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The sequence of accident events can be classified by three essential phases, the pre-crash-sequence, the crash-sequence and the post-crash-sequence. The level of reliability of the information in the GIDAS-database (German In Depth Accident Study) is provided predominantly on the passive side. The period to evaluate active safety systems begins already in the pre-crash-sequence. The assessment of the potential of sensor- or communication-based active safety systems can only be accomplished by a detailed analysis of the pre-crash-phase. Hence the necessity to analyze the early period of the accident event in detail arises. This is possible with the help of the digital sketches of the accident site and the simulation of the accident by a simulation method of the VUFO GmbH. After simulating the pre-crash scenario it is possible to generate additional and standardized data to describe the pre-crash-sequences of an accident in a very high detail. These data are documented in a second database called the GIDAS Pre-Crash-Matrix (PCM). The PCM contains various tables with all relevant data to reproduce the pre-crash-sequence of traffic accidents from the GIDAS database until 5 seconds before the first collision. This includes parameters to describe the environment data, participant data and motion or dynamic data. This paper explains the creation of the PCM, the simulation itself and the contents and structure of the PCM. With this information of the pre-crash-sequence for various accident scenarios an improved benefit estimation and development of active safety systems can be made possible.
The Swedish National Road Administration (SNRA), the Japanese Automobile Research Institute (JARI) and the Federal Highway Research Institute (BASt) are co-operating in the International Harmonized Research Activities on Intelligent Transportation Systems (IHRA-ITS). Under this umbrella a joint study was conducted. The overall objective of this study was to contribute to the definition and validation of a "battery of tools" which enables a prediction and an assessment of changes in driver workload due to the use of in-vehicle information systems (IVIS) while driving. In this sense \"validation\" means to produce empirical evidence from which it can be concluded that these methods reliably discriminate between IVIS which differ in terms of relevant features of the HMI-design. Additionally these methods should also be sensitive to the task demands imposed on the driver by the traffic situation and their interactions with HMI-design. To achieve these goals experimental validation studies (on-road and in the simulator) were performed in Sweden, Germany and Japan. As a common element these studies focused on the secondary task methodology as an approach to the study of driver workload. In a joint German-Swedish on-road study the Peripheral Detection Task (PDT) was assessed with respect to its sensitivity to the complexity of traffic situations and effects of different types of navigation systems. Results show that the PDT performance of both the German and the Swedish subjects reflects the task demands of the traffic situations better than those of the IVIS. However, alternative explanations are possible which will be examined by further analyses. Results of this study are supplemented by the Japanese study where informational demands induced by various traffic situations were analysed by using a simple arithmetic task as a secondary task. Results of this study show that relatively large task demands can be expected even from simple traffic situations.
The bicyclist accidents were analyzed to get better understanding of the occurrences and frequency of the accidents, injury distributions, as well as correlation of injury severity/outcomes with engineering and human factors in two different countries of China and Germany. The accident cases that occurred from 2001 to 2006 were collected from IVAC database in Changsha and GIDAS database in Hannover. Based on specified sampling criteria, 1,570 bicyclist cases were selected from IVAC database in Changsha, and 1806 cases were collected from Hannover, documented in GIDAS database. Statistical analyses were carried out by using these selected data. The results from the statistical analysis are presented and discussed in this study.
In Germany, in-depth accident investigations are carried out in the Hannover area since 1973. In 1999 a second region was added with surveys in Dresden and the surrounding area. Internationally, the acronym GIDAS (German In-Depth Accident Study) is commonly used for these surveys. Compared to many other countries, the sample sizes of the GIDAS surveys are much larger. The goal is to collect 1.000 accidents involving personal injuries per year and region. Data collection takes place by using a sampling procedure, which can be interpreted as a two-stage process with time intervals as primary units and accidents as secondary units. An important question is, to what extend these samples are representative for the target population from which they are drawn. Analyses show, for example, that accidents with persons killed or seriously injured are overrepresented in the samples compared to accidents with slightly injured persons. This means, that these data are subject to biases due to uncontrolled variation of sample inclusion probability. Therefore, appropriate weighting and expansion methods have to be applied in order to adjust or correct for these biases. The contribution describes the statistical and methodological principles underlying the GIDAS surveys with respect to sampling procedure, data collection and expansion. In addition, some suggestions regarding potential improvements of study design are made from a methodological point of view.
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.
Topics of this report are: Road construction (highways, interstate roads, urban by-passes, cycle tracks, construction sites, level crossings removal), traffic management systems, road tunnel equipment, harmonisation of vehicle regulations, accident statistics and accident research, passive vehicle safety, active vehicle safety , automotive environmental protection and rescue systems.
Topics of this report are: Securing mobility and making mobility sustainable - Strategies for road safety: Safe behavior, Safe vehicles, Safe infrastructure, Telematics, International vehicle-engineering measures " Accident statistics " Accident research " Passive vehicle safety " Active vehicle safety " Driver assistance systems " Environmental protection through vehicle engineering.
Technical progress in automotive engineering focuses at the moment on two competing branches: improving safety and reducing energy consumption. Recent consideration has been given to a third factor, cost to the consumer. Challenges are presented by demographic changes, especially with increasing participation of elderly people in road traffic. The report considers the recent history of road accidents in Germany and statistics relating to vehicle population and road performance. There is a general trend towards decreasing numbers of accidents and their severity. Transport is responsible for roughly 20% of CO2 emissions and approximately 70% of total petroleum consumption. The Federal Government has responded to these challenges by publishing the Freight Transport and Logistics Masterplan in the summer of 2008. It describes the strategic transport policy direction and the key elements of the future course of action which are to be used to ensure the provision of efficient infrastructure and, at the same time, to reduce the amount of energy consumed by vehicles and make transport more efficient, cleaner and quieter. This document contains a number of concrete measures subsumed under the following six objectives: Making optimum use of transport infrastructure - shaping transport to make it more efficient; Reducing the number of journeys - ensuring mobility; Transferring more traffic to the railways and inland waterways; Upgrading more transport arteries and hubs; Environmentally friendly, climate friendly, quiet and safe transport, and Good working conditions and good training in the freight transport industry. Progress in research is outlined in the following areas: Daytime Running Lights for Motorcycles; Safety of hydrogen vehicles - addressing safety and environmental issues by development of a Global Technical Regulation for hydrogen vehicles; Elements of active vehicle safety for elderly drivers; Periodical Technical Inspection of electronically controlled systems in road vehicles - Electronic Stability Control; Pedestrian protection; Crash Compatibility - role of collision partner in passive safety tests; Child safety; Euro NCAP - Child Restraint Systems, and German Field Operational Test on Car-to-Car and Car-to-Infrastructure Systems (SIM-TD). The research project AKTIV - "Adaptive and Cooperative Technologies for Intelligent Traffic" encompasses the design, development, and evaluation of novel driver assistance systems, knowledge and information technologies and is set up to find solutions for efficient traffic management and Car-to-Car and Car-to-Infrastructure communication for future cooperative vehicle applications. The European Statement of Principles on the Human Machine Interface (HMI), presented at the eSafety Conference, which was held in Berlin on 5/6 June 2007, addresses issues such as Real Time Traffic Information (RTTI), Legal issues of Advanced Driver Assistance Systems (ADAS) and e-security.
Topics of the status report are: Road accidents in Germany " Socio-economic costs due to road traffic accidents in Germany " Vehicle population and road performance " Electromobility " Alternative power train technologies: market penetration and consequences. The following research subjects are presented: Safety of electric vehicles " Driving dynamics of electric propelled vehicles " New requirements for the periodic technical inspection of electric and hybrid vehicles " Forward looking safety systems " Periodic roadworthiness tests " Cooperative systems: integration of existing systems " Safety related traffic information " Urban space: User oriented assistance systems and network management " Automated driving " Study on camera-monitor-systems " Freight transport " BioRID TEG, dummy harmonization " Frontal impact and compatibility " Child safety " FlexPLI " GIDAS: a blueprint for worldwide in-depth road accident investigations " Druid: Driving under the influence of drugs, alcohol and medicines " Smoke and toxicity in bus fires.
Topics of this report are: Road accidents in Germany - Socio-economic costs due to road traffic accidents - Vehicle population and road performance " Automotive IT " Electromobility. The following research subjects are presented: Safety of electric vehicles - Forward looking safety systems - Cooperative systems - Safety related traffic information - Freight transport: Action plan freight transport and trial with longer trucks - Lane departure warning systems and Advanced emergency braking systems (AEBS) for heavy duty vehicles - Dummy harmonization " Compatibility - Child safety - Virtual testing - Driving under the influence of drugs, alcohol and medicines - Fire safety of buses - Milled shoulder rumble strips - Conspicuity of powered-two-wheelers - Automatically dipped high beam and rear view mirrors.