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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.
Analysis of the accident scenario of powered two-wheelers on the basis of real-world accidents
(2013)
For the first time since 20 years the German national statistics of traffic accidents revealed an increasing number of fatalities and seriously injured persons in 2011. This negative development was especially caused by increasing numbers in all groups of vulnerable road users (VRU). Furthermore, the comparison of fatality reduction rates between several categories of road users shows that persons on motorcycles show the worst performance over years. Although every second fatality in German traffic accidents is still a car occupant, users of PTW make up more than 20% in the meantime. Assuming further improvements in the field of occupant protection this trend will continue. For that reason, a study on the basis of real-world accidents was conducted to describe the accident scenario involving motorcycles and to identify the reasons of the above-described fact. Approximately 1.800 motorcycle accidents out of GIDAS database were used for the analyses. The first part of the study deals with the question how representative the GIDAS database is for the German motorcycle accident scenario. Afterwards, detailed descriptive statistics on motorcycle accidents were presented considering numerous parameters about the accident scene, environmental influences, vehicle information, individual characteristics, interview data, injury severity and injury causation. One important point is the identification of the most frequent critical situations that are typical for motorcycle accidents. Furthermore, a special focus was on accident causation. Finally, conspicuous facts out of the analysis are emphasized. All in all, the study gives a comprehensive overview about the German motorcycle accident scenario. One the one hand, the use of weighted GIDAS data allows representative and robust statements on the basis of large case numbers; on the other hand highly detailed conclusions can be drawn. The results of the study help to understand the particularities of motorcycle accidents and provide approaches for further improvements in the field of PTW safety.
From literature well-known analyzes on risks, hazards and causes of accidents of older drivers are amended by the present study in which a comparison of the specific features of accident causes of older car drivers (older than 60 years) and of younger car drivers (under 25 years) is conducted. Mainly the question is pursued if specific errors, mistakes and lapses are predominant in the two different age groups. The analysis system ACAS (Accident Causation Analysis System) used hereby consists of a sequential system of accident causation factors from the human, the technical and the infrastructural field, whereupon for this study the influence of the human features on the accident development in two different age groups is of interest. ACAS is both an accident model and an analysis and classification system, which describes the human participation factors of an accident and their causes in the temporal sequence (from the perceptibility to concrete action errors) taking into consideration the logical sequence of individual basic functions. In five steps (categories) of a logical and temporal sequence the hierarchical system makes human functions and processes as determinants of accident causes identifiable. The methodology specifically focuses on the use in so-called "In-Depth" and "On-Scene" investigation studies. With the help of the system for each accident participant one or more of five hypotheses of human cause factors are formed and then specified by appropriate verification criteria. These hypotheses in turn are further specified by indicators in such manner that the coding of the causation factors by a code system meets the needs of database processing and are accessible to a quantitative data analysis. The first results of the descriptive comparison of the two age groups concern mainly differences in the functional levels "information admission/perception" (where the elderly drivers have more difficulties than the young ones) and "information processing/evaluation" (where the younger drivers show more problems). Concerning the cognitive function of "planning" the group of younger drivers seems to be more often involved in an accident because of excessive speed.
The effect of fatigue on driving has been compared to the effect of alcohol impairment in both driver performance and crash studies. However are crash characteristics and causation mechanisms similar in crashes involving fatigue to those involving alcohol when studied in the real world? This has been explored by examining data held in the EC project SafetyNet Accident Causation Database. Causation data was recorded using the SafetyNet Accident Causation System (SNACS). The focus was on Cars/MPV crashes and drivers assigned the SNACS code Alcohol or Fatigue. The Alcohol group included 44 drivers and the Fatigue group included 47. "Incorrect direction" was a frequently occurring critical event in both the Alcohol and Fatigue groups. The Alcohol group had more contributory factors related to decision making and the Fatigue group had more contributory factors relating to incorrect observations. This analysis does not allow for generalised statements about the significance of the similarities and differences between crashes involving alcohol and fatigue, however the observed differences do suggest that attempts to quantify the effect of fatigue by using levels of alcohol impairment as a benchmark should be done with care.
Die Ermittlung von Grundunfallkostenraten und Quantifizierung von Zuschlägen für Landstraßenquerschnitte sind Ziel dieses Forschungsvorhabens. Die Ergebnisse sollen eine Bewertungsgrundlage im Handbuch für die Verkehrssicherheit von Straßen (HVS) darstellen. 3.600 km Landstraße aus sechs Bundesländern liegen dem Untersuchungskollektiv zu Grunde. Neben dem mehrjährigen Unfallgeschehen bilden Daten der SIB und Erhebungen aus Streckenbefahrungen die Datengrundlage der Untersuchungen. Die Zuordnung der Streckenabschnitte erfolgte in Anlehnung an den Entwurf der Richtlinie für die Anlage von Landstraßen (RAL) in fünf verschiedene (Regel-) Querschnittsgruppen. Multivariate Modelle zur Beschreibung der Unfallhäufigkeit bilden die mathematische Grundlage der Analyse. Gegenüber monokausalen Betrachtungen weisen sie den Vorteil auf, eine Vielzahl von Einflussgrößen zu erfassen sowie mögliche Abhängigkeiten zwischen verschiedenen Variablen zu berücksichtigen. Für die verschiedenen Straßenquerschnitte und Einmündungen mit Vorfahrtregelung durch Verkehrszeichen wurden jeweils drei Modelle nach Unfallschwere erstellt. Zu Grunde liegende Merkmale wurden auf ihren signifikanten Erklärungsanteil zur Beschreibung der Unfallhäufigkeit geprüft und entsprechend im Modell als Zuschlag berücksichtigt. Auf Basis dieser Ergebnisse wurden Funktionen zum Verlauf der Unfallrate und Unfallkostenrate erzeugt. Grundunfallkostenraten beschreiben das fahrleistungsbezogene Unfallkostenniveau eines Netzelements, welches bei regelkonformem Ausbau der Strecke erreicht werden kann. Da in den Modellen auch Merkmale berücksichtigt sind, die kein Defizit im eigentlichen Sinne darstellen, entspricht die Höhe der UKR ohne jegliche Zuschläge einem Grundniveau. Diesem sind Zuschläge, unterteilt in Defizite und die Streckencharakteristik beschreibende Eigenschaften, zuzuordnen. Anhand der Modelle kann nachgewiesen werden, dass verschiedene Straßenquerschnitte ein unterschiedliches Grundsicherheitsniveau aufweisen. Zwischen Unfallhäufigkeit und DTV besteht ein nichtlinearer Zusammenhang. Die Unfallrate bzw. Unfallkostenrate stellt somit eine vom DTV abhängige Kenngröße dar. In Abhängigkeit des Querschnitts besitzen verschiedene Merkmale einen Einfluss auf die Verkehrssicherheit. Die Größenordnung der Zuschläge kann als Anteil am Grundniveau der UKR beschrieben werden. Die ermittelten Zuschläge wurden ggf. vergleichend betrachtet und im Rahmen einer plausibilisierten Bewertung der Querschnitte angepasst. In Anlehnung an das HVS erfolgt die Darstellung der Berechnung für Grundunfallkostenraten und deren Zuschläge für Landstraßenquerschnitte. Dabei werden zwei verschiedene Ansätze vorgestellt. Die Ergebnisse für Einmündungen mit Vorfahrtregelung durch Verkehrszeichen besitzen empfehlenden Charakter.
In Germany the number of casualties in passenger car to pedestrian crashes has been reduced by a considerable amount of 40% as regards fatalities and 25% with regard to seriously injured pedestrians since the year 2001. Similar trends can be seen in other European countries. The reasons for that positive development are still under investigation. As infrastructural or behavioral changes do in general take a longer time to be effective in real world, explanations related to improved active and passive safety of passenger vehicles can be more relevant in providing answers for this trend. The effect of passive pedestrian protection " specified by the Euro NCAP pedestrian test result " is of particular interest and has already been analyzed by several authors. However, the number of vehicles with some valid Euro NCAP pedestrian score (post 2002 rating) was quite limited in most of those studies. To overcome this problem of small datasets German National Accident Records have been taken to investigate a similar objective but now based on a much bigger dataset. The paper uses German National Accident Records from the years 2009 to 2011. In total 65.140 records of pedestrian to passenger car crashes have been available. Considering crash parameters like accident location (rural / urban areas) etc., 27.143 of those crashes have been classified to be relevant for the analysis of passive pedestrian safety. In those 27.143 records 7.576 Euro NCAP rated vehicles (post 2002 rating) have been identified. In addition it was possible to identify vehicles which comply with pedestrian protection legislation (2003/102/EG) where phase 1 came into force in October 2005. A significant correlation between Euro NCAP pedestrian score and injury outcome in real-life car to pedestrian crashes was found. Comparing a vehicle scoring 5 points and a vehicle scoring 22 points, pedestrians" conditional probability of getting fatally injured is reduced by 35% (from 0.58% to 0.37%) for the later one. At the same time the probability of serious injuries can be reduced by 16% (from 27.4% to 22.9%). No significant injury reducing effect, associated with the introduction of pedestrian protection legislation (phase 1) was detected. Considerable effects have also been identified comparing diesel and gasoline cars. Higher engine displacements are associated with a lower injury risk for pedestrians. The most relevant parameter has been "time of accident", whereas pedestrians face a more than 2 times higher probability to be fatally injured during night and darkness as compared to daytime conditions.
Trauma management (TM) covers two types of medical treatment: the initial one provided by Emergency Medical Services (EMS) and a further one provided by permanent medical facilities. There is a consensus in the professional literature that to reduce the severity and the number of road crash victims, the TM system should provide rapid and adequate initial care of injury, combined with sufficient further treatment at a hospital or trauma centre. Recognizing the important role of TM for reducing road crash injury outcome, it was decided, within the EU funded SafetyNet project, to develop road safety performance indicators (SPIs) which would characterize the level of TM systems" performance in European countries and enable country comparisons. The concept of TM SPIs was developed based on a literature study of performance indicators in TM, a survey of available practices in Europe and data availability examinations. A set of TM SPIs was introduced including 14 indicators which characterize five issues such as: availability of EMS stations; availability and composition of EMS medical staff; availability and composition of EMS transportation units; characteristics of the EMS response time, and availability of trauma beds in permanent medical facilities. Basic information on the TM systems was collected in close cooperation with the national expert group. A dataset with TM SPIs for 21 countries was created. It was demonstrated that the countries can be compared using selected TM SPIs. Moreover, a more general comparison of the TM systems' performance in the countries is possible, using multiple ranking and statistical weighting techniques. By both methods, final estimates were received enabling the recognition of groups of countries with similar levels of the TM system's performance. The results of various trials were consistent as to the recognition of countries with high or low level of the TM systems" performance, where in grouping countries with intermediate levels of the TM system's performance some differences were observed. The SafetyNet project's practice demonstrated that data collection for estimating TM SPIs is not an easy task but is realizable for the majority of countries. The TM SPIs" message is currently limited to the availability of trauma care services. Further development of the TM SPIs should focus on characteristics of actual treatment supplied, based on combined police and medical road crash related databases.
Within this paper different European accident data sources were used to investigate the causations and backgrounds of road traffic accidents with pedestrians. Analyses of high level national data and in-depth accident data from Germany and Great Britain was used to confirm and refine preliminary accident scenarios identified from other sources using a literature review. General observations made included that a high proportion of killed or seriously injured pedestrian casualties impacted by cars were in "dark" light conditions. Seven accident scenarios were identified (each divided into "daylight" and "dark" light conditions) which included the majority of the car front-to-pedestrian crash configurations. Test scenarios were developed using the identified accident scenarios and relevant parameters. Hypothetical parameters were derived to describe the performance of pedestrian pre-crash systems based on the assumption that these systems are designed to avoid false positives as a very high priority, i.e. at virtually all costs. As result, three "Base Test Scenarios" were selected to be developed in detail in the AsPeCSS project. However, further Enhanced Test Scenarios may be needed to address environmental factors such as darkness if it is determined that system performance is sensitive to these factors. Finally, weighting factors for the accident scenarios for Europe (EU-27) were developed by averaging and extrapolation of the available data. This paper represents interim results of Work Package 1 within the AsPeCSS project.
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.