Sonstige
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.
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.
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.
While it is important to track trends in the number of road accidents in different countries using national statistics, there is a need for data with more detailed information, so called in-depth accident data. For this reason, several accident data projects emerged worldwide in recent years. However, also different data standards were established and so comparative analysis of international in-depth data has been very hard to conduct, so far. This is why the project iGLAD (Initiative for the Global Harmonization of Accident Data) was established and created the prerequisites for building up a standardized dataset out of the common denominator of different in-depth accident databases from Europe, USA and Asia. In the first phase, the project received funding from ACEA to compile an initial database. To accomplish this, a suitable data scheme has been defined, a pilot study has been conducted as proof of concept and the recoding of the first common data base has been initiated. Also, to prepare the project for its self-supporting continuation in the next years, a business model has been developed. This paper reports the history and status of the project, the current challenges and the creation of a capable consortium to maintain the data. In mid-2014, the initial database containing 1550 cases from 10 different countries will be completed and a first detailed view on this data will be possible.
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.
Jahresbericht 2004
(2005)
Die Bundesanstalt für Straßenwesen (BASt) ist ein technisch-wissenschaftliches Forschungsinstitut des Bundesministeriums für Verkehr, Bau- und Wohnungswesen. Ihr Tätigkeitsspektrum umfasst schwerpunktmäßig angewandte und praxisnahe Forschung, die interdisziplinärer und immer stärker international angelegt ist, sowie Prüfungen, Zertifizierungen und Akkreditierungen und Beratungs- und Gutachtertätigkeiten in den Aufgabengebieten Straßenbautechnik, Brücken- und Ingenieurbau, Straßenverkehrstechnik, Fahrzeugtechnik, Verhalten und Sicherheit im Verkehr. Im Jahresbericht 2004 wird anhand ausgewählter Beispiele aufgezeigt, an welchen aktuellen Fragestellungen die BASt arbeitet. Die Bundesanstalt für Straßenwesen beschäftigte in 2004 über 400 Mitarbeiter.
Jahresbericht 2002
(2003)
Der Jahresbericht der Bundesanstalt für Straßenwesen (BASt) gibt wesentliche Ergebnisse aus den fünf Forschungsabteilungen Straßenbautechnik, Brücken- und Ingenieurbau, Straßenverkehrstechnik, Fahrzeugtechnik, Verhalten und Sicherheit im Verkehr wieder. Die Arbeit der Bast besteht sowohl in eigener Forschung als auch in der Betreuung von Forschungsprojekten, die namhafte Institutionen im Auftrag der BASt und des Bundesministeriums für Verkehr, Bau und Wohnungswesen (BMVBW) durchführten. Außerdem wird über die Mitarbeit der BASt an den Forschungsrahmenprogrammen der Europäischen Union sowie über Untersuchungsaufträge der Europäischen Kommission, Stellungnahmen für das BMVBW sowie Prüfaufträge für Dritte berichtet. Einen weiteren Schwerpunkt der BASt bildet die Qualitätssicherung. Ferner wird über die der Bundesanstalt für Straßenwesen zur Verfügung stehenden Forschungseinrichtungen berichtet, auf die Organisation, das Personal, den Haushalt und die zur Verfügung stehende Informationstechnik eingegangen. Darüber hinaus wird über die Öffentlichkeitsarbeit der BASt, die Veranstaltungen und die Auslandsbeziehungen informiert.
Interdisciplinary accident research and research projects of AARU Audi Accident Research Unit
(2017)
AARU (Audi Accident Research Unit) is an interdisciplinary research project of the University Hospital Regensburg in cooperation with AUDI AG. Specific objective is to comprehend the respective accident scenario and retrieve generally applicable findings as to technical, medical and psychological processes. In order to prevent traffic accidents and to alleviate vehicle accident consequences, postulates of general traffic safety, human-machine interaction, technical design and function of new vehicles and occupant as well as third party protection shall be inferred from these findings. Specifically, each accident with new Audi, Lamborghini and Ducati vehicles involved is analyzed interdisciplinary, discussed in a case meeting and anonymously documented with more than 2,000 parameters. The database is continually used for solving safety relevant issues. Parallel to accident analysis, research projects are performed in the fields medicine, psychology and engineering in order to gain comprehensive insight and identify potential additional areas of activity of accident research.
Im Rahmen des 12-monatigen Forschungsprogramms "Intelligente Straßenverkehrsinfrastruktur durch 3D-Modelle und RFID-Tags", aufgesetzt von der Bundesanstalt für Straßenwesen, entwickelte die HOCHTIEF Solutions AG ein Konzept für ein Infrastruktur-Informationssystem. Ziel dieses Forschungsvorhabens war es, das bestehende System der öffentlichen Anstalt für den Betrieb und Erhalt von Brückenbauwerken, sowie die dazugehörigen Workflows mithilfe neuer Technologien zu optimieren. Das entwickelte Konzept für ein Infrastrukturinformationssystem ISIS, kurz für Intelligente StraßenverkehrsInfraStruktur, wurde als eine Schale um die bereits vorhandene Straßeninformationsbank-Bauwerke (SIB-BW) herum konzipiert. Alle Prozesse und Datenflüsse, die rund um diese Datenbank bestehen, bleiben damit unverändert. Zusätzliche Informationen und Dokumente, die an die vorhandenen Datensätze angefügt werden sollen, werden in dem neuen System abgelegt und mit dem Bestandsdatensatz verknüpft. Ziele: - Informationsbereitstellung optimieren, - 3D unterstützte Dokumentation des Bauwerksprüfprozesses, - Anlehnung an bestehende Prozesse, - Einbindung mobiler Endgeräte und Zustandssensoren. ISIS gründet sich auf folgende Komponenten: - Bauwerksmodelle: -- 2D-Platzhalter für Bestandsbauten, -- 3D-Modelle für Neubauten, - mobile Schadensaufnahme via mobiler Endgeräte, - Frühwarnsysteme auf Basis von RFID-Technologie (Feuchtigkeit und Korrosion), - 3D-Pins für die Markierung relevanter Punkte (RFID-Detektoren, Schäden, etc.), - Hardware mit hoher Verfügbarkeit und Akzeptanz (iPads). Um allen Beteiligten den Zugriff zu dem Informationssystem zu ermöglichen, wird das System zur Ausführung auf einer Online-Plattform konzipiert. Alle relevanten Informationen eines Straßenverkehrsinfrastrukturprojektes können in konsolidierter Form bereitgestellt werden. Die bisher dezentrale und inkompatible Datenhaltung in mehreren Teilsystemen wird unterbunden und eine einfache und durchgängige Nutzung des Datenbestandes in Planung, Bau und Betrieb wird ermöglicht. Um den Prozess der Bauwerksprüfung effizienter zu gestalten, sollen Informationen zum Bauwerkszustand mithilfe der 3D-Pin-Markierung und dem Einsatz von Radiofrequenz-Technologie (RFID) regelmäßig überprüft werden, um Bauwerksschäden frühzeitig erkennen zu können.
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.
Die Berücksichtigung aller Einflüsse im gesamten Lebenszyklus einer Brücke bildet die Grundlage für Nachhaltigkeitsanalysen. Hierfür müssen Instandhaltungsszenarien auf Basis von Erneuerungszyklen für die einzelnen Bauteilgruppen " das sind Lager, Fahrbahnübergänge, Kappen etc. " definiert werden. Dieser Beitrag leitet drei Strategien für den deutschen Raum her, die für die Nachhaltigkeitsbewertung von Brückenbauwerken angewendet werden können. Die Auswertungen der in Deutschland vorhandenen empirischen Datenbasis bildet hierfür die Grundlage. Zwei Strategien werden abschließend an einer Referenzbrücke als Autobahnüberführung in Integralbauweise zur Anwendung gebracht und mit Hilfe einer Ökobilanzierung, als Teil einer Nachhaltigkeitsanalyse, aus ökologischer Sicht bewertet.
Nowadays, traffic accidents are recorded in historical databases. Regarding the huge quantity of data, the use of data mining tools is essential to help Experts, for automatically extracting relevant information in order to establish and quantify relations between severity and potential factors of accidents. An innovative approach is here proposed for an in depth investigation of real world accidents data base. Mutual information ratio based on conditional entropies is used to quantity the association strength between an accident outcome descriptor (injury severity) and other potential association factors. Information theoretic methods help to select automatically groups of factors mostly responsible of the severity of accident.
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.
The main objective of EC CASPER research project is to reduce fatalities and injuries of children travelling in cars. Accidents involving children were investigated, modelling of human being and tools for dummies were advanced, a survey for the diagnosis of child safety was carried out and demands and applications were analysed. From the many research tasks of the CASPER project, the intention of this paper is to address the following: • In-depth investigation of accidents and accident reconstruction. These will provide important points for the injury risk curve, in order to improve it. Different accident investigation teams collected data from real road accidents, involving child car passengers, in five different European countries. Then, a selection of the most appropriate cases for the injury risk curve and the purposes of the project was made for an in-depth analysis. The final stage of this analysis was to conduct an accident reconstruction to validate the results obtained. The in-depth analysis included on-scene accident investigation, creating virtual simulations of the accident/possible reconstruction, and conducting the reconstruction. In the cases of successful reconstructions, new points were introduced to the injury risk curves. Accident reconstructions of selected cases were carried out in test laboratories as the next step following in-depth road accident investigation. These cases were reconstructed using similar child restraint systems (CRS) and the same type make and model as in the real accidents. Reconstructing real cases has several limitations, such as crash angle, cars" approximation paths and crash speed. However, a few changes and applications on the testing conditions were applied to reduce the limitations and improved the representations of the real accidents. After conducting the reconstructions, a comparison between the deformations of the cars on the real accident and the vehicles from the reconstructions was made. Additionally, a correlation between the data captured from the dummies and the injury data from the real accident was sought. This finalises an in-depth analysis of the accident, which will provide new relevant points to the injury risk curve. The CASPER project conducted a large research programme on child safety. On technical points, a promising research area is the developing injury risk curves as a result of in-depth accident investigations and reconstructions. This abstract was written whilst the project was not yet finished and final results are not yet known, but they will be available by the time of the conference. All the works and findings will not necessarily be integrated in the industrial versions of evaluation tools as the CASPER project is a research program.
Although road infrastructure is developed extensively Brazil is still one of the countries with the most dangerous roads in the world. In order to stop the increasing trend of traffic fatalities of the last few years and to improve traffic safety on Brazilian roads a pilot study on behalf of SAE Brazil started in March 2016 with the goal to lay the foundations for a long-term research activity. Piloting for an in-depth accident investigation the city of Campinas, roughly 100 km north of São Paulo was chosen. The pilot project was carried out with the local partner, the Empresa Municipal de Desenvolvimento de Campinas (EMDEC). The paper reports on the initial training of evidence based accident data collection on-spot, the implementation of the new digital database, the data collection and the first results. An outlook on the planned long-term accident investigations is given.
Road condition acquisition and assessment are the key to guarantee their permanent availability. In order to maintain a country's whole road network, millions of high-resolution images have to be analyzed annually. Currently, this requires cost and time excessive manual labor. We aim to automate this process to a high degree by applying deep neural networks. Such networks need a lot of data to be trained successfully, which are not publicly available at the moment. In this paper, we present the GAPs dataset, which is the first freely available pavement distress dataset of a size, large enough to train high-performing deep neural networks. It provides high quality images, recorded by a standardized process fulfilling German federal regulations, and detailed distress annotations. For the first time, this enables a fair comparison of research in this field. Furthermore, we present a first evaluation of the state of the art in pavement distress detection and an analysis of the effectiveness of state of the art regularization techniques on this dataset.
The increasing economics in India has an enormous growth of its road traffic. As observed from official Indian accident statistics the number of road fatalities are one of the highest worldwide. In contrast to most industrialized nations they have an rapidly increasing trend. To come along with this trend it becomes more than essential to understand the traffic accident situation. The official Indian accident statistics gives a glimpse of only basic information. Therefore more detailed data is needed. By using In-depth accident data and officially representative statistics the current accident situation can be evaluated in India, if a suitable weighting methodology is considered. Hence in 2009/2010 a pilot study with the collaboration partner JP-Research India pvt. Ldt. was gathered in Tamil Nadu in south of India. In-depth accident investigations were done around the Coimbatore area on four highways. At first, the collected data is evaluated. Due to consequent and continuous further development based on the first approach a methodology similar to NASS/CDS/GES in the US and GIDAS in Germany was developed. Of course all relevant accident related parameters including pictures and severity information were collected. As a matter of fact based on scaled sketches and reconstruction benefit analyses can be done in order to analyze the accident scenery in India. As a first outcome influence from infrastructure, missing education and vehicle safety were identified as key parameters in order to reduce the number of accidents and casualties. To compare the accident situation against international standards an accident classification for left hand traffic was developed based on the German Insurance classification system. Looking into detail additional accident types were identified and added to create an Indian accident type catalogue. The positive results encouraged several OEMs to participate in this investigation and together with BOSCH a consortium was established in 2010/11. Within one year from beginning in May 2011 about 200 highway accidents were collected, reported and reconstructed using the new standard. Hence a first good overview of the accident situation is available for the Coimbatore Tamil Nadu area. The major target for establishing accident investigations is the extension towards other states of India and urban areas to achieve a better overview of the accident scenery. Therefore local and national authorities have to be embedded in order to strengthen the awareness against traffic safety.
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.
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).
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).