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An die Lichtsignalsteuerung richten sich hohe Qualitätsanforderungen, da ihr für einen sicheren und flüssigen Verkehrsablauf im Straßennetz eine wichtige Rolle zukommt. Um eine hohe Qualität der Lichtsignalsteuerung auch im wachsenden Altbestand von Anlagen zu gewährleisten, liegt es nahe, eine regelmäßige, systematische Überprüfung vorzunehmen, um Mängel frühzeitig erkennen und beheben zu können. Ziel des Forschungsvorhabens war es, eine aufwandsoptimierte Verfahrensweise und die notwendigen Hilfsmittel für ein systematisches Qualitätsmanagement für Lichtsignalanlagen (LSA) zu entwickeln. Hierzu wurde zunächst die Lichtsignalsteuerung als Gegenstand des Qualitätsmanagements eingehend erörtert. Auf dieser Grundlage wurden Verfahrensweisen und EDV-gestützte Hilfsmittel entwickelt, mit denen die Güte des Verkehrsablaufs und die Verkehrssicherheit im Straßennetz und an einzelnen Knotenpunkten mit geringem Aufwand überprüft werden kann. Zur Qualitätsbewertung werden Unfalldaten, Prozessdaten und Betriebsdaten analysiert sowie der Verkehrsablauf vor Ort beobachtet. Der Aufbau einer Wissensbasis diente dazu, den Kenntnisstand zu Möglichkeiten der Qualitätsverbesserung an Lichtsignalanlagen für die Anwendung verfügbar zu machen. Hierin sind typische Qualitätsmaengel an Lichtsignalanlagen mit Möglichkeiten der Abhilfe verknüpft. Ferner sind Prüfbedingungen der Eignung und Umsetzbarkeit der Maßnahmen hinterlegt. Mit Hilfe dieses Expertensystems können Maßnahmen identifiziert und bewertet werden. Die Anwendung des Verfahrens an verschiedenen Knotenpunkten zeigt, dass der systematische und modulare Aufbau gut geeignet ist, aussagekräftige Informationen zur Qualität der Lichtsignalsteuerung zu erlangen und geeignete Maßnahmen zur Qualitätsverbesserung zu identifizieren. Das Verfahren kann mit geringem Aufwand durchgeführt werden und kann daher einen Beitrag für die verbreitete Anwendung des Qualitätsmanagements für Lichtsignalanlagen leisten.
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.
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.
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.
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.