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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.
The Powered Two Wheelers (PTWs) accidents constitute one of the road safety targets in Europe. PTWs users' fatalities represent 15% of EU road fatalities, having increased the last few years, which is quite opposite than other road users casualties. To reduce PTW accidents is necessary to know which the accident causations are from different points of view (human factor, vehicle characteristics, environment, type of accident, situation, etc.). In TRACE project ("Traffic Accident Causation in Europe", under the European Commission 6th Framework Program, 2006-2008,) a specific task was focused on PTW users point of view, analyzing extensive databases to locate the main accident configurations (type of accident, severity, frequency), and an in-depth database to obtain the causation factors, the risk factors for each configuration founded in the extensive databases analysis and the variables associated to each causation factor in the PTW configurations.
In Germany averagely two million traffic accidents happen each year and emergency medical services are called to more than 400 000 patients. Even though this number is decreasing continuously (due to improvements in the fields of vehicle safety, road construction, and accident prevention) every case is yet a challenge for the rescuers and requires improvements in emergency medicine as well. Especially during diagnostics right at the accident scene, there are only limited instruments available to gain the necessary knowledge of the injuries suffered, to come to essential decisions about treatment or transport. To provide an additional diagnostic aid by scouting and estimating the situation, a software-tool calculating the likeliness of the most frequent severe injuries (AIS 3-6) of front occupants in passenger cars has been developed to deliver this necessary information about particular accident scenarios. To achieve this, logistic likelihood functions have been calculated in a multivariate regression analysis analysing all AIS 3+ injuries in the GIDAS database of the years 1999-2006 that happened more than four times
A lot of factors are related to a road traffic accident; particularly human factors such as road use characteristic, driving maneuver characteristic and safety attitude are the major ones. As a random factor is also included, so it is necessary to minimize the contribution of a random factor to identify human factors related to a road traffic accident. There are several standpoints for traffic accident analysis, such as vehicle-based, location-based and driver-based. And it is effective to analyze driver-based traffic accident data for discussion on the relation between human factors and accidents. An integrated traffic accident database system was developed for analysis considering driver- accident and violation records by ITARD, and several studies were carried out for the evaluation. Useful data for discussion on the relation between types of collision and traffic violations, and the effect of accident experience to the following accident were obtained.
The focus of the technical innovation in the automobile industry is currently changing to sensor based safety systems, which are operating in the pre-crash phase of an accident. To get more information about this pre-crash phase for real accidents a simulation of this phase using the GIDAS database is done. The basics for this simulation are geometrical information about the accident location and the exact accident data out of the GIDAS database. This aggregated information gives the possibility to simulate an exact motion for every accident participant, using MATLAB / SIMULINK, in the pre-crash phase. After the simulation the information about the geometrical positions, the velocities and maneuvers of the drivers to an individual TTC (time to collision) are available. With those results it is possible to develop new useful sensor geometries using pre-crash scatter plots or estimate the efficiency of implemented active safety systems in combination with sensor characteristics. This simulation can be done for every reconstructed accident included in the GIDAS database, so these results can represent a wide spread basis for the further development of active safety systems and sensor geometries and characteristics
In an on-going project since 2005, ADAC has been analyzing accidents documented by the ADAC air rescue service. The knowledge derived from real-life accidents serves as a basis for new test configurations and assessment criteria. In 2007, ADAC began looking into the feasibility of international data collection. The idea of Global Accident Prevention was born. Three European partner clubs have begun pioneering the project (ÖAMTC, ANWB, and RACC). The aim is to set up an international accident research network to provide a steady stream of information on road accidents. The FIA Foundation supports ADAC in developing and coordinating this initiative.
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).
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.
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.
In Germany, in-depth accident investigations are carried out in the Hannover area since 1973. In 1999 a second region was added with surveys in Dresden and the surrounding area. Internationally, the acronym GIDAS (German In-Depth Accident Study) is commonly used for these surveys. Compared to many other countries, the sample sizes of the GIDAS surveys are much larger. The goal is to collect 1.000 accidents involving personal injuries per year and region. Data collection takes place by using a sampling procedure, which can be interpreted as a two-stage process with time intervals as primary units and accidents as secondary units. An important question is, to what extend these samples are representative for the target population from which they are drawn. Analyses show, for example, that accidents with persons killed or seriously injured are overrepresented in the samples compared to accidents with slightly injured persons. This means, that these data are subject to biases due to uncontrolled variation of sample inclusion probability. Therefore, appropriate weighting and expansion methods have to be applied in order to adjust or correct for these biases. The contribution describes the statistical and methodological principles underlying the GIDAS surveys with respect to sampling procedure, data collection and expansion. In addition, some suggestions regarding potential improvements of study design are made from a methodological point of view.
NASS: the glass is half full
(2007)
The National Accident Sampling System (NASS) was born in the late 1970s. It was based on a substantial amount of experience and analysis of what was needed in the United States to understand the safety challenges of our highways. This work also showed how to collect high quality and useful crash data efficiently. Unfortunately, when Ronald Reagan - a President who believed in limited government - was elected, any hope of full funding for NASS was lost. The concept of 75 teams investigating about 18,000 serious crashes in detail annually was never realized. The system got up to 50 teams, then was cut to 36, and finally to 24 teams investigating fewer than a quarter of the originally anticipated number of crashes per year. Despite this, the NASS investigations provide a rich source of data, collected according to a sophisticated statistical sampling system to facilitate detailed national estimates of road casualties on our nation- highways and their causes. In addition, changes have been made in recent years to increase the number of more serious crashes of recent model vehicles to make the results more relevant to improving vehicle safety. A recent, detailed examination of hundreds of rollovers has provided considerable insight into rollover casualties and into what can be done to reduce them. Some of these results will be presented that show the value of the NASS system. Our experience with NASS and the Fatal Accident Reporting System (FARS) suggests a number of improvements that could be made in the United States" crash data systems. It also provides justification for a doubling or tripling of our national expenditures on crash data collection.
Due to recent years accident avoidance and crashworthiness on Austrian roads were mostly developed on national statistics and on-scene investigation respectively. Identification and elimination of black spots were main targets. In fact many fatal accidents do not occur on such black spots and black-spot investigation has reached a limit. New methods are required and therefore the Austrian Road Safety Programme was introduced by the Austrian Ministry of Transport, Innovation and Technology. The primary objective is the reduction of fatalities and severe injuries. Graz University of Technology initiated the project ZEDATU (Zentrale Datenbank tödlicher Unfälle) with the goal to identify similarities in different accident configurations. A matrix was established which categorizes risk and key factors of participating parties. Based on this information countermeasures were worked out.
Data concerning accidents involving personal injury which have been collected in the context of in-depth investigations on scene in the Hannover area since 1973 and in the Dresden area since 1999 represent an important basis for empirical traffic safety research. At national and international level various analyses and comparisons are carried out on the basis of "in-depth data" from the above mentioned investigations. In-depth data play a decisive role e.g. within the validation of EuroNCAP results on secondary safety (crashworthiness) of individual passenger car models. Thus, statistically sound methods of data analysis and population parameter estimation are of high importance. Since the 1st of August 1984 the "in-depth investigations on scene" in the Hannover area have been carried out according to a sampling plan developed by HAUTZINGER in the context of a research project on behalf of BASt. In the meantime a second region of in-depth investigation on scene was added with surveys in Dresden and the surrounding area. Internationally, the acronym GIDAS (German In-Depth Accident Study) is commonly used for the two above mentioned surveys. The objective of a current research project (topic of this contribution) is, among other things, to examine and adjust the previous weighting and expansion method for the two regional accident investigations to the current general conditions.
The data situation for quantifying the proportion of accidents avoided by the introduction of active safety systems is incomplete, since there is generally no data available on the accidents avoided by the technology in question. In this paper, a split-register approach is suggested and compared with the classical case-control approach known from epidemiologic applications. Provided a set of assumptions hold, which can reasonably be made in such data situations, the split register approach allows inferences on the population accident risk. For both approaches the benefits of basing the analysis on the results of a logistic regression to adjust for confounding factors are outlined. The biasing effects of violating key assumptions are discussed and the split-register approach is demonstrated using the example of the active safety system ESP with data from the German in-depth accident study GIDAS.
Das Emissionsmodul des PC-Berechnungsverfahrens zur Abschätzung von verkehrsbedingten Schadstoffimmissionen (MLuS 02) basiert auf dem Handbuch für Emissionsfaktoren des Umweltbundesamtes. Aufgabe war die Berechnungen mit dem neuen Handbuch kompatibel zu machen. Die Aufgabenstellung gliederte sich in 3 Teile: i) Implementierung der neuen Version des Handbuchs in das Emissionsmodul , ii) Umwandlung des Emissionsmodul von ACCESS in Delphi, gleichzeitige Beseitigung von Inkonsistenzen in der Berechnung , iii) Implementierung des neuen Emissionsmoduls, Durchführung von Systemtests und Modifikationen, Aktualisierung des Merkblatts MLuS 02. Bei der Aktualisierung des Handbuches wurden folgende redaktionelle Änderungen vorgenommen: Herausnahme der 98-Perzentile - außer für das NO2 - im tabellarischen Ausdruck, Erstellung eines Installationsprogramms, Aktualisierung des Merkblatts MLuS 02 gemäß der vorgenommenen Fortschreibung. Im Vergleich zur vorherigen Version ergeben sich folgende Änderungen: Eingangsdaten und ihre Klassifizierung: Dem Emissionsmodul wurden bisher per ASCII-Schnittstelle die folgenden Eingangsdaten übergeben: Bezugsjahr, Gebiets-ID, Straßenkategorie-ID, Fahrbahnlängsneigungs-ID, Anzahl der Fahrspuren, DTV, DTV-ID, Lkw-Anteil, Lkw-Anteil-ID, Kraftstoffszenario-ID, Stop+Go-ID, Das Bezugsjahr wurde rückwirkend auf das Jahr 2000 begrenzt, so dass die Gebietsunterscheidung Ost/West entfallen kann. Längsneigungsklassen: Hinsichtlich der Längsneigungsklassen enthält das Modell die in Tabelle2 (siehe Längsneigungsklassen im Abschlussbericht) dargestellte Klassifizierung. Fahrzeugkategorien: Das Emissionsmodul unterscheidet intern folgende Fahrzeugkategorien: Pkw, Leichte Nutzfahrzeuge (Gesamtmasse bis 3,5 t), LNfz genannt, Schwere Nutzfahrzeuge (Gesamtmasse über 3,5 t), im folgenden SNfz genannt. Umwandlung des Emissionsmodul von ACCESS in Delphi: Nachdem die Änderungen im Emissionsmodul durchgeführt worden waren, wurden alle Visual Basic Codes von ACCESS nach Delphi verlagert. Implementierung des neuen Emissionsmoduls in das MLuS 02: Das Emissionsmodul wurde in das MLuS 02 Programm implementiert. Ruß wird aus dem MLuS entfernt (Außerkraftsetzung der 23. BImSchV).
The need for improved EU level accident information and data was identified in the EU White Paper on Transport Policy (2001)1 and detailed in the Road Safety Action Plan (2003)2. The plan specifies that the EC will develop a road safety observatory to coordinate data collection within an integrated framework.
In order to improve the protection of children transported in cars, within the CHILD programme (GR3D-CT2002-00791) real world road accidents are thoroughly analysed and then reconstructed in laboratory. Prior to comparing injury severities of real victims to physical parameter values measured on the dummies, the quality of the reconstructions is evaluated by experts who use their experience based on the investigation of numerous and various accidents. This paper presents a new tool aiming at better evaluating and validating accident reconstructions. It is based on statistical evaluation of vehicle deformations which gives weighing factors for every part of the car body structure finally leading to a specific Reconstruction Quality Score (RQS indicator). Furthermore, the reliability of this score, depending on the number of measured points, can be established. This tool includes a function aiming at adjusting the speed for a further reconstruction and at defining the launching speed and the pulse shape for complementary sled tests. Finally, the functions of the RQS software and database are presented.
This study is aimed to investigate the correlations of impact conditions and dynamic responses with the injuries and injury severity of child pedestrians by accident reconstruction. For this purpose, the pedestrian accident cases were selected from Sweden and Germany with detailed information about injuries, accident cars, and accident environment. The selected accident cases were reconstructed using mathematical models of pedestrian and passenger car. The pedestrian models were generated based on the height, weight, and age of the pedestrian involved in accidents. The car models were built up based on the corresponding accident car. The impact speeds in simulations were defined based on the reported data. The calculated physical quantities were analyzed to find the correlation with injury outcomes registered in the accident database. The reconstruction approaches are discussed in terms of data collection, estimating vehicle impact speeds, pedestrian moving speeds and initial posture, secondary ground impact, validity of the mathematical models, as well as impact biomechanics.
This paper describes the methodology of In-Depth Investigation in Germany on the example of GIDAS (German In-Depth Accident Study). Since 1999 in Germany a joint project between FAT (Forschungsvereinigung Automobiltechnik or Automotive Industry Research Association) and BASt (Bundesanstalt für Straßenwesen or the Federal Road Research Institute) is being carried out in Hannover and Dresden. The methodology of this project is based on a statistically orientated procedure of data sampling (sampling plan, weighting factors). The paper describes the possibilities of such in-depth investigation on the results of the offered title. The accident cases were collected randomly within GIDAS at Hannover. There are more cases existing from previous investigation started in 1985 under the same methodology. The portion of rollovers can be established at 3.7% of all accidents with casualties in the year 2000. For the study 434 cases of car accidents with rollovers are used for a detail comprehensive analysis. The accidents happened in the years 1994 to 2000 in the Hannover area. The injury distribution will report about 741 occupants with rollover accident event. The presented paper will give an overview of the accident situations following in rollover movements of cars. The distributions of injury frequencies, injury severity AIS for the whole body and for the body regions of occupants will be presented and compared to technical details like the impact speed and the deformation pattern. The speed of the car was determined at the point of rollover and on the point of accident initiency. The characteristics of the kinematics followed in a rollover movement are analyzed and the major defined types of rollover will be shown in the paper. The paper will describe the possibilities of In-Depth Investigation methods for the approach of finding countermeasures on the example of car accidents with rollover and explaining the biomechanics of injuries in rollover movements.
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.
Das Projekt Deutsche Datenbank Rettungsdienst beinhaltet die Entwicklung und Erprobung eines bundeseinheitlichen Referenzdatensatzes für den Rettungsdienst, dessen Basis die medizinisch logistische Verlaufsdokumentation rettungsdienstlicher Einsätze mittels DIVI-Protokollen bzw. alternativer Dokumentationsprotokolle darstellt. Im Anschluss an die Entwicklung eines Referenzdatensatzes für den Rettungsdienst wurden insgesamt 9.689 Einsatzprotokolle im Rahmen einer repräsentativen bundesweiten Stichprobe erfasst. Diese wurden hinsichtlich logistischer wie auch medizinischer Parameter ausgewertet. Führende Diagnosen im Einsatzspektrum waren akute Erkrankungen, insbesondere des Herzkreislaufsystems, des Zentralnervensystems und der Atmungsorgane. Unter den dokumentierten Verletzungen hatten Schädel-Traumata (ohne Berücksichtigung des Schweregrads) und Extremitätenverletzungen den größten Anteil. Analysen der Versorgungsqualität gemäß nationaler Leitlinien zeigten bei der notärztlichen Versorgung von Patienten mit akutem Koronarsyndrom überwiegend gute, bei der Versorgung vom schwer Schädel-Hirn-Verletzten unzureichende Befolgung der Therapie-Empfehlungen. Bei nicht-notärztlich versorgten Patienten werden in nennenswertem Umfang die Gabe von Infusionen und Medikamenten ohne Beteiligung eines Notarztes dokumentiert. Im Rahmen der Datenauswertung traten verschiedene Defizite hinsichtlich der Dokumentation rettungsdienstlicher Einsätze in Deutschland zu Tage, die sich überwiegend durch das Problem fehlender Angaben kennzeichnen ließen. Die Dokumentation von Rettungseinsätzen stellt demnach keineswegs eine Idealsituation dar, wie es die aktuelle Datenlage zeigt. Die Ergebnisse untermauern die Notwendigkeit eines bundeseinheitlichen Einsatzprotokolls zur Erfassung von Notfalleinsätzen mit und ohne Notarztbeteiligung, bei dem die Erkenntnisse aus diesem Forschungsprojekt eingebunden werden.
Untersucht werden die Möglichkeiten, die Wirkungen geplanter Verkehrssicherheitsmaßnahmen, die am "Faktor Mensch" ansetzen, anhand von Daten über Verkehrsverstöße aus dem VZR zu prognostizieren. Die Regel-, Sicherheits- und Partner-Orientierung des Verkehrsteilnehmers wird über sein Rechtsbewusstsein, über seine Fahrpraxis, über Bewährungsproben sowie abschreckende, verkehrserzieherische und verkehrseinschränkende Maßnahmen beeinflusst. Dies wirkt sich aus auf seine Vorbildfunktion sowie auf die Belastung, Behinderung, Belästigung, Gefährdung und Schädigung Anderer. Ein "Wirkungsmodell" stellt diese Zusammenhänge qualitativ dar. Für ein numerisches Modell fehlen heute noch weithin die empirischen Grundlagen zu den mathematischen Funktionsbeziehungen. Die prinzipielle Eignung der entwickelten Methode der computergestützten Simulation auf Basis von VZR-Daten kann in Tests belegt werden. Allerdings sind die Ergebnisse erst bei großen VZR-Stichproben hinreichend stabil. Zur Demonstration werden in zwei fiktiven Beispielen die Auswirkungen rechtlicher Änderungen auf die Verkehrssicherheit im Wirkungsmodell detailliert durchgespielt. Die Studie zeigt, dass bei heutigem Kenntnisstand über die zugrunde liegenden Zusammenhänge nur spezielle, eng umrissene Prognosefragestellungen aussagekräftige Resultate erwarten lassen. Jedoch in Verbindung mit punktuell eingesetzten Expertenurteilen kann das Wirkungsmodell die Verlässlichkeit einer Prognose gegenüber herkömmlicher Praxis wesentlich steigern oder aber, wenn dabei eindeutige Resultate ausbleiben " auch dies ist ein wertvolles Ergebnis " die Unsicherheit der Prognose und folglich die Fragwürdigkeit der geplanten Rechtsänderung offenbaren. Der Originalbericht enthält als Anhänge die Datengrundlage für die Segmentierung (1), die Bestimmung der Modellparameter "absolute und relative Häufigkeiten in der Stichprobe Referenzzugang 1995" (2 und 3), das Gesamtwirkungsmodell (4) sowie die Darstellung der Instanzen, Institutionen und behördlichen Maßnahmen (5). Auf die Wiedergabe dieser Anhänge wurde in der vorliegenden Veröffentlichung verzichtet. Sie liegen bei der Bundesanstalt für Straßenwesen vor und sind dort einsehbar. Verweise auf die Anhänge im Berichtstext wurden beibehalten.
An approach to the standardization of accident and injury registration systems (STAIRS) in Europe
(1998)
STAIRS is a European Commission funded study whose aim is to produce a set of guidelines for a harmonised, crash injury database. The need to evaluate the effectiveness of the forthcoming European Union front and side impact directives has emphasised the need for real world crash injury data-sets that can be representative of the crash population throughout Europe. STAIRS will provide a methodology to achieve this. The ultimate aim of STAIRS is to produce a set of data collection tools which will aid decision making on vehicle crashworthiness as well as providing a means to evaluate the effectiveness of safety regulations. This paper will disseminate the up-to-date findings of the group as they try to harmonise their methods. The stage has been reached where studies into the diverse methods of the UK, French and German systems of crash injury investigation have been undertaken. An assessment has already been made of the relationships between the three current systems in order to define the areas of agreement and divergence. The conclusions reached stated that there were many areas that are already closely related and that the differences were only at the detailed level. With the emphasis on secondary safety and injury causation, core data sets were decided upon, taking into account: vehicle description, collision configuration, structural response of vehicles, restraint and airbag performance, child restraint performance, Euro NCAP, pedestrian and vehicle occupant kinematics, injury description and causation. Each variable was studied objectively, the important elements isolated and developed into a form that all partners were agreeable on. A glossary of terms is being developed as the project progresses which includes ISO standards and other definitions from the associated CAREPLUS project, which addresses the comparability of national data sets. A major consideration of the group was the data collection method to be employed. The strengths and weaknesses of each study were investigated to obtain a clear idea of which aspects offered the best way forward. The quality of this information and transference into a common format, as well as the necessary error checking systems to be employed have just been completed and are described. In tandem with this area of study the problem of the statistical relationship of each sample to the national population is also being investigated. The study proposes a mechanism to use a sample of crash injury data to represent the national and international crash injury problem
OKSTRA, so heißt der Objektkatalog für das Straßen- und Verkehrswesen. Im Rahmen des Forschungsprojektes "Standardisierung graphischer Daten im Straßen- und Verkehrswesen" werden die Objekte des Straßen- und Verkehrswesens in ihrer Bedeutung, ihrer Struktur und ihren Beziehungen untereinander definiert. Ziel dieses Objektkatalogs ist die Gewährleistung eines standardisierten Datenaustausches sowohl innerhalb von Arbeitsprozessen einer Verwaltung als auch mit externen Institutionen. Die Definitionen der Objekte sind inhaltlich nicht grundlegend neu, vielmehr werden im OKSTRA im wesentlichen die Objekte der vorhandenen Regelwerke und Standards des Straßen- und Verkehrswesens harmonisiert. Zunächst wurde eine Studie erstellt, in der der Datenfluss in einer Straßenbauverwaltung von der Grundlagenermittlung bis zur Bestandsdokumentation analysiert und alle beteiligten Regelwerke und Standards aufgezeigt werden. Weiterhin werden Vorschläge für die Modellierung und Speicherung der Objekte gemacht. Auf der Grundlage dieser Studie werden die Objekte definiert. Der dabei entstehende Objektkatalog OKSTRA bietet erstmalig eine Gesamtübersicht aller Objektbereiche des Straßen- und Verkehrswesens mit ihren Standards und Regelwerken. Im Bericht werden die Notwendigkeit und der Nutzen dieses Standards sowie die Vorgehensweise zu seiner noch laufenden Entwicklung beschrieben.
In den vergangenen Jahrzehnten sind einige Untersuchungsstrecken mit dem Ziel angelegt worden, verschiedene Bauweisen bei gleichen Belastungs- und Umweltbedingungen in einem direkten Vergleich bezüglich ihrer Gleichwertigkeit zu beurteilen und/oder das Verhalten von Bauweisen bei unterschiedlichen Belastungs- und Umweltbedingungen langfristig zu beobachten. Die Untersuchungen an diesen Untersuchungsstrecken dauerten einige Monate bis zu mehreren Jahren. Ziel dieser Arbeit war es, die aus den seinerzeitigen Untersuchungsergebnissen der Untersuchungsstrecken mit zum Teil jahrzehntelanger Liegedauer gezogenen bemessungsrelevanten Schlussfolgerungen zu überprüfen. Ein wesentliches Kriterium für die Auswahl von zehn Untersuchungsstrecken waren der vorhandene Datenumfang und dessen Aufbereitungsgrad. Bei einer Anzahl von zehn Strecken sind die Variationsmöglichkeiten der einzelnen oben genannten Parameter nur gering. Im Zuge der Bearbeitung des Forschungsvorhabens durch elf Forschungseinrichtungen beziehungsweise Einzelpersonen wurden für die Untersuchungsstrecken örtliche Verhältnisse, Verkehrsdaten, Wetterdaten, Schicht- und Materialdaten, Bauklassen, Einsenkungen, Deflexionen, Krümmungen, Ebenheit im Längs- und Querprofil, Fahrbahnoberflächenzustand, Zustand der seitlichen Entwässerungseinrichtungen und Erhaltungsmaßnahmen ermittelt, ausgewertet und in Teilberichten dokumentiert. Die erhobenen Daten wurden in die Datenbank der Bundesanstalt für Straßenwesen (BASt) eingespeist und stehen somit allen potentiellen Nutzern zur Verfügung. Die vorhandenen und 1992 bis 1995 erhobenen Daten wurden zur Auswertung miteinander verknüpft. Teilweise wurden Abhängigkeiten nachgewiesen und teilweise, aufgrund der geringen Streckenanzahl, nur tendentielle oder vermutete Abhängigkeiten aufgezeigt.
In der zukünftig vorgesehenen Systematik der Straßenerhaltung werden zur routinemäßigen Beobachtung und Beurteilung des Ebenheitszustandes auf unterschiedlichen Entscheidungsebenen geeignete Systeme zur Messung von Fahrbahnunebenheiten benötigt. Um die aus den Messungen resultierenden Ergebnisse vergleichbar zu machen, müssen Verfahren zur Beschreibung beziehungsweise Bewertung von Unebenheiten zur Verfügung stehen, die sich einheitlicher Entscheidungsgrundlagen bedienen und deren Ergebnisse dazu ineinander überführbar sind. Der Teil 1 der Gesamtaufgabe beschäftigt sich mit der Sammlung einer repräsentativen Anzahl von Zustandswerten für das Fahrbahnoberflächenprofil in Längsrichtung und mit dem Vergleich von Mess- und Beschreibungsverfahren für Unebenheiten des Längs- beziehungsweise des Querprofils. Im Teil 2 werden die theoretischen Grundlagen zur Beurteilung der Mess- und Beschreibungsverfahren gelegt, wobei die Betrachtung auf die Messung der Ebenheit im Längsprofil beschränkt werden sollte. Die theoretischen Untersuchungen ergaben, dass allein die folgenden Geräte sich zur Messung der Ebenheit im Längsprofil eignen: Analyseur Dynamique de Profil en Long (APL), Automatic Road Analyzer (ARAN) und High Speed-Road Monitor (HPM). Alle drei Geräte messen das Straßenlängsprofil und eignen sich zur Ermittlung der Spektralen Dichte der Profilhöhen Omega(Index 0 hoch 1), die zur Zeit die einzige Beschreibungsgröße ist, die die Längsebenheit charakterisieren kann. Um die gemessenen Spektralen Dichten bewerten zu können, wurde eine Bewertungsgröße für die Längsebenheit, der Spektrale Ebenheits-Index (SEI) entwickelt, mit dessen Hilfe auch die in Teil 1 gesammelten Ebenheitsdaten von 180 km bundesdeutschen Straßen zu einem ersten Bewertungshintergrund ausgewertet werden konnten. Mit der Einführung der Spektralen Dichte Phi(Index h)Omega als Beschreibungs- und der Schaffung des SEI als Bewertungsgröße für die Ebenheit ist die Voraussetzung für eine sachgerechte und aussagekräftige Charakterisierung für die Allgemeinunebenheit im Längsprofil gegeben. Darüber hinaus stehen repräsentative Zustandswerte der Ebenheit aus dem aktuellen Straßennetz der Bundesrepublik Deutschland zur Verfügung.