- und schienengebundenen öffentlichen Personennahverkehrs geschlossen werden. Untersuchungsgegenstand waren Haltestellen im Linienbus- und Straßenbahnverkehr mit Lage im Straßenraum. Neben einer Auswertung der Straßenverkehrsunfallstatistik des Statistischen Bundesamtes erfolgten vertiefende Unfallanalysen in vier Fallbeispielen (Städte Düsseldorf, Leipzig und Zwickau sowie Landkreis Mayen-Koblenz) als Grundlage für ein Sicherheitsranking relevanter Haltestellentypen, ergänzt um Einzelfallanalysen für ausgewählte Haltestellenbereiche unterschiedlichen Typs. Die Untersuchungen erfolgten jeweils auf der Basis von Unfalldaten aus drei Kalenderjahren. Insgesamt wurden in den vier Fallbeispielen rund 2.550 Teilhaltestellen unterschiedlichen Typs untersucht, davon 1.750 Bushaltestellen, 690 Straßenbahnhaltestellen und 110 kombiniert genutzte Haltestellen. In den Haltestellenbereichen waren in 3 Kalenderjahren rund 770 Unfälle mit Personenschaden zu verzeichnen. Rund 85 Prozent (im Landkreis Mayen-Koblenz 91 Prozent) der Bushaltestellen und 30 Prozent der Straßenbahnhaltestellen wiesen in den untersuchten drei Kalenderjahren keinen Unfall mit Personenschaden auf. Als spezifische Kenngröße für die vergleichende Beurteilung der unterschiedlichen Haltestellenformen wurden haltestellenbezogene Unfallkosten UK zugrunde gelegt, um über die Unfallanzahl hinaus auch die Unfallschwere in die Betrachtungen einzubeziehen. Im vorliegenden Falle wurde diese Kenngröße als UK(P) ermittelt, da nur Unfälle mit Personenschäden in die Untersuchungen einbezogen wurden. Verwendet wurden an die Verunglücktenstruktur angepasste Unfallkostensätze. Quantifizierte Ergebnisse konnten für die Bushaltestellentypen "Bucht" und "Fahrbahnrand/Kap" sowie die Straßenbahnhaltestellentypen "Fahrbahnrand/Kap", "Fahrbahn" (mit den Varianten "StVO" und "Zeitinsel") sowie "Seitenbahnsteig" ermittelt werden. Zusammenfassend konnte festgestellt werden: - Im Vergleich der ÖPNV-Teilsysteme sind Bushaltestellen sicherer als Straßenbahnhaltestellen und kombinierte Haltestellen. - Im Vergleich der Haltestellentypen sind Haltestellen am Fahrbahnrand (einschließlich Kaplösungen) am sichersten, gefolgt vom Typ "Bucht" und den beiden auf das ÖPNV-Teilsystem Straßenbahn bezogenen Haltestellentypen "Fahrbahn" und "Seitenbahnsteig". - Bezogen auf das ÖPNV-Teilsystem Bus schneidet der Haltestellentyp "Bucht" deutlich ungünstiger ab als der Typ "Fahrbahnrand/ Kap". - Bezogen auf das ÖPNV-Teilsystem Straßenbahn schneidet der Haltestellentyp "Fahrbahnrand/Kap" am günstigsten ab, gefolgt vom Typ "Fahrbahn". Am ungünstigsten sind die Werte für den Typ "Seitenbahnsteig". - In Bezug auf den Straßenbahnhaltestellentyp "Fahrbahn" ergaben die Ergebnisse zu den beiden Varianten "Fahrbahn, StVO" und "Fahrbahn, Zeitinsel" deutliche Unterschiede. Sowohl bei den spezifischen Unfallkosten als auch in Bezug auf die mittlere jährliche Unfallanzahl pro Teilhaltestelle und die mittleren Unfallkosten von Unfällen mit Personenschaden im Haltestellenbereich ergab die Variante "Zeitinsel" ungünstigere Werte als die Variante "StVO". Empfohlen wird insbesondere: - die Priorisierung des Typs "Fahrbahnrand/Kap" als Standardlösung für Bushaltestellen (VwV-StVO), - eine Neubewertung des Typs "Fahrbahn" und hier wiederum der Variante "StVO" in VwV-StVO und Regelwerken mit dem Ziel einer Priorisierung dieses Typs gegenüber dem Typ "Seitenbahnsteig" (bei vergleichbaren Rahmenbedingungen) sowie der Variante "StVO" gegenüber der Variante "Zeitinsel", die Konkretisierung und Weiterentwicklung der Einsatzkriterien für Zeitinseln sowie - eine verstärkte Berücksichtigung der Verkehrssicherheit von im Haltestellenbereich die Fahrbahn querenden Fußgängern.