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In the course of the EUROPEAN PROJECT TRACE all fatally injured pedestrians autopsied at the Institute for Legal Medicine in Munich in 2004 had been analysed by using the "Human Functional Failure (HFF) analysis" method. It was possible to apply this method although some restrictions have to be taken into account. The results derived from this analysis comprise first the failures the pedestrians (most often "impairment of sensorimotor and cognitive abilities") and the opponents (most often " Non-detection in visibility constraints conditions") faced in the accident, second the conflicts and tasks (pedestrian crossing the street conflicting with a vehicle from the side (which was going ahead on a straight road), the degree of accident involvement (pedestrians often the primary active part), and further the contributing factors to the accident (pedestrians most often "alcohol (> 0.05% BAC)", opponents most often "visibility constraints").
Although road infrastructure is developed extensively Brazil is still one of the countries with the most dangerous roads in the world. In order to stop the increasing trend of traffic fatalities of the last few years and to improve traffic safety on Brazilian roads a pilot study on behalf of SAE Brazil started in March 2016 with the goal to lay the foundations for a long-term research activity. Piloting for an in-depth accident investigation the city of Campinas, roughly 100 km north of São Paulo was chosen. The pilot project was carried out with the local partner, the Empresa Municipal de Desenvolvimento de Campinas (EMDEC). The paper reports on the initial training of evidence based accident data collection on-spot, the implementation of the new digital database, the data collection and the first results. An outlook on the planned long-term accident investigations is given.
This paper gives an overview of the in-depth crash investigation activity conducted by the Centre for Automotive Safety Research (CASR) at the University of Adelaide, in South Australia. Recent changes in method include: an expansion in on-call hours for the crash investigation team, providing the option of a phone interview for crash participants to discuss the crash, and downloading objective crash data from vehicle airbag control modules. These changes have resulted in: increased representativeness of crashes by hour of day; a decrease in the over-representation of fatal crashes in our sample; an increase in the proportion of crashes that involved a pedestrian, bicycle or scooter (moped); an increase in the proportion of crash participants consenting to an interview; and an increase in the objective data available, through airbag control module downloads. Our in-depth crash investigations enabled research into road departures that found barriers were a more feasible solution than clear zones for eliminating serious and fatal injury resulting from run off road crashes.
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.
As the official German catalogue of accident causes has difficulty in matching the increasing demands for detailed psychologically relevant accident causation information, a new system, based on a "7 Steps" model, so called ACASS, for analyzing and collecting causation factors of traffic accidents, was implemented in GIDAS in the year 2008. A hierarchical system was developed, which describes the human causation factors in a chronological sequence (from the perception to concrete action errors), considering the logical sequence of basic human functions when reacting to a request for reaction. With the help of this system the human errors of accident participants can be adequately described, as the causes of each range of basic human functions may be divided into their characteristics (influence criteria) and further into specific indicators of these characteristics (e.g. distraction from inside the vehicle as a characteristic of an observation-error and the operation of devices as an indication for distraction from inside the vehicle. The causation factors accordingly classified can be recorded in an economic way as a number is assigned to each basic function, to each characteristic of that basic function and to each indicator of that characteristic. Thus each causation factor can be explicitly described by means of a code of numbers. In a similar way the causation factors based on the technology of the vehicle and the driving environment, which are also subdivided in an equally hierarchical system, can be tagged with a code. Since the causes of traffic accidents can consist of a variety of factors from different ranges and categories, it is possible to tag each accident participant with several causation factors. This also opens the possibility to not only assign causation factors to the accident causer in the sense of the law, but also to other participants involved in the accident, who may have contributed to the development of the accident. The hierarchical layout of the system and the collection of the causation factors with numerical codes allow for the possibility to code information on accident causes even if the causation factor is not known to its full extent or in full detail, given the possibility to code only those cause factors, which are known. Derived from the systematic of the analysis of human accident causes ("7 steps") and from the practical experiences of on-scene interviews of accident participants, a system was set in place, which offers the possibility to extensively record not only human causation factors in a structured form. Furthermore, the analysis of the human causation factors in such a structured way provides a tool, especially for on-scene accident investigations, to conduct the interview of accident participants effectively and in a structured way.
Cyclists are more likely to be injured in fatal crashes than motorised vehicles. To gain detailed and precise behavioural data of road users, i.e. trajectories, a measuring campaign was conducted. Therefore, a black-spot for accidents with cyclists in Berlin, Germany was selected. The traffic has been detected by a fully automated traffic video analysis system continuously for twelve hours. The video surveillance system is capable of automatically extracting trajectories, classifying road user types and precise determining and positioning of conflicts and accidents. Additionally, pre-conflict and pre-accident situations could be analysed to provide further in-depth understanding of accident causation. The evaluation of the measuring campaign comprised the investigation of traffic parameters, e.g. traffic flow, as well as traffic-safety related parameters based on Surrogate Safety Measures (SSM). Furthermore, the spatial and temporal distributions of conflicts involving cyclists were determined. As a result, three possible conflict clusters could be identified, of which one cluster could be confirmed by detailed video analysis, showing conflicts caused by right turning vehicles.
Das Merkblatt zur Verbesserung der Verkehrssicherheit auf Motorradstrecken (MVMot (FGSV, 2007)) gibt bereits Hilfen zur Bestimmung unfallauffälliger Bereiche von Motorrädern auf Landstraßen. Bisher existiert aber kein Merkblatt, welches den Bereich innerhalb geschlossener Ortschaften abdeckt, obwohl etwa 2/3 der Unfälle mit Personenschaden unter Beteiligung motorisierter Zweiradfahrer (MZR) innerorts stattfinden (DESTATIS, 2012). Mit Hilfe theoretischer Ansätze werden geeignete Grenzwerte entwickelt, um unfallauffällige Bereiche (UAB) für MZR im Innerortsbereich zu erkennen und abzugrenzen. Neben der Bestimmung eines Grenzwerts über die absolute Anzahl an Unfällen unter Beteiligung von MZR wurde auch der Ansatz über den Relativanteil an allen Unfällen in einer Unfallhäufungsstelle (UHS nach M-Uko (FGSV, 2012)) gewählt. Die theoretischen Überlegungen zur Grenzwertbestimmung basieren auf einer Optimierung des Aufwands an zu bearbeitenden UAB im Hinblick auf den Nutzen, bestehend aus den dadurch bearbeiteten Unfällen. Aus typischen Unfallkonstellationen und Defiziten in den bestimmten UAB wurden typische Unfallkonstellationen abgeleitet. Spezielle Defizite einer Unfallkonstellation ergaben sich aus der Analyse der Örtlichkeit und der Unfalltexte. Den Defiziten wurden geeignete Maßnahmen gegenübergestellt und in einem Maßnahmenkatalog zusammengefasst. Unter Verwendung multivariater statistischer Modelle wurden Wirkungen einzelner (stetiger) Größen auf das Unfallgeschehen bzw. die Beschreibung systematischer Auswirkungen einzelner (kategorialer) Merkmale beschrieben. Es wurden sowohl Streckenmodelle als auch Knotenpunktmodelle des Hauptstraßennetzes entwickelt, die sich in ihrer Vorfahrtsregelung und Knotenpunktform unterscheiden. Es wurden nur für Elemente des Straßennetzes mit Angaben zur Verkehrsstärke Modelle erstellt. Modelle für Knotenpunkte, an denen die Verkehrsbelastung bekannt ist, konnten zwischen 60-70 % der systematischen Varianz der Unfallhäufigkeit beschreiben. Der Großteil ist allein auf den Einfluss der Verkehrsstärken auf der Haupt- und Nebenrichtung zurückzuführen. Weitere Unterschiede in der Unfallhäufigkeit werden durch den systematischen Einfluss von Straßenbahngleisen, Fußgängerquerungen in Geschäftsstraßen (Anzahl der Dienstleistungen im Umfeld als Stellvertretervariable) und den Zustand der Fahrbahnoberfläche (Anzahl der Haltstellen im Umfeld als Stellvertretergröße für Spurrillen) erklärt. An Strecken ergeben sich die Unterschiede der Unfallhäufigkeit zusätzlich aus variierenden Streckenlängen. Die Untersuchung der UAB zeigte folgende häufig auftretende Defizite: - spitzwinklige Befahrung von Straßenbahngleisen, - fehlende Sicht, - Spurrillen, - Kreisverkehrszufahrten am Ortseingang nach Innerortsstandard, - schlecht erkennbare Wartepflicht, - Griffigkeitswechsel (Bitumenvergüsse, großflächige Bodenmarkierungen), - hohe Geschwindigkeiten, - plötzliche Bremsvorgänge. Für häufig vorkommende Unfallkonstellationen können anhand des Maßnahmenkatalogs auf typische sicherheitsrelevante Defizite innerorts hingewiesen werden und situationsgerechte und wirkungsvolle Maßnahmen vorgeschlagen werden.
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.
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.
The misuse of CRS (child restraint system) is one of the most urgent problems in connection of child safety in cars. Numerous field studies show that more than two thirds of all CRS are used in a wrong way. This misuse could lead to serious injuries for the children. Surprisingly the quality of CRS use is coded much better in accident data (e.g. GIDAS) than the results of observatory field studies show. It is expected that misuse of CRS was not detected by the accident teams in a large number of the cases. An essential part in improving child seats and their usability is the knowledge of the relation between misuse and resulting injuries. For that the analysis and experimental reconstruction of accidents is an important part. For allowing an exact experimental accident reconstruction, it is necessary to have detailed information about the securing situation of the child and about the installation of the CRS in the car.