81 Unfallstatistik
Im Hinblick auf eine breitere Anwendung der "Empfehlungen für die Sicherheitsanalyse von Straßennetzen" (ESN) und in Anbetracht der bevorstehenden Einführung der "Richtlinien für die Anlage von Autobahnen" (RAA) wurden im Rahmen einer Untersuchung der Bundesanstalt für Straßenwesen (BASt) abschnittsbezogene Unfallkenngrößen mit Straßendaten verschnitten, um aktuelle Unfallkostenraten für künftige Regelquerschnitte von Autobahnen zu ermitteln.
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.
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.
It is well known that motorcycle riding is fascinating but quite more dangerous than for example car driving. In 2006, 5,091 persons were killed as victims of crashes occurring on public roads in Germany. 52% (2,683) were car occupants, 16% (793) motorcycle riders, 14% (711) pedestrians, 10% (486) bicycle riders, 5% (235) commercial vehicle occupants, 2% (107) riders of smaller powered two-wheelers, called "Mofa, Moped and Mokick". This shows that motorcycle riders recently are the second largest group of killed traffic participants in Germany. Latest information coming from the Federal Statistics predict for the year 2007 the figure of 4,958 killed road victims in total. This would be again a successful reduction (-133 killed persons or "2.6% compared to the year 2006). But the news coming from the Federal Statistics during the year 2007 and at the begin of 2008 did not always tell the same positive story. It is questioned whether the positive trend of substantially reduced figures of killed road user year by year will longer continue for Germany. That means it could be impossible to reach the ambitious target, set by the European Commission, to cut in half the figure of killed road users until the year 2010 " compared to the figure for the year 2001. It was reported that the group of 45 to 49 years old traffic participants (all traffic modes) is conspicuous with an increase of 30% up to 297 killed road users in total from January to August 2007. This increase can be ascribed in particular by an increase of killed motorcycle riders within this age group. Due to mild weather conditions in Germany in 2007 the season for motorcycle riding began relatively early and this may be a main reason for the increase of the figure of killed motorcycle riders by 16% from January to August 2007. With this background the accident occurrence of motorcycles became more and more essential. As part of the actual discussion about historical trends, recent emphases, causes and relevant structures of the events of motorcycle crashes it is evident, to have latest and carefully updated figures coming from both the Federal Statistics and In-depth studies. The paper will give a contribution to this using the German Federal Statistics and in-depth studies, for example GIDAS. Additional data coming from the DEKRA Motorcycle Accident Database as well as from literature are considered, too. The paper will help to describe the current situation of the accident involvement of motorcycles in Germany.
Automotive Engineering, Mechanical Engineering and TechnologyrnAbstract: The degrees of injury severity, as a rule injuries scaled by AIS of specific regions of the human body, investigated out of road traffic accidents correspond to the body-specific loading values, which are found out with the aid of experimental or mathematical simulation of crash tests with motor vehicles or with sled tests. The coherence between the injured human being on the one hand and the physical and the theoretical model respectively on the other hand is established by the risk function, which describes the probability of degrees of injury severity in dependence on the protection criteria. Due to the different physical characteristics in the simulation, e.g. accelerations, forces, compressions and their velocity, the compilation of these quantities, comparable to the MAIS, the maximal occurred single AIS obtained in accident analysis is much more difficult in the simulation than in the accident occurrence. Therefore it is obvious to normalize the loading values gained out of simulation and to summarise them to an entire value in a suitable manner, the safety index.rn