Filtern
Erscheinungsjahr
- 2009 (51) (entfernen)
Dokumenttyp
- Konferenzveröffentlichung (51) (entfernen)
Sprache
- Englisch (51) (entfernen)
Schlagworte
- Conference (43)
- Konferenz (43)
- Unfall (26)
- Accident (24)
- Statistics (15)
- Statistik (15)
- Datenbank (14)
- Analyse (math) (13)
- Data acquisition (13)
- Datenerfassung (13)
Institut
- Sonstige (47)
- Abteilung Fahrzeugtechnik (10)
- Abteilung Straßenverkehrstechnik (1)
- Präsident (1)
Who doesn't wear seat belts?
(2009)
Using real world accident data, seat belts were estimated to be 61% effective at preventing fatalities, and 32% effective at preventing serious injuries. They were most effective for drivers with an airbag. Seat belts were estimated as having prevented 57,000 fatalities and 213,000 seriously injured casualties in the UK since 1983. Seat belt legislation was estimated to have prevented 31,000 fatalities and 118,000 seriously injured casualties. A future increase in effective seat belt wearing rate (which takes into account seating position) in the UK from 92.5% to 93% may prevent casualties valued at a societal cost of over -£18 million per year. To target a seat belt campaign, the question "who doesn"t wear seat belts?" must be answered. Seat belt wearing rates and the number of unbelted casualties were analysed. It was primarily young adult males who didn"t wear seat belts, and they made up the majority of unbelted fatalities and seriously injured casualties.
This paper describes the methodology for the assessment of the socio-economic impact of SAFESPOT applications. The applications selected for the assessment cover vehicle to vehicle (v2v) as well as vehicle to infrastructure (v2i) communication systems. The applications address main problem areas of road safety: accidents at intersections, accidents due to hazardous road and weather conditions and accidents due to over speeding and inappropriate distance. The assessment methodology relies in its core on cost-benefit analysis (CBA) as the most widespread tool to assess the profitability of applications form the society point of view. The assessment is however not limited to CBA but also considers the economic effects for particular stakeholder groups such as users, public authorities and the like. Their individual cost and benefits can be investigated in stakeholder analyses. Both elements, CBA and stakeholder analysis, form an integrated assessment approach which is applied here. The assessment makes use of the sound methodological base which was provided by projects such as SEiSS and eIMPACT. Some characteristics of co-operative systems however call for special attention within the assessment. Most prominently, the assessment will concentrate on a bundle of applications. The impact of this bundle will be assessed under the conditions of different business and service models. These issues will be addressed in the paper. Moreover, this paper also provides insight in likely patterns of results and first results of socio-economic impact assessment itself.
Impact severity is a fundamental measure for all in-depth crash investigation projects. One methodology used in the UK is based on the US Calspan software package CRASH3. The UK- in-depth crash investigation studies routinely use AiDamage3 a software package which is based on an updated version of the original CRASH3 algorithm, including enhancements to the vehicle stiffness coefficients. Real world accident-damaged vehicles are measured and their crush is correlated with a library of stiffness coefficients. These measurements are then used, along with other parameters, to calculate the crash energy and equivalent changes of velocity of the vehicles (delta-v), which is a measure of the impact severity. UK in-depth accident studies routinely validate the crash severity methodologies applied as the vehicle fleet changes. This is achieved by analysing crash test data and using the appropriate residual crush damage and other inputs to AiDamage3 and checking the program- outputs with the known crash severity parameters. This procedure checks, at least in part, the default stiffness values in the data libraries and the reconstruction methods used.
The aim of this study was to evaluate the performance and accuracy of Event Data Recorders (EDRs). The analysis was based on J-NCAP crash tests from 2006"2007, with the corresponding EDR datasets. The pre-crash velocity, maximum delta-V and delta-V versus time history data recorded in the EDRs were compared with the reliable crash test data. The difference between the EDR pre-crash velocity and the laboratory test speed was less than 4 percent. In contrast, in several cases the maximum delta-V and delta-V versus time history data obtained from the EDRs showed uncertainty of measurement in comparisons with the reliable delta-V data. The difference in maximum delta-V in these comparisons was more than 5 percent in 10 of 14 tests and more than 10 percent in 4 of 14 tests. The EDRs underestimated the maximum delta-V in almost all tests. It was also concluded that the calculated acceleration from the EDR delta-V versus time history data showed good agreement with the instrumented accelerometer signal during the collision in almost all tests.
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.
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.
This study aims to analyze spine injuries in motor vehicle accidents. Between 1985 and 2004 the Hannover accident research unit documented 18353 accidents. We identified 161 front passengers (0.53%) with cervical spine injuries, 84 (0.28%) with thoracic and 95 (0.31%) with lumbar injuries. Technical and medical data was reviewed. Patients" records were retrieved. X-rays were evaluated and fractures were classified according to the Magerl classification. 68% and 57% of thoracic and lumbar fractures occurred in accidents with multiple impacts. Delta-v was 50, 40 and 40 kph in passengers with cervical, thoracic and lumbar spine, resp. Passengers with spinal fractures frequently showed numerous concomitant injuries, e.g. additional vertebral fractures. The influence of seat belts and airbags is discussed. Patient work-up has to include a thorough investigation for additional injuries.
In a first step, we have examined approximately 23 000 single vehicle accidents within the Austrian National Statistics database. In a second step, we considered 15% of all fatal "running off the road" accidents that occurred in Austria in 2003. As a result, two accident categories were specified; "leaving the road without preceding manoeuvre" and "leaving the road with preceding manoeuvre". These two categories can be basically characterised by the vehicle- heading angle and its velocity angle. In this report, we further suggest theoretical approaches for the dimensioning of a safety zone, an area adjacent to the road free of fixed objects or dangerous slopes. We also show the link between the two accident categories mentioned above and the real world accidents analysed in detail. These observations also form the basis for the required length for safety devices. Finally, we summarise accident avoidance strategies.
The focus of the technical innovation in the automobile industry is currently changing to sensor based safety systems, which are operating in the pre-crash phase of an accident. To get more information about this pre-crash phase for real accidents a simulation of this phase using the GIDAS database is done. The basics for this simulation are geometrical information about the accident location and the exact accident data out of the GIDAS database. This aggregated information gives the possibility to simulate an exact motion for every accident participant, using MATLAB / SIMULINK, in the pre-crash phase. After the simulation the information about the geometrical positions, the velocities and maneuvers of the drivers to an individual TTC (time to collision) are available. With those results it is possible to develop new useful sensor geometries using pre-crash scatter plots or estimate the efficiency of implemented active safety systems in combination with sensor characteristics. This simulation can be done for every reconstructed accident included in the GIDAS database, so these results can represent a wide spread basis for the further development of active safety systems and sensor geometries and characteristics
In Germany averagely two million traffic accidents happen each year and emergency medical services are called to more than 400 000 patients. Even though this number is decreasing continuously (due to improvements in the fields of vehicle safety, road construction, and accident prevention) every case is yet a challenge for the rescuers and requires improvements in emergency medicine as well. Especially during diagnostics right at the accident scene, there are only limited instruments available to gain the necessary knowledge of the injuries suffered, to come to essential decisions about treatment or transport. To provide an additional diagnostic aid by scouting and estimating the situation, a software-tool calculating the likeliness of the most frequent severe injuries (AIS 3-6) of front occupants in passenger cars has been developed to deliver this necessary information about particular accident scenarios. To achieve this, logistic likelihood functions have been calculated in a multivariate regression analysis analysing all AIS 3+ injuries in the GIDAS database of the years 1999-2006 that happened more than four times