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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.
Analysis of pedestrian leg contacts and distribution of contact points across the vehicle front
(2015)
Determining the risk to pedestrians that are impacted by areas of the front bumper not currently regulated in type-approval testing requires an understanding of the target population and the injury risk posed by the edges of the bumper. National statistics show that approximately 10% of all accident casualties are pedestrians, with 20% to 30% of these pedestrian casualties being killed or seriously injured. However, the contact position across the front of the bumper is not recorded in national statistics and so in-depth accident databases (OTS, UK and GIDAS, Germany) were used to examine injury risk in greater detail. The results showed that some injury types and severities of injuries appear to peak around the bumper edges. Although there are sometimes inconsistencies in the data, generally there is no evidence to suggest that the edges of the bumper are less likely to be contacted or cause injury.
In this study, the mean profile depth (MPD) that expresses roughness of road pavements was calculated using the road survey equipment vehicle and the calculated MPD was compared with the real number of traffic accidents. The analysis method used in this study was to classify the appropriate clustering in relation to traffic accidents using the K-means clustering and to compare this with the presence of traffic accidents via the MPDs to derive the result. K-means clustering was used in the analysis method and four clusters were found using the clustering analysis results. The center of each cluster was 0.627, 0.850, 1.118, and 1.237, respectively. The result of this study is expected to be utilized as foundational research in the traffic safety area.
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.
Radfahrer-Schutzhelme sind ab Mitte der 70er Jahre durch Einsatz von neuen Materialien entscheidend verbessert worden. Sie bestehen heute fast immer aus einer circa 20 Millimeter dicken Schale aus geschäumtem Polystyrol, und in den meisten Fällen existiert eine zusätzliche harte Aussenschale. Für diese Helme wurden Sicherheitsstandards unter anderem in den USA und Australien erarbeitet, deren Schwerpunkte im Stoßdämpfungstest und in der Belastung der Helm-Trageeinrichtung liegen. In Anlehnung an diese Standards wurden 15 Helme des deutschen Marktes nach dem Testverfahren gemäß ECE-R22 für Motorradhelme, jedoch mit einer reduzierten Fallhöhe von 1 Meter, geprüft. Die Mehrheit der Helme erreichte maximale Verzögerungen von unter 200 Gramm, was den Zielvorstellungen vom Arbeitspapier DIN 33954 entspricht. Die Trageeinrichtungen erfüllen alle die vorgegebenen Festigkeitsanforderungen. Eine Literaturstudie zeigt große Helmtrageaktivitäten besonders in Australien, den USA und in Schweden. In diesen Ländern wurde die Helmtragequote seit vielen Jahren durch entsprechende Werbekampagnen, besonders bei Schulkindern, erheblich gesteigert. Der Abbau von psychologischen Barrieren, wie auch staatliche Unterstützung beim Kauf eines Helmes, gehörten zu den Maßnahmen. Bei einzelnen Gruppen wurden Tragequoten bis zu 30 Prozent ermittelt. Demgegenüber sind Radfahrer-Schutzhelme in der Bundesrepublik Deutschland lediglich bei sportlichen Veranstaltungen, weniger jedoch im öffentlichen Straßenverkehr auszumachen.
Die Bundesanstalt für Straßenwesen hat eine Projektgruppe eingerichtet, deren Aufgabe es ist, die Erkenntnisse über Sachstand und Entwicklungen auf dem Gebiet des Rettungswesens zu systematisieren und zu interpretieren. Auf dieser Grundlage werden Problembereiche beschrieben und Vorschläge für Forschungsaktivitäten erarbeitet, die unter anderem im Rahmen der Forschungsplanung der BASt berücksichtigt werden sollten, beziehungsweise die von anderen Trägern mit Unterstützung durch die BASt durchgeführt werden sollten. Für den Projektgruppenbericht wurden folgende Themenschwerpunkte genannt: 1. Laienhilfe - ein problematischer Bereich des Rettungswesens, 2. Sind Notfallrettung und Krankentransport eine Einheit?, 3. Kommunikation und Kommunikationssysteme im Rettungswesen, 4. Notarztsysteme - Bestandsaufnahme und kritische Wertung, 5. Bewältigung eines Massenanfalls von Verletzten, 6. Die Verbindung von Rettungsdienst und Krankenhaus - eine Schwachstelle?, 7. Leistungsfähigkeit, Wirksamkeit und Effizienz von Rettungssystemen.
Each year the traffic accident research teams in Dresden and Hanover provide an in-depth investigation of approximately two thousand accidents, aggregated in the GIDAS database. To accomplish a comprehensive review of each traffic accident recorded, a sensible and thorough encoding of suffered injuries is indispensable. The Abbreviated Injury Scale by AAAM offers a valuable and handy solution to achieve this goal. However, there were a few difficulties in the use of the AIS that came up in the past, which let to necessary improvements for the utilization of the AIS 2005 for GIDAS.
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.
This contribution introduces a number of psychological methods of analysis that are based on the practice-oriented collection of information directly at the site of an accident and that allow for an analysis and coding of the accident causes. Investigation examples and examples of the data combinations with basic medical and technical data are outlined. Objective of the collection is the inter-disciplinary investigation of human factors in the causes of accidents ("human-factor-analysis"). The psychological data are incorporated according to an integrative model for accident causes based on empiric algorithms in the data base of the accident research, where the clustered evaluation potential of comprehensive factors of the accident development can be illustrated. The central theoretical concept for the basic model of the progress of the accident from a psychological point of view comprises psychological indicators for the evaluation of the site of the accident for the analysis of the perception conditions as well as a classification of the gleaned data into the accident progress model according to chronological and local criteria. Perception conditions, action intentions and executions as well as conditions limiting perception and actions are acquired, using a questionnaire for persons involved in an accident, and are also integrated into the data structure concerning weighted feature characteristics as well as combined with other relevant features. Suitable systematization tools for the collection and coding of psychological accident development parameters have to be provided, which require primarily a model image of the corresponding processes from the persons involved in the accident (perceptions, expectations, decisions, actions). The interactive accident model contains components of the models by KÜTING 1990, MC DONALD 1972, SURREY 1969 and RASMUSSEN 1980. Based on the inter-action of the three partial systems "person", "vehicle" and "environment", the first step is the assessment of the situation by the persons involved in the accident. This is dependent on the personal attitudes and motives, on experiences and expectations concerning the progress of the situation. Subsequently, data concerning the manner of the coping with the ambiguous state as well as with the instable state (emergency reaction immediately before the accident occurs) are collected. The factors relating to the persons involved in the accident are gathered on several levels using corresponding questionnaires. The coding of the found and collected characteristics is conducted in a multidimensional evaluation relating to the technical results of the accident reconstruction and of the psychological classification, which are subsequently integrated in coded form into the data base of the accident research. The result of this analysis is a description of the development of the accident depicted on a chronological vector from a perception and decision theoretical perspective. This is explained in detail using exemplary cases.
An eCall device has been mounted on some vehicles in France since 2003. It is an integrated car radio/GSM/GPS system that can be used with a SIM card. When an accident occurs, a call can be sent manually or automatically made to a telephone call centre. Knowing the geographic location, the vehicle identity and the possibility of a direct communication with the people involved enables the nearest emergency services to be called out. In this context, the LAB / CEESAR have set up a study aimed at evaluating the effectiveness of this system. The purpose of this paper is to detail the E-call system evaluation method of effectiveness used and give a global synthesis of the results.