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Although the annual traffic accident statistics published by the national police is available in public, the detailed traffic accident data has not been released in Korea. Recently the Ministry of Land, Infrastructure and Transport recognized the importance of in-depth accident data to enhance road traffic safety and initiated a research project to establish a collection of the detailed accident data. The main objective of the project is a feasibility study to establish KIDAS (Korea In-Depth Accident Study). Within this project, three university hospitals which are located in mid-size cities have been selected to collect accident data. Annually, more than 500 cases of accidents have been collected from the in-patient's interviews and diagnosis. Unlike GIDAS (German In-Depth Accident Study), currently on-site investigation can"t be performed by the Korean police. The only available data is patient medical records, patient's description of accident circumstances and the damaged vehicle. Occasionally the police provide the accident investigation reports containing very brief information on accident causation and vehicle safety. In a first step, the concept of KIDAS is to adopt the format of iGLAD (Initiative for the Global Harmonization of Accident Data) for harmonization. Since the currently collected accident information is extremely limited compared with GIDAS, the other sources of data and calculations such as KNCAP vehicle data, pc-crash simulations, vehicle registration information, insurance company data are utilized to complete the iGLAD template. Results from KIDAS_iGLAD and the cases of assessment of active safety devices such as AEBS, ESC, and LDWS will be evaluated.
The paper gives an overview of the recent (mostly 2012) figures of killed bus/coach occupants (drivers and passengers) in 27 Member States of the European Union as reported by CARE. The Evolution of the figures of bus/coach occupants killed in road accidents urban, rural without motorway and on motorways from 1991 to 2010 in 15 Member States of the EU supplements this information. More detailed are the figures reported for Germany by the Federal Statistics. The paper displays long-term evaluations (1957 to 2012) for killed, seriously and slightly injured occupants in all kinds of buses/coaches. Midterm evaluations (1995 to 2012) of the figures of fatalities and casualties are displayed for different busses according to their identification of road using as coaches, urban buses, school buses, trolley buses and "other buses". To be able to compare the evolutions of the safety of vehicle occupants it is customary to use different risk indicators. Calculations and illustrations for three often used indicators with their development over time are given: fatalities, seriously injured and slightly injured per 100,000 vehicles registered, per 1 billion (109) vehicle-kilometres travelled and per 1 billion (109) person-kilometres. These indicators are shown for occupants of cars, goods vehicles and buses/coaches. For the period from 1957 until 2012 it is obvious, that for all three vehicle categories analysed there was a clear long-term trend towards more occupant safety in terms of casualties per vehicles registered and per vehicle mileage. This was most significant for car occupants but it can be seen for bus/coach occupants and goodsvehicle occupants as well. Figures of killed occupants and of casualties related to person-kilometres are calculated and displayed for the shorter period 1995 to 2012. Here it becomes obvious that the bus/coach is still the safest mode of transport for the occupants of road vehicles. Graphs for the casualty risk indices still show significantly higher risks for car occupants despite the corresponding curve moved sustainable downwards. It is remarkable, that the risks of being killed or injured for the occupants of urban buses is growing whereas the corresponding risk for the occupants of coaches in line traffic tends downwards. The article ends with a short comparison and discussion of the risk indicators which are actually published for the occupants (driver and passengers) of cars and the passengers of buses/coaches, railroads, trams and airplanes. The interpretation of such information depends on the perception and it seems that for a complete view not only one indicator should be used and the evolutions of the indicator values during longer periods (as displayed with examples in the paper) should also be taken into account.
Data concerning accidents involving personal injury which have been collected in the context of in-depth investigations on scene in the Hannover area since 1973 and in the Dresden area since 1999 represent an important basis for empirical traffic safety research. At national and international level various analyses and comparisons are carried out on the basis of "in-depth data" from the above mentioned investigations. In-depth data play a decisive role e.g. within the validation of EuroNCAP results on secondary safety (crashworthiness) of individual passenger car models. Thus, statistically sound methods of data analysis and population parameter estimation are of high importance. Since the 1st of August 1984 the "in-depth investigations on scene" in the Hannover area have been carried out according to a sampling plan developed by HAUTZINGER in the context of a research project on behalf of BASt. In the meantime a second region of in-depth investigation on scene was added with surveys in Dresden and the surrounding area. Internationally, the acronym GIDAS (German In-Depth Accident Study) is commonly used for the two above mentioned surveys. The objective of a current research project (topic of this contribution) is, among other things, to examine and adjust the previous weighting and expansion method for the two regional accident investigations to the current general conditions.
Seit dem 1. Januar 1999 werden in Deutschland im Zentralen Fahrerlaubnisregister (ZFER) sämtliche erteilten Fahrerlaubnisse gespeichert. Informationen zum Fahrerlaubnisbestand bietet das ZFER aber nur begrenzt, denn der Wegfall von Fahrerlaubnissen durch Tod oder Wanderung kann nicht abgebildet werden. Außerdem fehlt ein Großteil der Alt-Fahrerlaubnisse. Aufgabe des Projektes war es daher, ein Verfahren zur jährlichen Fortschreibung einer Statistik zum Fahrerlaubnisbesitz für Deutschland zu entwickeln und für die Jahre 2002, 2003 und 2004 zu implementieren. Betrachtet werden neun nach Fahrzeugkategorien zusammengefasste Klassen (B/BE, C1/C1E,C/CE, D1/D1E/D/DE, A/A1 M, L, S (erst ab Fortschreibungsjahr 2005) und T. Der Anfangsbestand jeder Klasse für das Jahr 2002 wurde auf Basis der Ergebnisse empirischer Erhebungen und Informationen aus dem ZFER und unter Berücksichtigung geltender Übergangregelungen für Alt-Fahrerlaubnisse bestimmt. Die jährliche Fortschreibung in jeder Klasse geschieht in einem nach Geschlecht und Altersjahren differenzierten Bevölkerungskohortenmodell. Sie folgt dem konzeptionellen Grundgedanken, dass der Bestand zum Ende eines Jahres sich aus dem Bestand zum Ende des Vorjahres zuzüglich der Zugänge (Neuerteilungen, Zuwanderungen) und abzüglich der Abgänge (Todesfälle, Fortzüge) ergibt. In Abhängigkeit von den Regelungen jeder Fahrerlaubnisklasse (zum Beispiel Befristung der Geltungsdauer, Bestandsschutz für Alt-Fahrerlaubnisse) wurde die Konzeption entsprechend differenziert und angepasst. Das Ergebnis ist eine nach Alter, Geschlecht und Fahrerlaubnisklassen differenzierte Statistik, die die Zahl der Berechtigungen zum Führen eines Fahrzeugs ausweist, unabhängig davon in welchem Umfang von diesen Berechtigungen Gebrauch gemacht wird. Der vorliegende Bericht ist eine gekürzte Fassung des Forschungsberichtes. Während in letzterem die einzelnen Schritte der Erstellung der Fahrerlaubnisstatistik ausführlich und nachvollziehbar dargestellt sind, ist das Ziel des vorliegenden Berichtes eine ergebnisorientierte Darstellung der Fahrerlaubnisstatistik und ihrer Komponenten. Der ausführliche Bericht einschließlich eines gesonderten Tabellenanhangs liegen bei der Bundesanstalt für Straßenwesen vor.
In the context of this study, different data sources for accident research were examined regarding their possible data access and evaluated concerning the individual quality and extent of the data. Analyses of accidents require detailed and comprehensive information in particular concerning vehicle damages, injury patterns and descriptions of the accident sequence. The police documentation supplies the basic accident statistics and is amended in the context of the forensic treatment by further information, e.g. by medical and technical appraisals and witness questionings. As a new approach to the data acquisition for the analysis of fatal traffic accidents, the information was made usable which was collected by the police and by the investigations of the public prosecutor. The best strategy for obtaining reliable, extensive and complete data consists of combining the information from these two sources: the very complete, but elementary statistic data of the Niedersächsisches Landesamt für Statistik (Lower Saxony State Authority of Statistics), based on the police documentation as well as the very extensive accident information resulting from the investigation documentation of the public prosecutor after conclusion of the procedure, the so-called Court Records. Of all 715 fatal traffic accidents, which happened in the year 2003 in the German State of Lower Saxony, 238 cases were selected by means of a statistically coincidental selective procedure based on a statistically representative manner (every third accident). These cases cover the investigation documents of the 11 responsible public prosecutor- offices, which were requested and evaluated while preserving the data security. Of the 238 cases 202 cases were available, which were individually coded and stored in a data base using 160 variables. Thus a data base of a sample of representative data for fatal accidents in Lower Saxony was set up. The data base contains extensive information concerning general accident data (35 variables), concerning road and road surface data (30 variables), concerning vehicle-specific data (68 variables) as well as concerning personal and injury data (27 variables).
Ziel dieses Forschungsvorhabens war es, das bisherige Gewichtungs- und Hochrechnungsverfahren für die örtlichen Unfallerhebungen in den Regionen Hannover und Dresden zu überprüfen und an die aktuellen Rahmenbedingungen anzupassen. Darüber hinaus sollten neue Möglichkeiten der gemeinsamen Hochrechnung von Ergebnissen aus beiden Erhebungsgebieten unter Berücksichtigung der aktuellen Datenlage, insbesondere in der amtlichen Unfallstatistik, untersucht und entsprechende statistische Verfahren entwickelt werden. Der Stichprobenplan der Erhebungen folgt einem zweistufigen Stichprobenverfahren. Tests mit einem zweistufigen Hochrechnungsverfahren der Hannover-Stichproben 2000 und 2001 auf die Gesamtheit Hannover haben jedoch ergeben, dass die theoretisch zu erwartenden Vorteile dieser zweistufigen Methode im Vergleich zur "einfachen Gewichtung" in der Praxis relativ gering sind. Unter Beibehaltung der bisherigen Gewichtungsprozedur (Anpassung an eine n-dimensionale Kontingenztabelle) wurden daher für die regionalen Hochrechnungen Dresden und Hannover alternative Methoden entwickelt, in der z.B. das Merkmal Ortslage durch die Unfallart ersetzt oder zusätzlich die Anzahl Unfallbeteiligter zur Gewichtung herangezogen wird. Leider erbringen diese Verfahren im Vergleich zur bisherigen (simultanen) Gewichtung nach Unfallschwere, Tageszeit und Ortslage nur wenige oder gar keine Verbesserungen der Anpassungsgenauigkeit bei Merkmalen der amtlichen Statistik, die nicht in die Gewichtung eingehen. Unabhängig vom Gewichtungsverfahren lässt die Abbildungsgenauigkeit bei einzelnen Variablen sehr zu wünschen übrig. Auf der Basis der Stichprobendaten 2000 wurde ferner noch ein Gewichtungsverfahren für Hochrechnungen auf das Bundesgebiet entwickelt und anhand der beiden Einzelstichproben sowie der gepoolten Stichprobe (Dresden plus Hannover) getestet. Die gepoolten Stichprobe zeigte die besten Ergebnisse. Allerdings ließen sich auch auf der Grundlage der gepoolten Daten nicht bei allen Merkmalen (gemeint sind hier Merkmale, die nicht Gewichtungsmerkmale sind) Verbesserungen des Fits erzielen. Es bleiben relativ große Abweichungen zwischen der gewichteten gepoolten Stichprobe und den bundesdeutschen Verteilungen. Es ist zu erwarten, dass auch bei vielen GIDAS Merkmale durch die Gewichtung keine essentielle Korrektur der Stichprobenverzerrungen erzielt werden kann. Insgesamt hat sich gezeigt, dass es auch mit alternativen, meist hierarchischen Gewichtungsverfahren nicht möglich ist, alle Merkmale, deren Verteilungen aus der amtlichen Statistik bekannt sind, mit hinreichender Genauigkeit an die Verhältnisse der Grundgesamtheit anzupassen. Es ist zu erwarten, dass sich dies bei den eigentlich hochzurechnenden originären GIDAS-Variablen ähnlich darstellt. Somit muss der Ansatz eines einheitlichen Verfahrens für alle Jahre und beide Erhebungsgebiete in Frage gestellt werden. Für besonders wichtige Fragestellungen sollte daher eine spezielle, auf das jeweilige Untersuchungsmerkmal abgestellte Gewichtung durchgeführt werden, wie dies exemplarisch am Beispiel der maximalen Kollisionsgeschwindigkeit gezeigt wurde. Schließlich werden im Bericht noch Empfehlungen zur Datenqualität und zu der Frage gegeben, wie sich das derzeit praktizierte Stichprobenverfahren im Hinblick auf die Gewinnung einer repräsentativen Stichprobe möglicherweise verbessern lässt.
The increasing economics in India has an enormous growth of its road traffic. As observed from official Indian accident statistics the number of road fatalities are one of the highest worldwide. In contrast to most industrialized nations they have an rapidly increasing trend. To come along with this trend it becomes more than essential to understand the traffic accident situation. The official Indian accident statistics gives a glimpse of only basic information. Therefore more detailed data is needed. By using In-depth accident data and officially representative statistics the current accident situation can be evaluated in India, if a suitable weighting methodology is considered. Hence in 2009/2010 a pilot study with the collaboration partner JP-Research India pvt. Ldt. was gathered in Tamil Nadu in south of India. In-depth accident investigations were done around the Coimbatore area on four highways. At first, the collected data is evaluated. Due to consequent and continuous further development based on the first approach a methodology similar to NASS/CDS/GES in the US and GIDAS in Germany was developed. Of course all relevant accident related parameters including pictures and severity information were collected. As a matter of fact based on scaled sketches and reconstruction benefit analyses can be done in order to analyze the accident scenery in India. As a first outcome influence from infrastructure, missing education and vehicle safety were identified as key parameters in order to reduce the number of accidents and casualties. To compare the accident situation against international standards an accident classification for left hand traffic was developed based on the German Insurance classification system. Looking into detail additional accident types were identified and added to create an Indian accident type catalogue. The positive results encouraged several OEMs to participate in this investigation and together with BOSCH a consortium was established in 2010/11. Within one year from beginning in May 2011 about 200 highway accidents were collected, reported and reconstructed using the new standard. Hence a first good overview of the accident situation is available for the Coimbatore Tamil Nadu area. The major target for establishing accident investigations is the extension towards other states of India and urban areas to achieve a better overview of the accident scenery. Therefore local and national authorities have to be embedded in order to strengthen the awareness against traffic safety.
India is one of the leading countries reporting highest road accidents & related injuries. TMARG (Tata Motors Accident Research Group) has been recording crashes in association with M/s. Lokamanya Medical Foundation since 2011 with M/s, Amandeep Hospitals since Aug 2013. This study has highlighted some accident types not discussed extensively in literature. Trucks to Truck impacts " Cabin interaction with overhanging loadbody structures and Offset underside impacts for passenger vehicles are seen in significant numbers. The paper discusses these in more detail including severity.
This study analyses no.39 cases in which n.41 motorcyclists were fatally injured, or 36% of total motorcycle fatalities in Northern Ireland between 2004 and 2010 (n.114). There were n.17 cases (43.6%) where the actions of another vehicle driver caused the collision, in thirteen of these cases the motorcycles had their lights switched on. The remaining n.22 collisions (56.4%) were due to the actions of the motorcyclist. In the approach to the collision scene, there were n.13 cases (31.7%) in which the approach was a right hand bend and in n.8 (19.5%) cases, the approach was a left hand bend. In the remaining n.18 (43.9%) cases, the approach was a straight road. Of the n.17 (41.4%) motorcycles that slid after falling, n.10 (24.4%) fell onto their right side and the remaining n.7 (17.1%) fell onto their left side. The information from this study identifies primary and contributory causes of motorcycle collisions.
The main objective of EC CASPER research project is to reduce fatalities and injuries of children travelling in cars. Accidents involving children were investigated, modelling of human being and tools for dummies were advanced, a survey for the diagnosis of child safety was carried out and demands and applications were analysed. From the many research tasks of the CASPER project, the intention of this paper is to address the following: • In-depth investigation of accidents and accident reconstruction. These will provide important points for the injury risk curve, in order to improve it. Different accident investigation teams collected data from real road accidents, involving child car passengers, in five different European countries. Then, a selection of the most appropriate cases for the injury risk curve and the purposes of the project was made for an in-depth analysis. The final stage of this analysis was to conduct an accident reconstruction to validate the results obtained. The in-depth analysis included on-scene accident investigation, creating virtual simulations of the accident/possible reconstruction, and conducting the reconstruction. In the cases of successful reconstructions, new points were introduced to the injury risk curves. Accident reconstructions of selected cases were carried out in test laboratories as the next step following in-depth road accident investigation. These cases were reconstructed using similar child restraint systems (CRS) and the same type make and model as in the real accidents. Reconstructing real cases has several limitations, such as crash angle, cars" approximation paths and crash speed. However, a few changes and applications on the testing conditions were applied to reduce the limitations and improved the representations of the real accidents. After conducting the reconstructions, a comparison between the deformations of the cars on the real accident and the vehicles from the reconstructions was made. Additionally, a correlation between the data captured from the dummies and the injury data from the real accident was sought. This finalises an in-depth analysis of the accident, which will provide new relevant points to the injury risk curve. The CASPER project conducted a large research programme on child safety. On technical points, a promising research area is the developing injury risk curves as a result of in-depth accident investigations and reconstructions. This abstract was written whilst the project was not yet finished and final results are not yet known, but they will be available by the time of the conference. All the works and findings will not necessarily be integrated in the industrial versions of evaluation tools as the CASPER project is a research program.