Sonstige
Causation of traffic accidents with children from the perspective of all involved participants
(2017)
In the year 2014 about 2,800 children between zero and 14 years got injured due to traffic accidents in Austria. More than 50% were taking part in traffic as active road users like cyclists or pedestrians. Within this study 46 real world traffic accidents between vehicles and children as pedestrians were analysed. In 39 cases, car drivers hit the crossing children. In the other cases, the collision opponents were busses, trucks or motorcycles. Most of the children got hit while crossing a road at urban sites. By analysing the traffic accidents from the perspectives of all involved participants, vehicle drivers and injured children, it is possible to identify factors for each participant, which led to the accident and factors that contributed the accident. The main task is to find patterns in the behaviour of crash victims (children and driver) before the collision. One important fact is that in more than 50% of the analysed cases sight obstructions were an important contributing factor for both, the driver and the child. From drivers view situations in which the child moved unexpected into the driven road lane were often found. For the injured child, factors like: no attention to the road traffic or no sufficient traffic observation were found to be relevant. Further it- possible to sensitise children and adults to possible source of critical traffic situations according to the findings of this study.
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.
For the avoidance of traffic accidents by means of advanced driver assistance systems the knowledge of failures and deficiencies a few seconds before the crash is of increasing importance. This information e.g. is collected in the German accident survey GIDAS by an interview derived from the ACAS methodology. However to display the whole range of accident causation factors additional information is needed on enduring factors of the system components "human", "infrastructure" and "machine". On the strategic level these accident moderating factors include long term influences such as medical preconditions or a general higher risk taking behavior as well as influences on the immediate conflict level such as an aggressive response to a perceived previous traffic conflict. This study was conducted to examine the feasibility of collecting such causation information in the scope of an in-depth accident investigation like GIDAS. Due to the comprehensive amount of information necessary to estimate the moderating factors the collection of the information is distributed to different methods. 5 cases of real world crashes have been investigated where information was collected on-scene and retrospective by interviews. The identified moderating factors of the accidents and the method for collecting the information are displayed.
Motorcycle crashes in Austria: Analysis of causes and contributing factors based on in-depth data
(2017)
From CEDATU, the in-depth accident database run by the Vehicle Safety Institute at Graz University of Technology, a representative sample of 101 crashes involving at least one motorcycle was selected. The analysis focused on causes for crashes as well as on contributing factors, but also included parameters of road, riders and vehicles. Own riding speed and "unexpectable action by another road user" were the most frequent causes for accidents. Inappropriate safety distance or delayed reaction were frequent, both as causation factors and as contributing factors. Infrastructure issues never cause an accident, but they are very frequent as contributing factors; road geometry and road guidance are by far most frequent among these. This paper also discusses accidents by type and other parameters (e.g. injury severity by body region, collision speed, age and others), and compares accident causes to previous studies as well as the police reported accident statistics.
Das Fahrverhalten ändert sich mit zunehmendem Alter. Damit ändern sich auch die Risiken. Neben den jungen Fahranfängern im Alter von 18 bis etwa 25 Jahren stellen Fahrer über 75 Jahre eine besondere Problemgruppe dar. Mit zunehmender Zahl alter Fahrer (demographische Entwicklung plus Zunahme der Fahrerlaubnisinhaber in dieser Altersgruppe) besteht hier in naher Zukunft akuter Handlungsbedarf. Ansatzpunkte gibt es im gesamten Mensch-Maschine-Umwelt-System. Fahrzeuge müssen vermehrt im Hinblick auf alte Fahrer konstruiert und optimiert werden. Die Infrastruktur muss den Bedürfnissen einer eindeutigen Verkehrsführung angepasst werden. Aber nur, wenn der Mensch selbst geeignet ist, als Fahrer am Straßenverkehr teilzunehmen, ist ein Gewinn bei der Verkehrssicherheit zu erwarten. Dies muss gewährleistet werden. Wichtig ist, dass die Problematik der alten Fahrer als solche erkannt wird und schnell eine tragfähige Lösung für die Zukunft gefunden wird.
Die Klinik für Frührehabilitation und Geriatrie, Westküstenklinikum Heide ist Bestandteil eines Kooperationsnetzwerks und wirkt am Erhalt der Mobilität und Autonomie älterer Verkehrsteilnehmer im Landkreis Dithmarschen mit. Die Zusammenarbeit mit Seniorenbeiräten, Landesverkehrswacht, Fachdiensten, Polizei-Dienststellen, Ärzten und Psychologen sowie Fahrlehrern ermöglicht eine breite Datenerfassung zum Thema ältere Kraftfahrer, insbesondere zu ihrem Unfallgeschehen.
Road accidents are typically analyzed to address influences of human, vehicle, and environmental (primarily infrastructure) factors. A new methodology, based on a "Venn diagram" analysis, gives a broader perspective on the probable factors, and combinations of factors, contributing both to the occurrence of a crash and to sustaining injuries in that crash. The methodology was applied to 214 accidents on the Mumbai-Pune expressway. Factors contributing to accidents and injuries were addressed. The major human factors influencing accidents on this roadway were speeding (30%) and falling asleep (29%), while injuries were primarily due to lack of seat belt use (46%). The leading infrastructure factor for injuries was impact with a roadside manmade structure (28%), and the main vehicle factor for injuries was passenger compartment intrusion (73%). This methodology can help identify effective vehicle and infrastructure-related solutions for preventing accidents and mitigating injuries in India.
Die Zielsetzung dieser Analyse bestand darin, Einblick in jene Faktoren zu gewinnen, die maßgeblich zur Entstehung und Folgenschwere von "Disco-Unfällen" beitragen, um Erkenntnisse für die Entwicklung von Maßnahmenkonzepten zur Reduktion dieser Unfälle zu gewinnen. Die Analysedaten basieren auf einer dreimonatigen bundesweiten Totalerhebung aller Unfälle mit Personenschaden, die sich auf Fahrten zu, auf Rückfahrten von oder auf Pendelfahrten zwischen Diskotheken ereignet haben. Innerhalb des dreimonatigen Erhebungszeitraumes waren 216 Disco-Unfälle zu verzeichnen, bei denen 64 junge Leute getötet und 484 schwerverletzt wurden. Unfallursachen: 61 Prozent der Unfallfahrer hatten eine zu hohe Blutalkoholkonzentration. Der Anteil alkoholisierter Fahrer war in städtischen Ballungsgebieten wesentlich höher als in ländlichen Regionen. Linkskurven mit einem großen Kurvenradius waren der häufigste Unfallort. Infolge von Überlastung in Verbindung mit mangelnden fahrphysikalischen Kenntnissen der jungen Fahrerereigneten sich mehr als ein Fünftel Unfälle in solchen Kurven. Die Folgenschwere von Disco-Unfällen resultiert unter anderem aus der hohen Nichtanlegequote von Sicherheitsgurten - insbesondere auf den Rücksitzen. Unter differentiellen Gesichtpunkten wurde eine überproportional häufige Unfallbeteiligung von Angehörigen der Berufsgruppen, Metall, Baugewerbe und Militär festgestellt. Die Risikobereitschaft der jungen männlichen Fahrer konnte durch den "Führerschein auf Probe" noch nicht angemessen reduziert werden. Als unfallreduzierende Maßnahmen wurden vorgeschlagen: - öffentliche Fahrtangebote während Abend- und Nachtstunden des Wochenendes (zum Beispiel Disco-Busse), - Aufklärungskampagnen und Verbesserung der Ausbildung und Nachschulung, - gezielte polizeiliche Überwachung zur Bekämpfung der Alkoholproblematik, - Übernahme der in Großbritannien erprobten Aktion des "Designated Driver".
Die Feststellung empirisch belegten Alkoholkonsums bei Kindern und Jugendlichen, aber nur rudimentärer Dokumentation entsprechender Verkehrsunfälle begründete die vorliegende Untersuchung. Qualitative mündliche Befragungen von Experten und Jugendlichen, Feldbeobachtungen und quantitative schriftliche Befragungen von Jugendlichen führten zu folgenden Ergebnissen: Etwa 65 % der schriftlich befragten 12- bis 22-Jährigen waren vor dem 18. Lebensjahr mindestens einmal im Monat übermäßig alkoholisiert mobil. Mit durchschnittlich 15 Jahren findet nicht nur der erste übermäßige Alkoholkonsum statt, sondern auch die ersten Situationen alkoholisierter Mobilität, vorrangig bei männlichen Jugendlichen. Wenngleich nur rd. 5 % der Befragten eine erlebte gefährliche Verkehrssituation als "echten" Verkehrsunfall bezeichneten, verwiesen immerhin etwa 27 % auf mindestens eine gefährliche Verkehrssituation unter Alkoholeinfluss vor dem 18. Lebensjahr. Von den insgesamt 349 berichteten gefährlichen Verkehrssituationen gingen 113 mit leichten und 24 mit schweren Verletzungen einher. Aber auch die Nichtverletzten verwiesen auf zahlreiche erlebte Gefahren bei ihrer Mobilität unter Alkoholeinfluss. Vorrangig männliche Jugendliche erleben solche Situationen mit durchschnittlich 15,7 Jahren. In mehr als der Hälfte der gefährlichen Verkehrssituationen unter Alkoholeinfluss waren die Akteure alleine unterwegs. Die alkoholisierten Kinder und Jugendlichen verunfallten zumeist als Fahrradfahrer und Fußgänger. In rd. 40 % der Fälle erfolgte eine medizinische Versorgung, von nur rd. 20% dieser Alkoholunfälle erlangt die Polizei Kenntnis. Unterstrichen wird die Notwendigkeit weiterer, differenzierender Untersuchungen, um die explorativ gewonnenen Erkenntnisse zu verifizieren und geeignete Präventionsmaßnahmen zu begründen. Inhaltlich und aufwandsökonomisch wird die ressortübergreifende Zusammenarbeit mit der Bundeszentrale für gesundheitliche Aufklärung empfohlen.
Introduction: The method of causation analysis applied under the German accident survey GIDAS, which is based on Accident Causation Analysis System (ACAS) focuses on an on-scene data collection of predominantly directly event-related causation factors which were crucial in the accident emergence as situational resulting events and influences. The paradigm underlying this method refers to the findings of the psychological traffic accident research that most causally relevant features of the system components human, infrastructure and vehicle technology are found directly in the situation shortly before the accident. This justifies the survey method which is conducted directly at the accident (on-scene), shortly after the accident occurrence (in-time) with the detection of human-related causes (in-depth). Human aspects of the situation analysis that interact and influence the risk situations shortly before the collision are reported as errors, lapses, mistakes and failures in ACAS in specific categories and subcategories. Thus methodically ACAS is designed primarily for the collection of accident features on the level of operational action, which certainly leads to valid findings and behavioral causes of accidents. The enhancement by means of Moderating Conditions concerns the pre-crash phase in different levels: strategical, tactical and operational.
Der Bericht enthält die Beurteilung von schädigungsrelevanten Einwirkungen und Schädigungspotenzialen von Betonbrücken sowie deren Erfassung am Bauteil mithilfe aussagekräftiger Parameter und geeigneter Sensoren im Rahmen des Themenschwerpunkts "Intelligente Bauwerke" der BASt. Die Grundlage zur Beurteilung von Schädigungspotenzialen bildet die Auswertung tatsächlich aufgetretener Schäden an Stahlbeton- und Spannbetonbrücken (97.662 Schäden an 3.474 Brücken). Neben der Aufbereitung der chronologischen Entwicklung von Vorschriften und Normen für den Bau von Brücken wurden Schäden infolge von Planungs- und Entwurfsfehlern, sowie Ausführungsfehlern analysiert. Den Schwerpunkt des Berichts bilden die Darstellung und Bewertung von Schädigungspotenzialen getrennt für die Widerstandsseite(auffällige Bauteile/Konstruktionen) sowie für die Einwirkungsseite (relevante Einwirkungen). Bauteile und Konstruktionen werden dazu im Hinblick auf die Merkmale Standsicherheit, Dauerhaftigkeit und Verkehrssicherheit untersucht. Darüber hinaus werden maßgebende Einwirkungen aus den Umweltbedingungen und insbesondere die Einwirkungen infolge des (Schwer-)Verkehrs bewertet. In einem weiteren Arbeitsschritt werden geeignete Schädigungsmodelle zur Beschreibung bekannter Schädigungsprozesse bei Brücken aus Stahl- und Spannbeton dargestellt und die modellspezifischen Einflussgrößen detailliert aufbereitet. Die Darstellung relevanter Parameter zur Erfassung von Einwirkungen und Schäden an Brückenbauwerken, sowie die Erfassung dieser Parameter mit geeigneten Sensoren bilden einen weiteren Schwerpunkt des Projektes. Darüber hinaus werden die Grundlagen eines Datenerfassungssystems dargestellt und abschließend Genauigkeits- und Häufigkeitsbereiche für die Datenerfassung und die Möglichkeiten der Sensorplatzierung aufgezeigt. Die Zusammenstellung der Ergebnisse erfolgt in Form eines Handbuchs.
Unfälle im Straßenverkehr sind in aller Regel Konsequenzen normalen Fahrverhaltens, das an eine bestimmte Situation nicht angepasst war und daher zum Unfall beigetragen hat. Zur Klassifikation dieses mutmaßlich fehlerbehafteten Verhaltens wurde im hier berichteten Projekt eine Taxonomie entwickelt. Sie dient der Klassifizierung von Fahrerfehlverhalten und integriert Aspekte des menschlichen Informationsverarbeitungsprozesses sowie die drei Fehlertypen von RASMUSSEN (1983). Als Bestimmungsstücke beinhaltet die Taxonomie Fehlertypen (regel-/wissens-/fertigkeitsbasiert) und Entscheidungsknoten mit Fragen, deren Beantwortung den Analysten zum jeweiligen Fehler führt. Zusammengefasst bietet die erarbeitete Taxonomie eine breite Anwendbarkeit für die Klassifikation von Fahrfehlern und fehlerfreiem Verhalten bei Manövern, kritischen Situationen bis hin zu Beinaheunfällen oder Unfällen, z. B. zur Harmonisierung der (Video-)Auswertung von FOT- und NDS-Datensätzen oder für In-Depth-Unfallerhebungen. Die Taxonomie wird komplementiert durch eine Übersicht über Fehlervorläuferbedingungen, die im Sinne von Genotypen (HOLLNAGEL 1998) in ihrer jeweiligen Ausprägung auslösende und begünstigende Bedingungen für Fehler, Beinaheunfälle und Unfälle darstellen. Die Übersicht ist als erweiterbares strukturierendes Dokument zu sehen, welches je nach wissenschaftlichen Erkenntnissen verändert werden kann. Gemeinsam mit der Taxonomie bildet sie die Basis für die Ableitung von Fahrerassistenzbedarf und andere Maßnahmen, zur Generierung von Hypothesen und zur strukturierten Sammlung von Studienergebnissen. Der vorliegende Bericht adressiert die FOT- und NDS-Community sowie allgemein verkehrspsychologisch-wissenschaftlich Interessierte. In acht Kapiteln widmet er sich den Arbeitsschritten und Ergebnissen der Taxonomieentwicklung.
Safety of light goods vehicles - findings from the German joint project of BASt, DEKRA, UDV and VDA
(2011)
Light goods vehicles (LGVs) are an important part of the vehicle fleet, providing a vital component in the European transportation system. On the other hand, LGVs are in the focus of public discussion regarding road safety. In order to analyse the accident situation of LGVs in an objective manner, Federal Highway Research Institute (BASt), VDA, DEKRA and German Insurers Accident Research (UDV) launched a joint project. The aim of this project, which will be finished by mid of 2011, is to identify reasonable measures which will further improve the safety of LGVs. For the first time, these partners jointly together conducted a research project and put together their know-how in accident research. Analyses are based on real-life accident data from the GIDAS database, the Accident Database of UDV (UDB), the DEKRA database and national statistics. The findings deliver answers to questions within the arena of future legislative actions and consumer protection activities. The analyses of databases cover areas of primary and secondary safety of LGVs with a special focus on advanced driver assistance systems (ADAS), driver behaviour as well as partner and occupant protection. Key figures from national statistics are used to highlight hotspots of accidents of LGVs in Germany. Finally, the proposed countermeasures are assessed regarding their potential effectiveness. Amongst others, the results show that the accident situation of LGVs is very similar to that of passenger cars. Noteworthy variations could be found in collisions with pedestrians, at reversing and regarding accident causes. Occupant safety of LGVs is on a higher level compared to cars. Results indicate that seatbelt use is on a significantly lower level compared to cars. This leads to higher-than-average injury risk for unbelted LGV occupants. When it comes to partner protection, there are problems with compatibility at LGVs. For car occupants there is a very high injury risk when colliding with a LGV. It indicates that higher passive safety test standards for LGVs would be counterproductive if they further increase stiffness of LGVs. The analysis of LGV-pedestrian accidents shows that pedestrian kinematic differs significantly from car-pedestrian accidents. At this point, existing pedestrian related test standards developed for cars cannot be adopted to LGVs. When it comes to active safety, ESC proved its effectiveness once again. Beyond that, rear view cameras, advanced emergency braking systems and lane departure warning systems show a safety potential, too. In addition to any technical countermeasures previously discussed, the importance of the driver behavior and attitude regarding the accident risk was investigated. In order to develop successful actions it is important to understand the main target population. In the case of LGV especially the crafts business and smaller companies are the major contributors the safety issue.
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.
With an ever rising human life expectancy the share of elderly people in society is constantly rising. This leads to the fact that at the same rate the share of people with age related diseases such as dementia and poor eyesight taking part in traffic will rise and therefore traffic accidents caused by this group of people due to the disease will play an ever greater role. This Situation will be among the future challenges of road safety work. At present this study displays specific characteristics of accidents caused by elderly car drivers (aged 65 or higher) based on the analysis of the German In-Depth Accident Study GIDAS. Herein almost 1000 elderly car drivers were identified as accident participants in the years 2008 to 2011. The focus of this study lies on identifying special types of accidents which are caused by elderly drivers and on characterizing these types with the information gathered on scene and by interviewing the participants. The main evidence analyzed is the knowledge about the accident locality, the trajectories of the participants as well as the reasons for the occurrence of the accidents. Furthermore personal information such as the personal condition before the accident and driving purposes is used to identify patterns of contributing circumstances for accidents caused by elderly traffic participants.
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.
Im Jahr 2004 fand an der Medizinischen Hochschule Hannover die erste ESAR-Konferenz (Expert Symposium on Accident Research) statt. Die Idee einer internationalen Konferenz war aus der Notwendigkeit entstanden, diejenigen Experten zusammen zu bringen, die weltweit tätig sind und Verkehrsunfälle wissenschaftlich analysieren, um ihre Ergebnisse gemeinsam zu diskutieren und einem Zielpublikum von Behördenvertretern, Entwicklungsingenieuren der Automobilindustrie und anderen Wissenschaftlern darzubringen. Die durch Professor Otte initiierte und nun zum vierten Male organisierte Konferenz fand eine breite Akzeptanz und ist mittlerweile Bestandteil einer Konferenzlandschaft mit Zielvorträgen von der Fahrzeugsicherheit bis hin zur Verletzungsanalyse und den Unfallursachen. ESAR kann als wissenschaftliches Kolloquium und Plattform für einen Informationsaustausch der Unfallforscher angesehen werden, die sich speziell mit Methoden der Unfalluntersuchung, mit Verletzungsmechanismen und der Bewertung von Verletzungen, Unfallursachen und anderen Bereichen der statistischen Unfalldatenanalyse befassen. Experten aus den Bereichen der Medizin, der Verkehrspsychologie und der Technik sowie Vertreter zuständiger Behörden kommen hier zusammen, um die Erfahrungen in der Unfallprävention und der Unfallrekonstruktion zu diskutieren und um der Forschung neue Felder zu eröffnen. Neben den Belangen der Europäischen Gemeinschaft werden auch die weltweit zu registrierenden hohen Verletztenzahlen berücksichtigt. Wissenschaftliche Vorträge aus aller Welt tragen dazu bei, geeignete Maßnahmen und Methoden zur Analyse und drastischen Verringerung der Zahl der bei Verkehrsunfällen Getöteten zu entwickeln. Die Zusammensetzung des Teilnehmerkreises dieser wie früherer ESAR-Konferenzen hat längst eine über Europa hinausgreifende Internationalitaet erreicht und bietet daher einen aufschlussreichen Überblick über die verschiedenen Standards bestehender Verkehrssicherheit und unterschiedlichen Unfallszenarien und über die Anforderungen an die Unfallanalysen. Die Ergebnisse langjähriger Forschungsarbeiten in Europa, USA, Australien und asiatischen Ländern beinhalten unterschiedliche infrastrukturelle Zusammenhänge und geben Erkenntnisse über Population, Fahrzeugbestand und Fahrereigenschaften. Derartige Informationen bilden eine exzellente Basis für abzuleitende Empfehlungen und Maßnahmen für die Erhöhung der Verkehrssicherheit international.
An analysis of NASS and FARS was conducted to determine crash conditions that involved injuries that are not currently being directly addressed by vehicle safety standards or by consumer information test protocols. Analysis of both field data and US NCAP tests were conducted to determine the relative safety provided by seating position and by vehicle model year. Opportunities for improvements were determined by crash categories with large populations of injuries that were not addressed by safety tests or smaller numbers that were increasing in frequency. Areas of opportunities include improved occupant restrain in rollovers, improved frontal protection for rear seat occupants and improved fire prevention in frontal and rollover crashes.
Since 2005, the motorcycle crash fatalities in the US exceeded 10% of the overall annual traffic fatalities. Consequently, it has become critical to gain in-depth understanding of the factors and characteristics contributing to motorcycle crashes. Unfortunately, there currently exists no database gathering the necessary information for an in-depth analysis of the US motorcycle crashes. So this study utilizes the NASS/CDS database (National Automotive Sampling System, Crashworthiness Data System) in order to gain insights into the patterns and factors leading to a NASS/CDS motorcycle crash, from 1997 to 2007. NASS/CDS samples about 5,000 passenger car tow-away crashes per year. Each case includes photographs and detailed data on crash and pre-crash characteristics, vehicle types, trajectories, types of impact, and other pertinent roadway and crash scene information, allowing an in-depth investigation of the crash mechanisms. However, the NASS/CDS sampling process specifically focuses on passenger car crashes, so the cases extracted only correspond to crashes in which a passenger vehicle was towed, and a motorcycle was somehow involved. Thus, a by-hand in-depth review of about 200 cases allowed retrieving 106 relevant crashes for this study, tending to represent the severe passenger vehicle(s) versus motorcycle(s) crashes on US roads. The findings lead to the conclusion that these crashes mostly result from the low conspicuity of the motorcycle, and from the inability of the car drivers to fully appreciate and anticipate the behavior of a motorcycle. Indeed, it has been shown that, first, the car drivers involved in these cases did not attempt any avoidance maneuver, second, they were largely of ages under 25, and finally, the majority of the crashes were in an intersection scenario. In addition, the two major scenarios unveiled were the car attempting a left turn from the opposite direction and the car attempting a left turn from the right. The paper mentions several solutions to enhance the motorcycle- conspicuity and to allow the car drivers to better anticipate its behavior, which seem to be key factors in the intersection-related crashes (and more generally in the passenger vehicle(s) versus motorcycle(s) crashes).
The NHTSA-sponsored Crash Injury Research and Engineering Network (CIREN) has collected and analyzed crash, vehicle damage, and detailed injury data from over 4000 case occupants who were patients admitted to Level-I trauma centers following involvement in motor vehicle crashes. Since 2005, CIREN has used a methodology known as "BioTab" to analyze and document the causes of injuries resulting from passenger vehicle crashes. BioTab was developed to provide a complete evidenced-based method to describe and document injury causation from in-depth crash investigations with confidence levels assigned to the causes of injury based on the available evidence. This paper describes how the BioTab method is being used in CIREN to leverage the data collected from in-depth crash investigations, and particularly the detailed injury data available in CIREN, to develop evidence-based assessments of injury causation. CIREN case examples are provided to demonstrate the ability of the BioTab method to improve real-world crash/injury data assessment.
Unfortunately, there has been a high number of accident fatalities reported in the Czech Republic in recent years. There are many causes which have led to a growth in the number of road traffic accidents. Since 1990, traffic density has demonstrated an upward moving tendency, daily traffic-jams are on the increase in many cities and traffic capacity on roads and streets is not able to satisfy this increasing density. Moreover, many road users lack experience in terms of driving modern cars. The National Accident Study of the Czech Republic is based on the assumption that the year 2010 is considered as a pilot project with the testing operation of collecting and evaluating data from traffic accidents. From the beginning of 2011, a fully-functional structure of the Traffic Accident Research will be created and solid data generated. Based on this assumption, we hope to begin meaningful cooperation with foreign countries.
In India, heavy truck crashes on national highways account for a number of fatalities. But due to lack of in-depth crash data, detailed analysis is not possible to determine injury mechanisms, and to identify infrastructure, vehicle and human factors affecting these crashes. Over the past two years, researchers in India have established a crash investigation network, with the co-operation of the police and hospitals, to conduct crash investigations and in-depth crash data collection on national highways in the state of Tamil Nadu. This pioneering effort has resulted in the development of a heavy truck crash investigation methodology, the outcome of which is scientific and reliable crash data that has been able to provide good insight into truck crashes and their causes. This paper explains the need for truck crash investigations, the methodology, conclusions of the data analyzed up to date, and the need to focus on truck driver working conditions.
Causation patterns and data collection blind spots for fatal intersection accidents in Norway
(2010)
Norwegian fatal intersection accidents from the years 2005-2007 were analysed to identify any causation patterns among their underlying contributing factors, and also to evaluate whether the data collection and documentation procedures used by the Norwegian in-depth investigation teams produces the information necessary to perform causation pattern analysis. A total of 28 fatal accidents were analysed. Details on crash contributing factors for each driver in each crash were first coded using the Driving Reliability and Error Analysis Method (DREAM), and then aggregated based on whether the driver was going straight or turning. Analysis results indicate that turning drivers to a large extent are faced with perception difficulties and unexpected behaviour from the primary conflict vehicle, while at the same time trying to negotiate a demanding traffic situation. Drivers going straight on the other hand have less perception difficulties. Instead, their main problem is that they largely expect turning drivers to yield. When this assumption is violated, they are either slow to react or do not react at all. Contributing factors often pointed to in literature, e.g. high speed, drugs and/or alcohol and inadequate driver training, played a role in 12 of 28 accidents. While this confirms their prevalence, it also indicates that most drivers end up in these situations due to combinations of less auspicious contributing factors. In terms of data collection and documentation, information on blunt end factors (those more distant in time/space, yet important for the development of events) was more limited than information on sharp end factors (those close in time/space to the crash). A possible explanation is that analysts may view some blunt end factors as event circumstances rather than contributing factors in themselves, and therefore do not report them. There was also an asymmetry in terms of reported obstructions to view due to signposts and vegetation. While frequently reported as contributing for turning drivers, they were rarely reported as contributing for their counterparts in the same accidents. This probably reflects an involuntary focus of the analyst on identifying contributing factors for the driver legally held liable, while less attention is paid to the driver judged not at fault. Since who to blame often is irrelevant from a countermeasure development point of view, this underlying investigator mindset needs addressing to avoid future bias in crash investigation reports.
Relevant accident related factors : risk and frequencies of contributing to road traffic accidents
(2009)
In the course of the European Project TRACE (Traffic Accident Causation in Europe) an attempt was made to analyse the cause of road traffic accidents from a factors' point of view. By literature review the most important independent risk factors for traffic accidents were identified to be speed, alcohol intake, male gender, young age, cell phone use, and fatigue. However, the impact of an accident related factor also depends on its prevalence in traffic and accidents, respectively. Available to the Partners in the TRACE Project were different accident databases. Causally contributing factors found by accident investigations that are most often coded in accident databases are connected to unadapted speed and inattention. Taking into account the risk increase and the frequency of contribution to accidents the conclusion can be drawn that the most relevant factors for accident causation are: "alcohol", "speed", and "inattention and distraction".
The SafetyNet project was formulated in part to address the need for safety oriented European road accident data. One of the main tasks included within the project was the development of a methodology for better understanding of accident causation together with the development of an associated database involving data obtained from on-scene or "nearly onscene" accident investigations. Information from these investigations was complemented by data from follow-up interviews with crash participants to determine critical events and contributory factors to the accident occurrence. A method for classification of accident contributing factors, known as DREAM 3.0, was developed and tested in conjunction with the SafetyNet activities. Collection of data and case analysis for some 1 000 individual crashes have recently been completed and inserted into the database and therefore aggregation analyses of the data are now being undertaken. This paper describes the methodology development, an overview of the database and the initial aggregation analyses.
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.
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").
While many medical studies have dealt with the incidence, nature and treatment of polytrauma the injury-causing accident mechanisms are rarely discussed in detail, mostly due to the lack of documentation of the technical aspects. The present prospective study was started in late 2007 and collects data from traffic accidents with most severely injured in six south- German counties and two larger cities for the duration of one year. It is aimed at identifying and documenting all polytrauma cases (ISS ≥ 16) caused by traffic accidents and their crash circumstances. The data collection is based on an interdisciplinary concept to include both the police, emergency dispatch centers, hospitals and fire departments in the region and is completely anonymous. Potentially relevant cases where an emergency physician was called to the scene of a traffic accident are provided by the dispatch center. All three hospitals in the region suited for the treatment of polytraumatised patients record injuries, major diagnostic and surgery data. Data and images from the accident scene are provided by the police and by fire departments. The latter provide information which is usually not available from the police, like deployed airbags, vehicle extrication measures and detailed views of car interiors. The main objective of the study is to determine the structure of road users who sustain a polytrauma, their crash opponents and the injury patterns found in relation to the collision configuration and the protection by seat belts, air bags and other devices. With detailed documentation of vehicle damage and extrication measures the study is also intended to support the development of injury predictors for pre-hospital treatment and provide field data regarding further improvement of technical rescue.
The fact that ADAC Air Rescue handles approximately 4,000 road accident missions every year gave rise to set up an accident research programme for which ADAC Air Rescue provides its data. This data is of initial informational quality and will be supplemented by data from the police, experts, fire brigades as well as hospitals and forensic institutes. Although the number of cases is still rather low, certain tendencies can be identified. The causes for most accidents occur when joining or intersecting traffic, followed by speeding in road bends and tailgating. Many accidents involve HGV rear end collisions, often causing serious injuries, considerable damage and technical problems for the rescue operations. With regard to the various impact types, it has become obvious that most of the extremely serious injuries are inflicted during a passenger car side impact. In addition, access to and removal of trapped passengers is becoming more and more complicated, partly due to the increasing use of high-strength materials, and rescue operations tend to be more time consuming.
In recent years special attention has been paid to reducing the number of fatalities resulting from road traffic accidents. The ambitious target to cut in half the number of road users who are killed each year by 2010 compared with the 2001 figures, as set out in the European White Paper "European Transport Policy for 2010: Time to Decide" implies a general approach covering all kinds of road users. Much has been achieved, e.g. in relation to the safety of car passengers and pedestrians but PTW accidents still represent a significant proportion of fatal road accidents. More than 6,000 motorcyclists die annually on European roads which amounts to 16% of the EU-15 road fatalities. The European Commission therefore launched in 2004 a Sub- Project dealing with motorcycle accidents within an Integrated Project called APROSYS (Advanced PROtection SYStems) forming part of the 6th Framework Programme. In a first step, the combined national statistical data collections of Germany, Italy, the Netherlands and Spain were analysed. Amongst other things parameters like accident location, road conditions, road alignment and injury severity have been explored. The main focus of the analysis was on serious and fatal motorcycle accidents and the results showed similar trends in all four countries. From these results 7 accident scenarios were selected for further investigation via such in-depth databases as the DEKRA database, the GIDAS 2002 database, the COST 327 database and the Dutch element of the MAIDS database. Three tasks, namely the study of PTW collisions with passenger cars, PTW accidents involving road infrastructure features, and motorcyclist protective devices have been assessed and these will concentrate inter alia on accident causes, rider kinematics and injury patterns. A detailed literature review together with the findings of the in-depths database analysis is presented in the paper. Conclusions are drawn and the further stages of the project are highlighted.
Internationally, the need is expressed for harmonized traffic accident data collection (PSN, PENDANT, etc.). Together with this effort of harmonization, traffic accident investigation moves more and more in the direction of accident causation. As current methods only partly address these needs, a new method was set up. The main characteristics of this method are: • Accident/injury causation (associated) factors can objectively be identified and quantified, by comparison with exposure information from a normal population. • All relevant accident and exposure data can be included: human-, vehicle-, and environmental related data for the pre-crash, crash and postcrash situation (the so-called Haddon matrix). The level of detail can be chosen depending on interest and/or budget, which makes the method very flexible. In this paper the accident collection and control group method are presented, including some of the achieved results from a pilot study on 30 truck accidents and 30 control locations. The data were analyzed by using cross-tabulations and classification-tree analysis. The method proved useful for the identification of statistically significant causational aspects.
Active safety systems are aimed at accident prevention, hence the knowledge required for their development is different from that required for passive safety systems aimed at injury prevention. Particularly, knowledge about accident causation is required. When looking at existing accident causation data, it is argued it fails to explain in sufficient detail how and why the accidents occur. Therefore, there is a need for detailed micro-level descriptions of accident causation mechanisms, and also of methodologies suitable for creating such descriptions. One study addressing these needs is the Swedish project FICA (Factors Influencing the Causation of Accidents and Incidents), where an accident investigation methodology suitable for active safety is developed, and in-depth accident investigations following this methodology are carried out on-scene in the area of Gothenburg by a multidisciplinary team. A preliminary aggregated analysis of different cases shows that the methodology developed is adequate for pointing out common contributing factors and devising principal countermeasures.
Traffic accidents were ranked the third among the major causes of death in Thailand. About 13,438 deaths and the death rate from traffic accident was 21.5 per 100,000 of population in 2002. The deaths and death rate varied upon the economic situation. After the economic crisis, traffic accidents were increased as well as the period of the bubble economy. In the Central region of Thailand numbers of road traffic crashes were lower than Bangkok Metropolis, but the highest in the number of deaths, death rate and serious injuries in 2002. Men aged 15"29 years old had higher numbers of deaths than men in other age groups and higher than women. Deaths and injuries from road traffic crashes were the highest in April and January, because there was a long weekend in those months. About 80 percent of road traffic crashes were caused by private car and motorcycle. In 2000 about 51 percent of traffic accidents took place on the straight way, followed by the junction and curves. In 2002, about 97 percent of road traffic crashes were caused by human factors including improper passing, speeding and disregarding to traffic signal, however, the identification of causes of traffic accident needed to improve. Drunk driving, disregarding on safety equipment usage, inefficiency of law enforcement and discontinuing of road safety programs were the deepest causes of traffic accidents. Research based information, a broad coalition of stakeholder and urban planning policy were needed to incorporate for a comprehensive road safety policy formulation and actions.
Road safety is a major preoccupation of the European Commission and the road transport industry and depends on numerous significant factors. In order to improve road safety and to plan effective safety improvement actions for truck transport, we must first identify the problems to be addressed, i.e. what are the main causes of truck accidents. The ETAC project, initiated by the European Commission and the IRU, was launched in order to set up a heavy goods vehicle accident causation study across European countries to identify future actions which could contribute to the improvement of road safety. The results will be based on a detailed analysis of truck accident data collected in seven European countries according to a common methodology which has been elaborated through numerous national and European projects. This paper describes the common methodology used to collect the information on the scene of the accident and to analyse the data so that the reconstruction of the crash events may be carried out. CEESAR proposes a methodology using its experience gained from over 10 years of accident data collection. This methodology is based on an in-depth investigation of the parameters involved in-an accident and linked to the driver, the vehicle, the road and their environment. In-depth investigation requires accident investigator presence on the scene of the accident in order to collect volatile information such as marks on the road, weather conditions, visibility, state and equipment of the vehicle, driver interview. Later, passive and active information is gathered, either at the hospital for the driver, at the garage for the vehicle or on the spot for the road geometry. A reconstruction carried out with the help of specific software and the analysis of the data collected and calculated enables the identification of the main causes of the accident and the future actions to plan in order to improve road safety as regards truck traffic.
Motorcycle riders are one of the most vulnerable road users. Annually, on estimate 6000 people are killed in motorcycle accidents in the former 15 EU countries. The objective of this research was to investigate and analyze the main aspects and causes of this vulnerability and the accidents in general. For this aim around 70 accidents in The Netherlands were investigated in the framework of an international research program (MAIDS). Also a control group of motorcycles with riders was investigated so that exposure could be taken into account. An important result is that human failure is in 82% of the cases the main cause of the accident, in 52% this is due the other vehicle driver. Perception and decision failures are the most common failures. The most injuries are caused by the environment but they are typically only less severe (AIS1). Injuries caused by the car (front and side) are typically severe injuries (AIS4+). Previous convictions of the MC rider seem to be related to the chance to get involved in an accident. It was shown that the Dutch and the total MAIDS accident sample are comparable.
Nigeria ranks one of the highest countries in the world with the largest accident, especially when measured by whiplash associated disorders, whereas, traffic safety education rate, data and information been widely known as preventive indicators have been grossly neglected. In Nigeria, traffic safety enlightenment, awareness, political understanding and appreciation of the problem's magnitude are lacking. This study, therefore, seeks to understand and document the fact that accident causation factors in Nigeria relate more to the problem of development, poverty, knowledge and education as evidenced in most other developing countries. Among the primary accident causation factors on Nigerian roads are: - lack of a transportation system or multi-model integration - sub-standard and obsolete vehicles and road furniture - poor road maintenance, investment and engineering management - paucity of road users' and drivers' knowledge, skill, enlightenment and education of the road Use This paper submits that Nigeria being a developing nation requires purely primitive strategies being cost effective (health wise) than curative measures. It is in this light that an enduring, comprehensive and sustainable traffic safety educational programmes information base and data inventory, analysis and implementations form the focus of this study. This effort will provide basic guidelines framework and implementation procedure for a successful prevention of whiplash associated disorder resulting from road traffic crashes in Nigeria and other parts of the world.
Portugal has the highest rate of road fatalities in Europe (2002 and for Eur-15 - CARE database). For this highest rate, the accidents involving pedestrians and motorcycle occupants have a higher contribution than the European average. In the last years, especially accidents involving motorcycles have been investigated and currently two different projects are being carried out, one related with motorcycles accidents and the other with pedestrian accidents. In these projects, countermeasures among others to reduce the fatalities between these two types of road users are being studied. These accidents are investigated with the commercial accident reconstruction software PCCRASH but also new methodologies based on multibody dynamics are in development in order to more accurately study these two types of accidents. In this paper, the methodologies in use for accident reconstruction and new methodologies in development are presented. Speeding his found to be one of the major causes of road fatalities for pedestrians and motorcycle occupants. In the case of motorcycle accidents, these involve mainly young drivers. Aspects as social behavior are also important to understand the causes of some of these accidents. Some examples of accidents occurring in Portugal, involving especially motorcycles and pedestrians are presented and discussed.
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.
The improvement of passive car security devices led to a reduction of injuries, especially of the head, the neck and the torso mainly due to the airbag function. The passenger's foot and ankle could not profit from this development. Some investigators even reported a progression of leg injuries (1). In this study, we investigated a current collective of patients with foot and ankle fractures or severe soft tissue injuries in relation with defined crash parameters. Special interest was paid to the car's footwell.
Interaction of road environment, vehicle and human factors in the causation of pedestrian accidents
(2005)
The UK On-the-Spot project (OTS) completed over 1500 in-depth investigations of road accidents during 2000-2003 and is continuing for a further 3 years. Cases were sampled from two regions of England using rotating shifts to cover all days of the week and all hours of the day and night. Research teams were dispatched to accidents notified to police during the shifts; arrival time to the scene of the accident was generally less than 20 minutes. The methodology of OTS includes sophisticated systems for describing accident causation and the interaction of road, vehicle and human factors. The purpose of this paper is to describe and illustrate these systems by reference to pedestrian accidents. This type of analysis is intended to provide an insight into how and why pedestrian accidents occur in order to assist the development of effective road, vehicle and behavioural countermeasures.
The "Seven Steps Method" is an analysis and classification system, which describes the human participation factors and their causes in the temporal sequence (from the perceptibility to concrete action errors) taking into consideration the logical sequence of individual basic functions. By means of the "seven steps" it is possible to describe the relevant human causes of accidents from persons involved in the accident in an economic way with a sufficient degree of exactitude, because the causes can be further differentiated in their value (e.g. diversion as external diversion with regard to impact due to surroundings) and their sub values (e.g. external diversion with regard to impact due to surroundings in the shape of a "capture" of the perception by a prominent object of the traffic environment). Theoretically it is possible that one or more causing moments can be assigned to a person involved in an accident in each of the "seven steps"; however it is also possible to sufficiently clarify the cause in only one level (examples for this are described). In the practice of accident investigation at the site of the accident, the sequence chart is also relevant. With its assistance the questioning of the people involved in an accident can be accomplished in a structured way by assigning a set of questions to each step.
The increase in light duty trucks (LDT) on the road in the US is a safety concern because of their aggressivity, or risk they present to occupants of cars, especially in side impacts. We use FARS data to look at fatality trends in frontal and side impacts between cars and LDT. FARS data is also used to determine risk, or fatalities per registered vehicle, imposed on car drivers from other vehicle types. We use NASS CDS data to investigate sources of serious injuries in vehicles with side impact. These sources of injury are categorized into three major groups: 1) contact without intrusion, 2) contact with intrusion, and 3) restraints. We find a greater fraction of intrusion related injuries in cars struck on their side by SUV or pick-up trucks than when they are struck by other cars.
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).
Die steigende Lebenserwartung sowie die geringe Geburtenrate führen zu einer Alterung der Gesellschaft, die sich schon heute bemerkbar macht und sich in den nächsten Jahrzehnten noch verstärkt auswirken wird. Damit verbunden ist eine relative Zunahme von Auto fahrenden Senioren. Immer mehr ältere Menschen orientieren sich an einem aktiven Lebens- und Freizeitstil. Dabei spielt der Pkw eine herausragende Rolle - ermöglicht er doch oft erst die Aufrechterhaltung von Mobilität und Unabhängigkeit. Gleichzeitig kann es jedoch mit fortschreitendem Alter zu verschiedenen körperlichen oder geistigen Leistungseinbußen kommen, die möglicherweise die Fahrleistung beeinflussen. Vor diesem Hintergrund rückt die Frage nach den Unfallrisiken älterer Kraftfahrer weiter in den Mittelpunkt des Interesses. Das von der Bundesanstalt für Straßenwesen geförderte Projekt PROSA (Profile von Senioren mit Autounfällen) setzte sich zum Ziel, den Einfluss altersbedingter Leistungseinbußen auf das Unfallrisiko differenzierter zu betrachten. Am Zentrum für Alternskulturen der Universität Bonn wurden Profile von Senioren untersucht, die in einen Autounfall verwickelt waren, und es wurde der Frage nachgegangen, welche Bedeutung diese für die Ableitung von Interventionsmaßnahmen haben. Im Großraum Bonn wurden dazu 180 Senioren mit einem Mindestalter von 65 Jahren interviewt, die in den letzten fünf Jahren als Fahrer eines Pkws in einen Unfall verwickelt waren. Die Teilnehmer wurden zu individuellen Leistungsbeeinträchtigungen und Persönlichkeitsmerkmalen sowie zu ihrer Fahrbiographie und Unfallgeschichte befragt. Darüber hinaus wurde eine Teilstichprobe von 50 Teilnehmern einer internistisch-verkehrspsychologischen Untersuchung sowie einer Fahrverhaltensprobe unterzogen. Die Ergebnisse verdeutlichen, dass das Alter allein kein Prädiktor für individuelle Leistungsfähigkeit und Unfallrisiko darstellt. Vielmehr scheinen spezifische Kombinationen aus alterskorrelierten Einbußen und Krankheit zu einem erhöhten Risiko zu führen. Diese Heterogenität sollte vor allem bei interventiven Maßnahmen und bei künftigen Forschungen berücksichtigt werden.
Durch die Einführung des Airbags als zusätzliches Rückhaltesystem zum Sicherheitsgurt hat sich die Sicherheit für die Fahrzeuginsassen weiter erhöht. Die Airbagtechnologie wird nunmehr seit mehr als zehn Jahren serienmäßig verbaut. Nach wie vor berichten die Autofahrer aber immer wieder auch über Probleme mit dieser Technologie. Ziel dieser Arbeit ist es, geeignetes Datenmaterial aus dem realen Unfallgeschehen zu sammeln und daraus aktuelle Aussagen zur Schutzwirkung der Airbag-Technologie zu gewinnen. Darüber hinaus sollen aus dem Material auch Erkenntnisse über die Art, Häufigkeit und Ursachen der Probleme abgeleitet und damit Vorschläge für weitere Verbesserungen entwickelt werden. Die Datenbeschaffung erfolgt über eine Umfrage in den Zeitschriften der europäischen Automobilclubs. Zusammen mit dem Airbagmaterial der Versicherer stehen insgesamt 692 Fälle für die Auswertung zur Verfügung. Es ergibt sich, dass bei schweren Frontalkollisionen der Anteil an schweren bis tödlichen Verletzungen sowohl für den Fahrer als auch für den Beifahrer um gut 20 % niedriger ist als bei vergleichbaren Unfällen ohne Airbag. Auch die Seiten- und Kopfseiten-Airbags zeigen in Einzelfällen eine gute Schutzwirkung. Wegen der geringen Fallzahlen ist aber noch keine allgemeingültige Aussage möglich. Das Datenmaterial beinhaltet 78 Problemfälle im Zusammenhang mit der Airbag-Auslösung. Es handelt sich zum einen um ungerechtfertigte Auslösungen ohne Unfall oder bei geringer Unfallschwere, und zum anderen um Nichtauslösungen bei hoher Unfallschwere. Besonders auffällig sind hier die Nichtauslösungen beim Unterfahrunfall. Im Rahmen dieser Arbeit wurde auch ein Unterfahr-Test entwickelt, der in Zukunft im Rahmen der Airbag-Optimierung mit eingesetzt werden sollte. Im Datenmaterial befinden sich auch 92 Problemfälle mit Airbag-Aggressivität. Der häufigste Fall ist hier der Gehörschaden und zwar durch die Auslösung der Front-Airbags. Über gezielte Maßnahmen zur Schallpegelreduzierung bei der Airbag-Entfaltung, durch mehrstufige Airbagauslössung in Abhängigkeit von der Unfallschwere sowie durch Sitzbelegungserkennung könnten hier Verbesserungen erreicht werden. Zur Minimierung des Out-of-Position-Risikos sollte der FMVSS 208-Test mit 5 % Dummy in der vordersten Sitzposition bei die Airbag-Abstimmung eingesetzt werden. Die Airbag-Technologie hat die Insassensicherheit nachhaltig erhöht. Es ist aber noch ein großes Entwicklungspotential für weitere Verbesserungen vorhanden.
Im Hinblick auf die prozessbezogenen Beiträge nicht-motorischer Partikelemissionen durch Abriebs- und Aufwirbelung existieren derzeit lediglich Studien, die an stark belasteten Innerortsstraßen oder in Tunneln durchgeführt wurden. Für die Emissionen von Autobahnen konnten die so gewonnenen Ergebnisse daher nicht ohne Weiteres als repräsentativ für die wesentlich häufiger anzutreffende Situation frei angeströmter Autobahnabschnitte betrachtet werden. Um diese Wissenslücke zu schließen, wurden im vorliegenden Projekt an der Autobahn A61 für mehr als 1 Jahr Luv-Lee Messungen durchgeführt. Mittels der NOx-Tracer-Methode wurden die in Tabelle 16 des Berichtes wiedergegebenen partikelmassen-bezogenen Emissionsfaktoren (EFs) ermittelt. Die EFs für PM10 sind mit Ergebnissen anderer Studien aus Deutschland beziehungsweise der Schweiz gut vergleichbar, während sich für die PM1-10-Fraktion geringere EFs ergaben, als aktuell angenommen. Mittels der Positiv-Matrix-Faktorisierung konnten neben den motorischen Emissionen vier nicht-motorische Quellfaktoren identifiziert und quantifiziert werden. Dabei zeigte sich neben einem deutlichen Einfluss durch Tausalzausbringung insbesondere die Relevanz von Bremsabrieb Diese Ergebnisse bestätigen somit auch für freiliegende Autobahnabschnitte die Signifikanz der nicht-motorischen Partikelemissionen für die PM10-Emissionen.
Gefragt ist nach alterstypischen Verkehrsverstößen, die bei Senioren auf eine zunehmende Verkehrsunsicherheit hinweisen. Die Studie basiert auf Stichprobendaten des Verkehrszentralregisters (VZR) von 350.000 Personen zwischen 35 und 84 Jahren, deren Verkehrsauffälligkeit im Anschluss an eine VZR-Eintragung über zwei Jahre beobachtet wurde. Tatsächlich lässt sich ein alterstypisches Fehlverhalten identifizieren: überwiegend Vorfahrtfehler sowie Fahrmanöver mit hohem Unfallanteil. Zwei gegenläufige Effekte halten sich etwa die Waage: Zum einen weisen Personen mit einem alterstypischen Fehlverhalten in den nachfolgenden Jahren im Vergleich zu Personen mit anderen Delikten erheblich weniger Verkehrsverstöße auf, zum anderen zeigen sie einen bedeutend höheren Unfallanteil an den (reduzierten) VZR-Eintragungen. Beide Effekte werden mit dem Alter prägnanter. Entsprechend dem "Risiko-Homöostase-Modell" versuchen Verkehrsteilnehmer, beide Komponenten im Gleichgewicht zu halten, was mit zunehmendem Alter aber nicht mehr allen gelingt. Diese Ergebnisse wie auch Zahlen der amtlichen Statistik zeigen gegenwärtig aber (noch) kein mit dem Alter bedrohlich steigendes Verkehrsrisiko an. Die vorhandenen Mechanismen " neben der Selbstbeschränkung der Fahrleistung auch die Entziehung der Fahrerlaubnis sowie der Verzicht " scheinen für die weitaus meisten Kraftfahrer auszureichen, ihr steigendes Risiko wegen höherer Fahrunsicherheit im Alter auszugleichen. Auf die Übrigen könnte aufgrund einer VZR-Eintragung mit einem alterstypischen Fehlverhalten durch Verwarnung und Aufklärung, und wenn dies nachweislich einer erneuten Verkehrsauffälligkeit nicht ausreicht, durch weitere Maßnahmen gezielt Einfluss genommen werden. Dies wäre ab einem Alter von 75 Jahren zu erwägen, doch schon ab 70 Jahren zu rechtfertigen. Eine Verwarnung würde ab 70 Jahren gegenwärtig maximal 30.000 Personen pro Jahr betreffen. Mit einer Wiederauffälligkeit innerhalb von zwei Jahren wäre im heutigen System " also ohne Verwarnung " in maximal 2.800 Fällen zu rechnen.
Innerörtliche Knotenpunkte zählen zu den Hauptgefahrenstellen für den Radverkehr. Insbesondere größere lichtsignalgesteuerte Knotenpunkte weisen oft Sicherheitsdefizite auf. Planungsstandard ist seit langem die Anlage von Radfahrstreifen zum Beispiel zur Führung direkt links abbiegender Radfahrer oder die Markierung von Furten und Aufstellbereichen zur Führung der indirekt abbiegenden Radfahrer. Zunehmend kommen aber auch andere markierungstechnische Maß-nahmen zur Anwendung. Es zählen hierzu die Anlage von Schutzstreifen für den Radverkehr sowie die Markierung von aufgeweiteten Radaufstellstreifen (ARAS). Die Untersuchung widmet sich vor allem diesen neueren markierungstechnischen Lösungen. Den Ausgangspunkt der Untersuchung bilden eine Erläuterung der Gesamtsystematik der Radverkehrsführung an innerörtlichen Knotenpunkten sowie der wesentlichen in den Regelwerken verankerten Planungsprinzipien. Es folgt eine Zusammenstellung der in der Literatur verzeichneten markierungstechnischen Radverkehrsführungen unter Einbeziehung ausländischer Literatur. Eine breit angelegte Dokumentation verdeutlicht das derzeit realisierte Maßnahmenspektrum Aus diesem Kollektiv werden 50 Knotenpunkte für radverkehrsbezogene Unfallanalysen ausgewählt. In vertiefende Untersuchungen des Verkehrsverhaltens und des Verkehrsablaufs wurden 34 Fallbeispiele aus 14 Städten einbezogen. Hauptuntersuchungspunkte sind das Annäherungsverhalten von Radfahrern an den Knotenpunkt sowie das Aufstell- und das Anfahrverhalten, dies jeweils in Verknüpfung mit den Bewegungsvorgängen des Kraftfahrzeugverkehrs. Insgesamt wurden über 6.000 Radfahrer in die Verkehrsverhaltensbeobachtungen einbezogen. Die Untersuchung macht deutlich, dass es mit den untersuchten markierungstechnischen Maßnahmen bei entsprechender Ausgestaltung möglich ist, den Radfahrern in Knotenpunkten eine akzeptable Führung anzubieten. Die Arbeit benennt die Einsatzbedingungen und gibt Hinweise zur Ausgestaltung der Markierungslösungen. Der Originalbericht enthält als Anhang insgesamt 34 Untersuchungsfallbeispiele aus 14 deutschen Städten. Sie enthalten neben Fotos und grafischen Darstellungen der Knotenzufahrten, der Radverkehrsführung, der LSA - Regelung, des Straßentyps und des Umfeldes sowie die durchgeführten Beobachtungen und Beobachtungsschwerpunkte und eine Erfassung der Verkehrsbelastungen. Auf die Wiedergabe dieses Anhanges wurde in der vorliegenden Veröffentlichung verzichtet. Er liegt bei der Bundesanstalt für Straßenwesen vor und ist dort einsehbar. Verweise auf diesen Anhang wurden zur Information des Lesers im Berichtstext beibehalten.