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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 Decision Support System (DSS) is one of the key objectives of the European co-funded research project SafetyCube in order to better support evidence-based policy making. Results will be assembled in the form of a DSS that will present for each suggested road safety measure: details of risk factor tackled, measure, best estimate of casualty reduction effectiveness, cost-benefit evaluation and analytic background. The development of the DSS presents a great potential to further support decision making at local, regional, national and international level, aiming to fill in the current gap of comparable measures effectiveness evaluation. In order to provide policy-makers and industry with comprehensive and well-structured information about measures, it is essential that a systems approach is used to ensure the links between risk factors and all relevant safety measures are made fully visible. The DSS is intended to become a major source of information for industry, policy-makers and the wider road safety community.
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.
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.
In 2016 the seventh ESAR conference (Expert Symposium on Accident Research) was held in Hannover. ESAR is an international convention of experts, who analyze traffic accidents all over the world and discuss their results in this context, conducted at the Medizinische Hochschule Hannover every 2 years. It connected representatives of public authorities, engineers in automotive development and scientists and offers a forum with particular emphasis on In-Depth-Analyses of accident statistics and accident analyses. Special focus is placed on research on the basis of so-called "In-Depth-Accident-Investigations" [data collections at the sites of the accidents], which are characterized by extensive documentations of the sites of the accidents, of the vehicles as well as of the injuries, encompassing several scientific fields. ESAR aims at a multi-disciplinary compilation of scientific results and at discussing them on an international, scientific level. It is thus a scientific colloquium and a platform for exchanging information for all accident researchers. Experiences in accident prevention as well as in the complex field of accident reconstruction are stated and new research fields are added. Existing results of long-term research work in Europe, the US, Australia and Japan include different infrastructural correlations and give findings on population, vehicle population and driver characteristics, which offer a basis for recommendations to be derived and measures for increasing road safety.
Ziel des Forschungsprojektes war die Erarbeitung eines webbasierten Verfahrens für die Verkehrssicherheitsarbeit, welches dem Anwender bei der Bearbeitung von Unfallhäufungen potenziell geeignete Maßnahmen in Abhängigkeit der örtlichen Randbedingungen vorschlägt, deren Sicherheitswirkung abschätzt sowie die Möglichkeit bietet, die Maßnahmenwirkung in einer retroperspektiven Betrachtung zu evaluieren. Dabei stellt das Verfahren eine Weiterentwicklung und Ergänzung des Merkblatts "Auswertung von Straßenverkehrsunfällen, Teil 2: Maßnahmen gegen Unfallhäufungen" (FGSV 2002) dar. Grundgerüst der Maßnahmensammlung bilden neben dem Merkblatt der FGSV (2002) aktuelle Erkenntnisse verschiedener Forschungsarbeiten (SPAHN 2012, GERLACH et al. 2009, MAIER et al. 2010, u. w.) zu Maßnahmen gegen Unfallhäufungen, die einer Prüfung und Kategorisierung unterzogen wurden. Der Hauptbestandteil des webbasierten Verfahrens umfasst Schritte zur Unfallanalyse, Maßnahmenfindung und Wirksamkeitsprüfung nach dem "Merkblatt zur örtlichen Unfalluntersuchung in Unfallkommissionen " M UKo" (FGSV 2012). Mit der Übermittlung der Unfallinformationen zu Unfallhäufungen aus den EDV-Systemen der Unfalldatenhaltung in das Programm ist eine spezifische Bearbeitung von Unfallhäufungen möglich. Darüber hinaus wird die Möglichkeit von Rangfolgebildungen zur zielgerichteten Priorisierung von Arbeitsprogrammen angeboten. Die Vorschläge geeigneter Maßnahmen zur Bekämpfung einer Unfallhäufung stuetzen sich im Verfahren auf die Analyse typischer Konfliktsituationen, welche aus den Unfalldatensätzen bestimmt werden. Zur Überprüfung der Angemessenheit und Durchsetzbarkeit von Maßnahmen (-paketen) steht dem Anwender eine Abschätzung des Nutzen-Kosten-Verhältnisses auf Basis des fallbezogenen Unfallgeschehens zur Verfügung. Die kontinuierliche Anwendung des Verfahrens erlaubt dem Nutzer die Dokumentation der Arbeitsschritte. Diese beinhaltet über die Umsetzungskontrolle hinaus wiederum eine fallbezogene Wirksamkeitsprüfung (Evaluierung) der realisierten Maßnahmen. Die stetige Aktualisierung der Maßnahmen und ihrer Kenngrößen (u. a. Wirkungsgrad, Kosten) stellt einen wesentlichen Bestandteil des webbasierten Verfahrens dar, um einen zielorientierten Beitrag zur Bekämpfung von Unfallhäufungen zu leisten.