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In-depth road traffic accident research in Spain is a fairly recent activity. In the past, only accident data that had been retrospectively processed by the national and regional traffic police forces was available. In 1999 Applus+IDIADA set up a permanent accident research unit to carry out indepth analysis of road accidents in Spain. Since then accidents involving cars, motorcycles, coaches and vulnerable road users have been thoroughly studied. The Applus+IDIADA accident research team has carried out work for the various traffic polices in Spain and it is currently involved in several research projects in which accidentology is one of the main tasks. The working methodology of the team is presented in the first part of the paper. In the framework of the European research project "Rollover" (GRD2-2001-50086), Applus+IDIADA has collected data, inspected scenarios and performed virtual reconstructions of twenty-six of the total seventy-six rollover accidents studied. The second half of the paper describes how these accident investigations were used to develop a test procedure for identifying possible improvements to the vehicle structure which augment occupant protection in a rollover scenario. In particular, a proposal for a new drop test for rollover assessment is presented. The cases were analysed for severity, in terms of injury to the occupants and damage to the vehicle, and taking into account whether a seatbelt was worn or not. The worst possible cases were identified as those that had severe occupant injuries and sizable damage to the occupant compartment when seatbelts had been worn. The most severe cases were then analysed further for impact position (roll and pitch angles) and the impact velocity. With these parameters taken into account, the most representative combinations could be found. This resulted in a series of configurations for possible drop tests. The results of the tests indicate where passenger vehicle structures need to be improved in order to increase occupant safety in the event of a rollover crash.
Because of actual developments and the continuous increase in the field of drive assistant systems, representative and detailed investigations of accident databases are necessary. This lecture describes the possibility to estimate the potential of primary and secondary safety measures by means of a computerized case by case analysis. Single primary or secondary safety measures as well as a combination of both are presented. The method is exemplarily shown for the primary safety measure "Brake Assist" in pedestrian accidents. Regarding accident prevention only the primary safety measure is determined.
This report gives an overview of pedestrian accidents on Japanese roads. Database used for the analysis is national traffic accident data based on police reports. Relevant measures and background information ranging from vehicle safety, engineering and education are briefly reviewed, and area for further improvement is discussed.rn
Rollover scenarios in Europe
(2005)
Rollover accidents seem to be a rising problem in Europe and therefore the systematic of this accident scenario should be investigated. Based on statistical investigations on major European accident databases for different countries a series of 73 real world rollover accidents was analysed. These cases were reconstructed using PC-Crash and preliminary categorised using a modified USbased rollover classification. In a first step, the rollover events were reconstructed from the point of conflict to the vehicle- rest position. The vehicles kinematics as well as its linear and rotational velocities were derived. In a second step typical velocity characteristics as well as kinematics were identified and the events categorised according to these criteria. Based on these results four main categories were defined, covering all reconstructed accidents. This categorisation was based on mechanical parameters (rotatory and translator kinematical data of the vehicle). Significant differences can be seen for different scenarios for the "first phase of rollover".
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.
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.
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.
This paper reviews briefly the evolution of the investigation of transport accidents from the early beginnings when individual events were studied but systematic data was not collected. In the transport modes other than on the roads, accident investigation early on, even of single events, was important in introducing safety improvements. Road accidents, however, evolved enormously with the growth of car ownership without any comparable political response to the consequent deaths and injuries, equivalent to what happened with the other modes. From the 1950s data bases started to contribute to our knowledge of the epidemiology of road traffic injuries, and in-depth sample studies have contributed much to the body of knowledge in the last 30 years. However, even the basic input and output variables of a crash, its severity and the seriousness of the outcomes in terms of injuries and their consequences are not complete or agreed upon. Issues of experimental design and sampling are discussed. It is proposed that the most important area for current research to address is the effect of population variations on injury outcomes. The need for the establishment of good data bases for active safety issues is emphasised with the consequent need for better links between the research community and the police.
Empirical vehicle crashworthiness studies are usually based on national or in-depth traffic accident surveys: Data on accident-involved cars/drivers are analysed in order to quantify the chance of driver injury and to assess certain risk factors like car make and model. As the cars/drivers involved in the same accident form a "cluster", where the size of the cluster equals the number of accident-involved parties, traffic accident survey data are typical multi-level data with accidents as first-level or primary and cars/drivers as secondlevel or secondary units (car occupants in general are to be considered as third level units). Consequently, appropriate statistical multi-level models are to be used for driver injury risk estimation purposes as these models properly account for the cluster structure of traffic accident survey data. In recent years various types of regression models for clustered data have been developed in the statistical sciences. This paper presents multi-level statistical models, which are generally applicable for vehicle crashworthiness assessment in the sense that data on single and multiple car crashes can be analysed simultaneously. As a special case of multi-level modelling driver injury risk estimation based on paired-by-collision car/driver data is considered. It is demonstrated that assessment results may be seriously biased, if the cluster structure inherent in traffic accident survey data is erroneously ignored in the data analysis stage.
Mit dem Forschungs- und Entwicklungsvorhaben sollten bestehende Wissenslücken zum Verkehrssicherheitspotenzial an innerörtlichen Haltestellen des straßen- und schienengebundenen öffentlichen Personennahverkehrs geschlossen werden. Untersuchungsgegenstand waren Haltestellen im Linienbus- und Straßenbahnverkehr mit Lage im Straßenraum. Neben einer Auswertung der Straßenverkehrsunfallstatistik des Statistischen Bundesamtes erfolgten vertiefende Unfallanalysen in vier Fallbeispielen (Städte Düsseldorf, Leipzig und Zwickau sowie Landkreis Mayen-Koblenz) als Grundlage für ein Sicherheitsranking relevanter Haltestellentypen, ergänzt um Einzelfallanalysen für ausgewählte Haltestellenbereiche unterschiedlichen Typs. Die Untersuchungen erfolgten jeweils auf der Basis von Unfalldaten aus drei Kalenderjahren. Insgesamt wurden in den vier Fallbeispielen rund 2.550 Teilhaltestellen unterschiedlichen Typs untersucht, davon 1.750 Bushaltestellen, 690 Straßenbahnhaltestellen und 110 kombiniert genutzte Haltestellen. In den Haltestellenbereichen waren in 3 Kalenderjahren rund 770 Unfälle mit Personenschaden zu verzeichnen. Rund 85 Prozent (im Landkreis Mayen-Koblenz 91 Prozent) der Bushaltestellen und 30 Prozent der Straßenbahnhaltestellen wiesen in den untersuchten drei Kalenderjahren keinen Unfall mit Personenschaden auf. Als spezifische Kenngröße für die vergleichende Beurteilung der unterschiedlichen Haltestellenformen wurden haltestellenbezogene Unfallkosten UK zugrunde gelegt, um über die Unfallanzahl hinaus auch die Unfallschwere in die Betrachtungen einzubeziehen. Im vorliegenden Falle wurde diese Kenngröße als UK(P) ermittelt, da nur Unfälle mit Personenschäden in die Untersuchungen einbezogen wurden. Verwendet wurden an die Verunglücktenstruktur angepasste Unfallkostensätze. Quantifizierte Ergebnisse konnten für die Bushaltestellentypen "Bucht" und "Fahrbahnrand/Kap" sowie die Straßenbahnhaltestellentypen "Fahrbahnrand/Kap", "Fahrbahn" (mit den Varianten "StVO" und "Zeitinsel") sowie "Seitenbahnsteig" ermittelt werden. Zusammenfassend konnte festgestellt werden: - Im Vergleich der ÖPNV-Teilsysteme sind Bushaltestellen sicherer als Straßenbahnhaltestellen und kombinierte Haltestellen. - Im Vergleich der Haltestellentypen sind Haltestellen am Fahrbahnrand (einschließlich Kaplösungen) am sichersten, gefolgt vom Typ "Bucht" und den beiden auf das ÖPNV-Teilsystem Straßenbahn bezogenen Haltestellentypen "Fahrbahn" und "Seitenbahnsteig". - Bezogen auf das ÖPNV-Teilsystem Bus schneidet der Haltestellentyp "Bucht" deutlich ungünstiger ab als der Typ "Fahrbahnrand/ Kap". - Bezogen auf das ÖPNV-Teilsystem Straßenbahn schneidet der Haltestellentyp "Fahrbahnrand/Kap" am günstigsten ab, gefolgt vom Typ "Fahrbahn". Am ungünstigsten sind die Werte für den Typ "Seitenbahnsteig". - In Bezug auf den Straßenbahnhaltestellentyp "Fahrbahn" ergaben die Ergebnisse zu den beiden Varianten "Fahrbahn, StVO" und "Fahrbahn, Zeitinsel" deutliche Unterschiede. Sowohl bei den spezifischen Unfallkosten als auch in Bezug auf die mittlere jährliche Unfallanzahl pro Teilhaltestelle und die mittleren Unfallkosten von Unfällen mit Personenschaden im Haltestellenbereich ergab die Variante "Zeitinsel" ungünstigere Werte als die Variante "StVO". Empfohlen wird insbesondere: - die Priorisierung des Typs "Fahrbahnrand/Kap" als Standardlösung für Bushaltestellen (VwV-StVO), - eine Neubewertung des Typs "Fahrbahn" und hier wiederum der Variante "StVO" in VwV-StVO und Regelwerken mit dem Ziel einer Priorisierung dieses Typs gegenüber dem Typ "Seitenbahnsteig" (bei vergleichbaren Rahmenbedingungen) sowie der Variante "StVO" gegenüber der Variante "Zeitinsel", die Konkretisierung und Weiterentwicklung der Einsatzkriterien für Zeitinseln sowie - eine verstärkte Berücksichtigung der Verkehrssicherheit von im Haltestellenbereich die Fahrbahn querenden Fußgängern.
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.
Annually within the European Union, there are over 50,000 road accident fatalities and 2 million other casualties, of which the majority are either the occupants of cars or other road users in collision with a car. The European Commission now has competency for vehicle-based injury countermeasures through the Whole Vehicle Type Approval system. As a result, the Commission has recognised that casualty reduction strategies must be based on a full understanding of the real-world need under European conditions and that the effectiveness of vehicle countermeasures must be properly evaluated. The PENDANT study commenced in January 2003 in order to explore the possibility of developing a co-ordinated set of targeted, in-depth crash data resources to support European Union vehicle and road safety policy. Three main work activity areas (Work Packages) commenced to provide these resources. This paper describes some of the outcomes of Work Package 2 (WP2, In-depth Crash Investigations and Data Analysis). In WP2, some 1,100 investigations of crashes involving injured car occupants were conducted in eight EU countries to a common protocol based on that developed in the STAIRS programme. This paper describes the purposes, methodology and results of WP2. It is expected that the results will be used as a co-ordinated system to inform European vehicle safety policy in a systematic, integrated manner. Furthermore, the results of the data analyses will be exploited further to provide new directions to develop injury countermeasures and regulations.
Ziel des vorliegenden Forschungsprojekts war die Quantifizierung von staubedingten Reisezeitverlusten im Jahr 2000, die auf infrastrukturbedingte Kapazitätsengpässe einschließlich Verkehrsunfällen und Pannen zurückzuführen sind. Zusammen mit den Ergebnissen der "Quantifizierung staubedingter Reisezeitverluste auf Autobahnen - Störungsursache: Arbeitsstellen" konnte Aufschluss darüber gegeben werden, wie sich die Reisezeitverluste auf Bundesautobahnen anteilsmäßig und in ihrer Größenordnung auf die genannten Störungsursachen aufteilen. Hierzu wurden im ersten Teil der Arbeit methodisch folgende Aspekte behandelt: - Aufbau eines Autobahnnetzmodells; - Modellierung der Verkehrsnachfrage; - Modellierung der Kapazität; - Staumodellierung und Ermittlung der Reisezeitverluste. Im zweiten Teil der Arbeit wurden die Ergebnisse der Verlustzeitberechnung für das Bezugsjahr 2000 ausführlich dokumentiert. In Sensitivitätsanalysen wurde die Stabilität der Berechnungsergebnisse hinsichtlich der Veränderung einzelner Eingangsdaten bestimmt. Dabei kommt der Modellierung der Verlagerung der Verkehrsnachfrage bei vorhandener Überlastung eine herausragende Bedeutung zu. Ohne Berücksichtigung dieser Verlagerung werden unplausible Werte berechnet, wobei die ermittelten Reisezeitverluste um ein Vielfaches höher als mit Berücksichtigung dieses Effekts liegen. Da zum Ausmaß der Verlagerung bislang keine Untersuchungen vorliegen, ist die Modellierung an dieser Stelle mit großen Unsicherheiten behaftet. In einer Gesamtbetrachtung wurden staubedingte Zeitverluste im Autobahnnetz für das Bezugsjahr 2000 zu insgesamt 234 Millionen Stunden und mit folgenden Anteilen abgeschätzt: Infrastrukturbedingte Engpässe 39%, Unfälle und Nothalte 26%, Arbeitsstellen 35%.
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.
76 severe traffic accidents had been investigated in depth in an ongoing Volkswagen-Tongji University joint accident research project in JiaDing district, Shanghai, PR China since June 2005. With a methodology similar to German accident research units in Dresden and Hannover, a research team proceeds to the scene immediately after the incident to investigate and collect various data on environment, accident occurrence, vehicle state and deformations as well as injuries. The data combined with the results of accident reconstruction will be stored in a database for further statistical and casuistic analysis. The first outcome of the project supports the hypothesis that a main causation for the large number of traffic accidents in China is the lacking of risk awareness in Chinese driver behaviour. Low seat-belt use and the high proportion of vulnerable and poorly protected two-wheelers in traffic are reasons for the high injury and fatality rate in China. The research work shows that accident research in China is feasible and able to give support to tackle one of the urging problems in Chinese development.
Im Rahmen des Projektes sollte ein Hilfsmittel für Planer entwickelt werden, mit dem zum einen schon in der Planungsphase potenziell kritische Streckenabschnitte für Motorradfahrer identifiziert werden und zum anderen passende Maßnahmen zum Schutz der Motorradfahrer ausgewählt werden können. Hierzu galt es Kriterien zu analysieren, die an Streckenabschnitten ein erhöhtes Unfallpotenzial für Motorradfahrer darstellen. Für diese Analyse konnte auf die Daten des digitalen Straßennetzes sowie der digitalen Unfalldatei des Landes Rheinland-Pfalz zurückgegriffen werden. Mit den Daten wurden drei verschiedenen Auswertungen durchgeführt: 1) Alle Unfälle mit Motorradbeteiligung sind einer allgemeinen Auswertung unterzogen worden. Dabei wurden nur die Kriterien analysiert, die bei der polizeilichen Unfallaufnahme erfasst werden. 2) Als nächstes wurden die fahrbahngeometrischen Gegebenheiten an der Unfallstelle und in definierten Bereichen davor untersucht. Dies mit dem Ziel, einen Zusammenhang zwischen dem Streckenverlauf vor der Unfallstelle und dem Ort des Unfallgeschehens herzuleiten. 3) Als letztes wurden die Daten für die Streckenabschnitte in denen sich die Unfälle ereignet haben analysiert und mit Vergleichsdaten von Strecken ohne Unfallauffälligkeiten verglichen. Diese Vergleichsuntersuchung lieferte die wesentlichen Ergebnisse des Projektes. Es konnte abgeleitet werden, dass Streckenabschnitte, welche: a) eine Kurvigkeit über den gesamten Abschnitt > 200 gon/km und b) maximal 15 Änderungen des Streckenverlaufs pro km und c) einen Geradenanteil von maximal 50% und d) eine Länge von über 2,0 km aufweisen, ein besonders erhöhtes Risikopotenzial für Motorradfahrer im Vergleich zum durchschnittlichen Gefährdungspotenzial der Vergleichsstrecken in sich bergen. Basierend auf den Ergebnissen wurde für Planer eine Vorgehensweise entwickelt, mit der das Unfallpotenzial eines Streckenabschnittes bewertet werden kann und darauf aufbauend anhand von verschiedenen Auswahlkriterien Maßnahmen zum Schutz der Motorradfahrer gewählt werden können.
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.
In recent years the boundaries between active and passive safety blurred more and more. Passive safety in the traditional term includes all safety aspects to prevent occupants to be injured or at least injury severity should be reduced. Passive Safety starts with the collision (first vehicle contact) and ends with rescue (open vehicle doors). Within this phase the occupant has to be protected by the passenger compartment whereby no intrusion should occur. Active safety on the other side was developed to interact prior to the collision whereby the goal is to prevent accidents. The extensive interaction between active and passive safety led to the terminologies "Primary" and "Secondary" safety whereas the expression Integrated Safety Concept was generated. Within this study the most well documented single vehicle accidents with cars not equipped with ESP were identified from the PENDANT database and reconstructed. Additional cases were found in the database ZEDATU of TU Graz. In comparison each case was simulated with the assumption that the cars were equipped with ESP. The differences regarding accident avoidance or crash severity as well as reduction of injury risk were analysed.
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.
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.