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The declining trend since 1991 in the number of killed people was broken in 2011 when overall 4 009 people died in traffic accidents in Germany. The question arises if there is a stagnating trend of fatalities in Germany in future? By breaking down the accidents with casualties towards a monthly view one can see a decreasing trend of fatalities in the warmer months especially since 2009. When comparing against winter months higher deviations are observed. In December 2011 an increase of 191 traffic deaths were registered (181 in 2010 compared to 372 in 2011). Further analyses of different accident influences were evaluated and their possibility of drastic change from one year to the other was determined. As seen weather- and environmental conditions are one of the major contributing factors and are one of the causes for the increased number of fatalities. To support the underlying assumption a model had been created to calculate the number of traffic deaths on a daily basis approach. As an input, road conditions projected through weather parameters and also different driving behaviors on weekdays or holidays were used. As a result, estimates of daily fatality with up to 75% precision can be achieved out of the 2009, 2010 and 2011 data. Further on it shows that weather and street conditions have a high influence on the overall resulting number of traffic accidents with casualties, and especially to the number of fatalities. Hence it is estimated that approximately 3 300 people were killed in traffic accidents in Germany in 2013 which would be again a reduction of another 13% compared to 2012. Therefore an answer to the question will be that the decreasing trend in traffic fatalities in Germany somehow is not broken when environmental conditions are included in national statistics. Their effects will become more visible in future accident statistics and it is estimated variances of 5% to 8% of the annual number of traffic fatalities in Germany will be seen.
The paper gives an overview of the recent (mostly 2012) figures of killed bus/coach occupants (drivers and passengers) in 27 Member States of the European Union as reported by CARE. The Evolution of the figures of bus/coach occupants killed in road accidents urban, rural without motorway and on motorways from 1991 to 2010 in 15 Member States of the EU supplements this information. More detailed are the figures reported for Germany by the Federal Statistics. The paper displays long-term evaluations (1957 to 2012) for killed, seriously and slightly injured occupants in all kinds of buses/coaches. Midterm evaluations (1995 to 2012) of the figures of fatalities and casualties are displayed for different busses according to their identification of road using as coaches, urban buses, school buses, trolley buses and "other buses". To be able to compare the evolutions of the safety of vehicle occupants it is customary to use different risk indicators. Calculations and illustrations for three often used indicators with their development over time are given: fatalities, seriously injured and slightly injured per 100,000 vehicles registered, per 1 billion (109) vehicle-kilometres travelled and per 1 billion (109) person-kilometres. These indicators are shown for occupants of cars, goods vehicles and buses/coaches. For the period from 1957 until 2012 it is obvious, that for all three vehicle categories analysed there was a clear long-term trend towards more occupant safety in terms of casualties per vehicles registered and per vehicle mileage. This was most significant for car occupants but it can be seen for bus/coach occupants and goodsvehicle occupants as well. Figures of killed occupants and of casualties related to person-kilometres are calculated and displayed for the shorter period 1995 to 2012. Here it becomes obvious that the bus/coach is still the safest mode of transport for the occupants of road vehicles. Graphs for the casualty risk indices still show significantly higher risks for car occupants despite the corresponding curve moved sustainable downwards. It is remarkable, that the risks of being killed or injured for the occupants of urban buses is growing whereas the corresponding risk for the occupants of coaches in line traffic tends downwards. The article ends with a short comparison and discussion of the risk indicators which are actually published for the occupants (driver and passengers) of cars and the passengers of buses/coaches, railroads, trams and airplanes. The interpretation of such information depends on the perception and it seems that for a complete view not only one indicator should be used and the evolutions of the indicator values during longer periods (as displayed with examples in the paper) should also be taken into account.
Although the annual traffic accident statistics published by the national police is available in public, the detailed traffic accident data has not been released in Korea. Recently the Ministry of Land, Infrastructure and Transport recognized the importance of in-depth accident data to enhance road traffic safety and initiated a research project to establish a collection of the detailed accident data. The main objective of the project is a feasibility study to establish KIDAS (Korea In-Depth Accident Study). Within this project, three university hospitals which are located in mid-size cities have been selected to collect accident data. Annually, more than 500 cases of accidents have been collected from the in-patient's interviews and diagnosis. Unlike GIDAS (German In-Depth Accident Study), currently on-site investigation can"t be performed by the Korean police. The only available data is patient medical records, patient's description of accident circumstances and the damaged vehicle. Occasionally the police provide the accident investigation reports containing very brief information on accident causation and vehicle safety. In a first step, the concept of KIDAS is to adopt the format of iGLAD (Initiative for the Global Harmonization of Accident Data) for harmonization. Since the currently collected accident information is extremely limited compared with GIDAS, the other sources of data and calculations such as KNCAP vehicle data, pc-crash simulations, vehicle registration information, insurance company data are utilized to complete the iGLAD template. Results from KIDAS_iGLAD and the cases of assessment of active safety devices such as AEBS, ESC, and LDWS will be evaluated.
The main focus of the benefit estimation of advanced safety systems with a warning interface by simulation is on the driver. The driver is the only link between the algorithm of the safety system and the vehicle, which makes the setup of a driver model for such simulations very important. This paper describes an approach for the use of a statistical driver model in simulation. It also gives an outlook on further work on this topic. The build-up process of the model suffices with a distribution of reaction times and a distribution of reaction intensities. Both were combined in different scenarios for every driver. Each scenario has then a specific probability to occur. To use the statistical driver model, every accident scene has to be simulated with each driver scenario (combinations of reaction times and intensities). The results of the simulations are then combined regarding the probabilities to occur, which leads to an overall estimated benefit of the specific system. The model works with one or more equipped participants and delivers a range for the benefit of advanced safety systems with warning interfaces.
The evaluation of the expected benefit of active safety systems or even ideas of future systems is challenging because this has to be done prospectively. Beside acceptance, the predicted real-world benefit of active safety systems is one of the most important and interesting measures. Therefore, appropriate methods should be used that meet the requirements concerning representativeness, robustness and accuracy. The paper presents the development of a methodology for the assessment of current and future vehicle safety systems. The variety of systems requires several tools and methods and thus, a common tool box was created. This toolbox consists of different levels, regarding different aspects like data sources, scenarios, representativeness, measures like pre-crash-simulations, automated crash computation, single-case-analyses or driving simulator studies. Finally, the benefit of the system(s) is calculated, e.g. by using injury risk functions; giving the number of avoided/mitigated accidents, the reduction of injured or killed persons or the decrease of economic costs.
Die Untersuchung zum Forschungsprojekt FE 82.0499/2011 "Ausdehnung der Kostentragungspflicht des -§ 25a StVG auf den fließenden Verkehr" befasst sich mit der Thematik einer möglichen Ausdehnung der bislang ausschließlich für den ruhenden Verkehrs geltenden Kostentragungspflicht des -§ 25a StVG auf Verkehrsverstöße im fließenden Verkehr. Dieses Forschungsprojekt hatte die Aufgabenstellung zu erfüllen, aus der Arbeitspraxis der Bußgeldbehörden in den Bundesländern eine für die Ansprüche wissenschaftlicher Auswertungen qualitativ und quantitativ ausreichende Datenmenge zur Bearbeitung digital erfasster Geschwindigkeits-, Rotlicht- und Abstandsverstöße zu erheben. Dieser Gesamtdatenbestand sollte gesammelt, thematisch geordnet und hinsichtlich der einschlägigen Tatbestände sowie der Verfahrenseinstellungen aufbereitet werden. Hauptergebnis der Studie ist: - Bei einer Gesamtanzahl von 10,7 % eingestellter Bußgeldverfahren wird eine Anzahl von 2,5 % Bußgeldverfahren eingestellt, weil bei einem mittels digitaler Messtechnik beweissicher festgestellten Verkehrsverstoß und zweifelsfrei dokumentiertem Kfz-Kennzeichen der Fahrzeugführer trotz mindestens einer Ermittlungsmaßnahme nicht vor Eintritt der Verfolgungsverjährung ermittelt werden konnte.
Die Bewertung von Projekten im Rahmen von Kosten-Nutzen-Analysen erfordert quantitative Input-Informationen zu den Kosten von Verkehrsunfällen. In der deutschen Bewertungspraxis werden bislang ausschließlich die mittel- und unmittelbar anfallenden monetären Folgen von Verkehrsunfällen quantitativ berücksichtigt, während die immateriellen Folgen wie Schmerz, Leid, Verlust an Lebensqualität bzw. die Zahlungsbereitschaft der Bevölkerung zur Verringerung/Vermeidung dieser Folgen unberücksichtigt bleiben. Die hier vorgelegte Vorstudie fasst den heutigen Stand der Forschung zur Quantifizierung von Zahlungsbereitschaften für die Verkehrssicherheit durch eine umfassende und systematische Übersicht der wissenschaftlichen Literatur zusammen. Die fünf Verfahren hedonische Preisbildung, kontingente Bewertungsmethode, Risiko-Risiko-Analyse, Standardlotteriemethode und Stated-Choice (SC) werden hinsichtlich ihrer theoretischen Fundierung, der verwendeten methodischen Ansätze (Art der Befragung, Modellierung etc.) und den Anwendungserfahrungen untersucht. Unter den verfügbaren Verfahren stellen die SC-Methoden den heutigen State-of-the-Art in der Forschung zur Ermittlung der Zahlungsbereitschaft der Bevölkerung für nicht marktfähige Güter dar. Allerdings liegen die meisten Anwendungserfahrungen mit SC-Ansätzen bislang für die Bewertung der Reisezeit und der Zuverlässigkeit vor. Zusammenfassend ist festzustellen, dass im Laufe der letzten Jahre eine Lücke zwischen dem Stand der Forschung (SC-Methoden) und dem Stand der Praxis (andere Methoden) entstanden ist, die mit Anwendungserfahrungen gefüllt werden sollte. Insbesondere für Deutschland liegt ein wesentlicher Forschungsbedarf vor. Basierend auf diesem Überblick werden daher Vorschläge für die weitere Forschung entwickelt.
While accident statistics on a national level are provided by many countries, there is a need for international data that includes more detailed information about the accident, so called in-depth data. As a consequence, accident data projects have been emerging in different regions of the world. This creates a need for comparable and mergeable data from different countries, enabling the use of already existing accident data resources and helping to expedite the improvement of global road safety. While existing approaches focus that mostly on building a comprehensive accident database from scratch, the iGLAD project (Initiative for the Global Harmonization of Accident Data) attempts a more pragmatic approach by building on top of the work already accomplished in this area and complementing it. The target of iGLAD is to help setting up an additional dataset as a compatibility layer between already existing world wide data sets and integrating the structure of these by defining a common data scheme. This dataset is limited to the common denominator between the existing data sets and is inherently rather small and simple. Eventually, an individual converter for each participating accident investigation group will be built that enables pooling all data sets in a common repository. This not only saves costs and time, and hence makes such a target more feasible, but also creates data that is usable right from the start. This paper gives an overview of the current status of iGLAD and first steps taken. Additionally, some methodological aspects are discussed, next to a glance at other projects working currently on related issues, providing additional input for iGLAD. Finally, an overview of next steps and intended future work is given.
Zur Überwachung der Verkehrsentwicklung und zur Ermittlung der Verkehrsstärken auf den Bundesfernstraßen - Bundesautobahnen und Bundesstraßen - fand im Jahre 2010 wieder eine bundesweite Straßenverkehrszählung (SVZ 2010) im Rahmen des üblichen Fünfjahres-Turnus statt. Die Länder hatten die Möglichkeit, auch das nachgeordnete Netz (Landes- und Kreisstraßen) zu zählen und im Rahmen der SVZ 2010 auswerten zu lassen. Von dieser Möglichkeit machten nicht alle Länder Gebrauch, so dass bundesweit nur 59 % der Landesstraßen und nur 34 % der Kreisstraßen mit Zählungen abgedeckt waren. Zu diesen beiden Straßenkategorien können somit keine allgemeinen Aussagen getroffen werden. Der vorliegende Bericht beinhaltet mittlere DTV und Jahresfahrleistungen, differenziert nach Fahrzeugarten und Straßenklassen für das Bundesgebiet insgesamt und für jedes einzelne Bundesland. Außerdem sind Beschreibungen zur Berechnung der DTV- und Fahrleistungsstatistiken enthalten sowie einige Ausführungen zu Entwicklungen der mittleren DTV-Werte und Jahresfahrleistungen in Bezug auf 2005.
Analysis of the accident scenario of powered two-wheelers on the basis of real-world accidents
(2013)
For the first time since 20 years the German national statistics of traffic accidents revealed an increasing number of fatalities and seriously injured persons in 2011. This negative development was especially caused by increasing numbers in all groups of vulnerable road users (VRU). Furthermore, the comparison of fatality reduction rates between several categories of road users shows that persons on motorcycles show the worst performance over years. Although every second fatality in German traffic accidents is still a car occupant, users of PTW make up more than 20% in the meantime. Assuming further improvements in the field of occupant protection this trend will continue. For that reason, a study on the basis of real-world accidents was conducted to describe the accident scenario involving motorcycles and to identify the reasons of the above-described fact. Approximately 1.800 motorcycle accidents out of GIDAS database were used for the analyses. The first part of the study deals with the question how representative the GIDAS database is for the German motorcycle accident scenario. Afterwards, detailed descriptive statistics on motorcycle accidents were presented considering numerous parameters about the accident scene, environmental influences, vehicle information, individual characteristics, interview data, injury severity and injury causation. One important point is the identification of the most frequent critical situations that are typical for motorcycle accidents. Furthermore, a special focus was on accident causation. Finally, conspicuous facts out of the analysis are emphasized. All in all, the study gives a comprehensive overview about the German motorcycle accident scenario. One the one hand, the use of weighted GIDAS data allows representative and robust statements on the basis of large case numbers; on the other hand highly detailed conclusions can be drawn. The results of the study help to understand the particularities of motorcycle accidents and provide approaches for further improvements in the field of PTW safety.