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While accident statistics on a national level are provided by many countries, there is a need for international data that includes more detailed information about the accident, so called in-depth data. As a consequence, accident data projects have been emerging in different regions of the world. This creates a need for comparable and mergeable data from different countries, enabling the use of already existing accident data resources and helping to expedite the improvement of global road safety. While existing approaches focus that mostly on building a comprehensive accident database from scratch, the iGLAD project (Initiative for the Global Harmonization of Accident Data) attempts a more pragmatic approach by building on top of the work already accomplished in this area and complementing it. The target of iGLAD is to help setting up an additional dataset as a compatibility layer between already existing world wide data sets and integrating the structure of these by defining a common data scheme. This dataset is limited to the common denominator between the existing data sets and is inherently rather small and simple. Eventually, an individual converter for each participating accident investigation group will be built that enables pooling all data sets in a common repository. This not only saves costs and time, and hence makes such a target more feasible, but also creates data that is usable right from the start. This paper gives an overview of the current status of iGLAD and first steps taken. Additionally, some methodological aspects are discussed, next to a glance at other projects working currently on related issues, providing additional input for iGLAD. Finally, an overview of next steps and intended future work is given.
Car occupants have a high level of mortality in road accidents, since passenger cars are the prevalent mode of transport. In 2013, car occupant fatalities accounted for 45% of all road accident fatalities in the EU. The objective of this research is the analysis of basic road safety parameters related to car occupants in the European countries over a period of 10 years (2004-2013), through the exploitation of the EU CARE database with disaggregate data on road accidents. Data from the EU Injury Database for the period 2005 - 2008 are used to identify injury patterns, and additional insight into accident causation for car occupants is offered through the use of in-depth accident data from the EC SafetyNet project Accident Causation System (SNACS). The results of the analysis allow for a better understanding of the car occupants' safety situation in Europe, thus providing useful support to decision makers working for the improvement of road safety level in Europe.
Ziel der beschriebenen Untersuchung ist die Ergründung streckencharakteristischer Merkmale bei lokalen Häufungen überwiegend fahrdynamisch begründeter Unfälle auf einbahnigen Außerortsstraßen sowie die Erarbeitung geeigneter Abhilfemaßnahmen. Es wurden Streckenabschnitte mit Unfallhäufungsstellen in Rheinland-Pfalz, Hessen, Saarland und Baden-Württemberg ausgewählt. Auf 58 Untersuchungsstrecken wurde das Geschwindigkeitsverhalten und die streckencharakteristische Geschwindigkeit durch Geschwindigkeitsprofile mit Hilfe von Messfahrten untersucht. Die Streckencharakteristika wurden nach quantifizierbaren Merkmalen wie Kurvigkeit und Krümmungsradien sowie nach subjektiven Beurteilungskriterien aufgeschlüsselt. Unfallhäufungsbereiche wurden durch Beschreibungsmerkmale gekennzeichnet, die den kombinierten Einfluss der Trassierungselemente, der Ausstattung und des Umfeldes erfassten. Die Versuche, quantitative Zusammenhänge zwischen Unfallkennzahlen und einzelnen streckencharakteristischen Merkmalen herzustellen, misslangen. Als weitaus häufigstes Merkmal innerhalb der Unfallhäufungsbereiche zeigte sich eine lokale Steigerung der Kurvigkeit in einer bereits kurvigen Umgebung. An zweiter Stelle der Häufigkeit steht die Mitwirkung von Querneigungs- und Fahrbahndeckenmängeln. Die Autoren stellen fest, dass die heutigen Richtlinien zur Linienführung von Straßen (RAS-L-1) keine ausreichenden Kriterien enthalten, um die häufigste festgestellte Unfallursache zu vermeiden, die darin zu sehen ist, dass innerhalb kurviger Strecken Einzelkurven mit größerer Richtungsänderung und/oder etwas kleinem Krümmungsradius auftreten. Hieraus wird die Notwendigkeit einer entsprechenden Überarbeitung der Richtlinie abgeleitet.
Im Zentrum steht die Frage, wie lückenlos und in welchem Umfang ein ganzes Großstadtgebiet von dem NAW-Dienst versorgt wird, der den Anspruch erhebt, flächendeckend zu arbeiten. Untersucht wird, wie dieser Dienst den spezifischen gebiets- und bevölkerungsstrukturellen Unterschieden Rechnung trägt. Ferner wird gefragt, inwieweit die Einsatz- und Interventionsstrategien des NAW-Dienstes nicht so angelegt sind, dass sie Versorgungsungleichheiten produzieren und/oder verstärken. Dokumentiert und ausgewertet wurden 15.716 Einsätze, die der mit 5 Notarztwagen ausgestattete NAW-Dienst in Berlin-West innerhalb eines zwölfmonatigen Zeitraums durchgeführt hat. Zusätzlich wurden Daten des ökologischen Kontexts einbezogen, ferner Feuerwehrdaten (technische Einsatzdaten) und klinische Beurteilungen der NAW-Patienten, die in Krankenhäuser eingewiesen wurden. Die Ergebnisse zeigen zeitliche und regionale Differenzen der Einsätze, das Einsatzspektrum des ganzen NAW-Dienstes wie auch der einzelnen Fahrzeuge und die Phasen des Einsatzes. Weite Teile des Berichts verdeutlichen, wie sich differente Interventionsstrategien einzelner Stützpunkte auswirken. Untersucht wird die Wirksamkeit des NAW-Dienstes in Begriffen der Indikationsverifizierung, der Überlebenschancen und der prospektiven Versorgungsaufwendungen für NAW-Patienten nach der klinischen Behandlung.
Die Zielsetzung der Arbeit bestand darin, Erkenntnisse über das "Dunkelfeld" beziehungsweise die "Unfalldunkelziffer" der amtlichen Straßenverkehrsunfallstatistik in Deutschland zu gewinnen. Dazu wurde eine Datenerhebung in einem begrenzten Gebiet durchgeführt. Die Untersuchung sollte Hinweise ermöglichen über die Größe der Unfalldunkelziffer in Abhängigkeit von bestimmten Unfallmerkmalen sowie über die Struktur des Dunkelfeldes im Vergleich zur amtlichen Statistik. Als unterer Grenzwert für die Unfalldunkelziffer in der Pilotstudie wird ein Wert von 44 % angesehen. Die Untersuchung zeigt eine deutliche Abhängigkeit der Dunkelziffer von der Unfallschwere. Die Dunkelziffer liegt geringer bei Unfällen mit "ungeschützten" Unfallobjekten (Unfälle mit Fußgängern und Zweiradfahrern). Der Erfassungsgrad für Nachtunfälle ist größer als für Tagunfälle. Die Untersuchungsergebnisse zeigen insgesamt, dass die Struktur der amtlichen Statistik deutlich von der Struktur des Dunkelfeldes abweicht. Es wird die begründete Annahme ausgesprochen, dass die amtliche Verkehrsunfallstatistik unvollständig ist, wobei der Erfassungsgrad nicht einheitlich ist, sondern von verschiedenen Merkmalen (Unfallschwere, Unfallart, etc.) abhängt.
The overall purpose of the ASSESS project is to develop a relevant and standardised set of test and assessment methods and associated tools for integrated vehicle safety systems, primarily focussing on currently available pre-crash sensing systems. The first stage of the project was to define casualty relevant accident scenarios so that the test scenarios will be developed based on accident scenarios which currently result in the greatest injury outcome, measured by a combination of casualty severity and casualty frequency. The first analysis stage was completed using data from a range of accident databases, including those which were nationally representative (STATS19, UK and STRADA, SE) and in-depth sources which provided more detailed parameters to characterise the accident scenarios (GIDAS, DE and OTS, UK). A common analysis method was developed in order to compare the data from these different sources, and while the data sets were not completely compatible, the majority of the data was aligned in such a way that allowed a useful comparison to be made. As the ASSESS project focuses on pre-crash sensing systems fitted to passenger cars, the data selected for the analysis was "injury accidents which involved at least one passenger car". The accident data analysis yielded the following ranked list of most relevant accident scenarios: Rank Accident scenario 1 Driving accident - single vehicle loss of control 2 Accidents in longitudinal traffic (same and opposite directions) 3 Accidents with turning vehicle(s) or crossing paths in junctions 4 Accidents involving pedestrians The ranked list highlights the relatively large role played by "accidents in longitudinal traffic", and "accidents with turning vehicle(s) or crossing paths in junctions" (the second and third most prevalent accident scenarios, respectively). The pre-crash systems addressed in ASSESS propose to yield beneficial safety outcomes with specific regard to these accident scenarios. This indicates that the ASSESS project is highly relevant to the current casualty crash problem. In the second stage of the analysis a selection of these accident scenarios were analysed further to define the accident parameters at a more detailed level .This paper describes the analysis approach and results from the first analysis stage.
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.
Accidents with vulnerable road users require special attention within the road safety work because these accidents are often accompanied with severe injuries. Thus In 2006 at least 6200 Powered Two Wheeler (PTW) riders were killed in road crashes in the EU 25 representing 16% of the total number of road deaths while accounting for only 2% of the total kilometers driven. For the prevention of accidents with VRU above all the knowledge of the causes of the accidents is of special importance. This study is based on the methodology of the German In-Depth Accident Study GIDAS. Within GIDAS extensive data on various fields of accidentology are collected on-scene from road traffic accidents with injuries in the Hannover and Dresden area. Using a well defined sample plan the collected data is highly representative to the whole German situation (Brühning et al, Otte et al). The need of in-depth accident causation data in accident research led to the development of a special tool for the collection of such data called ACASS (Accident Causation Analysis with Seven Steps), which was implemented in the GIDAS methodology in 2008 and described by Otte in 2009.
The proportion of older road users is increasing because of demographic change (in the group 65+ from current 18% to about 24% by 2030). The mobility needs of people 65+ often differ from those of younger people. Seniors (65+) are already more involved in fatal accidents than younger road users. According to the age development, the senior share of road deaths in the EU of today is increasing nearly one-fifth to one-third. From the in-depth analysis of accidents generic simulation models were developed. Attention has been paid both to psycho-physical characteristics as well as on the social and physical environment and their specifics in conjunction with seniors. By simulating the defined scenarios and varying the defined relevant parameters, accident influencing factors were examined as a basis for avoidance. In addition, the parameters were varied to show the influence from the vehicle, the pedestrian and the infrastructure to avoid the accident or to characterize the conditions for which the accident is inevitable.
The National Highways Development Project in India is aimed at upgrading over 12,000 km of national highways from 2-lane undivided roads to 4-lane divided roads. With nearly 40% of fatal crashes being reported on national highways, the effect of this project on road safety needs to be assessed. Researchers carried out on-site crash investigations and in-depth crash data collection for a period of 45 to 60 days on four 2-lane undivided highways and a 4-lane divided highway. Based on 76 crashes examined, researchers found a shift of crash pattern from head-on collisions on undivided 2- lane highways to front-rear collisions on divided 4-lane highways. This paper presents the methodology, analysis of crashes examined, and the critical safety problems identified for greater consideration in future highway development projects. This paper also highlights the need and significance of in-depth crash investigations to understand local traffic conditions and problems in India.