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The Decision Support System (DSS) is one of the key objectives of the European co-funded research project SafetyCube in order to better support evidence-based policy making. Results will be assembled in the form of a DSS that will present for each suggested road safety measure: details of risk factor tackled, measure, best estimate of casualty reduction effectiveness, cost-benefit evaluation and analytic background. The development of the DSS presents a great potential to further support decision making at local, regional, national and international level, aiming to fill in the current gap of comparable measures effectiveness evaluation. In order to provide policy-makers and industry with comprehensive and well-structured information about measures, it is essential that a systems approach is used to ensure the links between risk factors and all relevant safety measures are made fully visible. The DSS is intended to become a major source of information for industry, policy-makers and the wider road safety community.
For the estimation of the benefit and effect of innovative Driver Assistance Systems (DAS) on the collision positions and by association on the accident severity, together with the economic benefit, it becomes necessary to simulate and evaluate a variety of virtual accidents with different start values (e.g. initial speed). Taken into account the effort necessary for a manual reconstruction, only an automated crash computation can be considered for this task. This paper explains the development of an automated crash computation based on GIDAS. The focus will be on the design of the virtual vehicle models, the method of the crash computation as well as exemplary applications of the automated crash computation. For the first time an automated crash computation of passenger car accidents has been realized. Using the automated crash computation different tasks within the field of vehicle safety can be elaborated. This includes, for example, the calculation of specific accident parameters (such as EES or delta-V) for various accident constellations and the estimation of the economic benefit of DAS using IRFs (Injury Risk Functions).
Although the number of road accident casualties in Europe (EU27) is falling the problem still remains substantial. In 2011 there were still over 30,000 road accident fatalities. Approximately half of these were car occupants and about 60 percent of these occurred in frontal impacts. The next stage to improve a car's safety performance in frontal impacts is to improve its compatibility. The objective of the FIMCAR FP7 EU-project was to develop an assessment approach suitable for regulatory application to control a car's frontal impact and compatibility crash performance and perform an associated cost benefit analysis for its implementation. This paper reports the cost benefit analyses performed to estimate the effect of the following potential changes to the frontal impact regulation: • Option 1 " No change and allow current measures to propagate throughout the vehicle fleet. • Option 2 " Add a full width test to the current offset Deformable Barrier (ODB) test. • Option 3 " Add a full width test and replace the current ODB test with a Progressive Deformable Barrier (PDB) test. For the analyses national data were used from Great Britain (STATS 19) and from Germany (German Federal Statistical Office). In addition in-depth real word crash data were used from CCIS (Great Britain) and GIDAS (Germany). To estimate the benefit a generalised linear model, an injury reduction model and a matched pairs modelling approach were applied. The benefits were estimated to be: for Option 1 "No change" about 2.0%; for Option 2 "FW test" ranging from 5 to 12% and for Option 3 "FW and PDB tests" 9 to 14% of car occupant killed and seriously injured casualties.
This work aims at bringing evidence for mass incompatibility in frontal impact for cars built according to the UNECE R94 regulation. French national injury accidents database census for years 2005 to 2008 were used for the analysis. The heterogeneity of frontal self-protection among cars of different masses is investigated, as well as the partner protection parameter offered by these cars. The last part of the analysis deals with the estimation of the benefit, in terms of fatal and severe injuries avoided, if crashworthiness was harmonized for the whole fleet of vehicle. This calculation is done for France and is extended to all Europe.
At the beginning of the year 2000 the European Commission set the goal to halve the number of road deaths till the year 2010. The main focus are passenger car and lorry traffic. A significant reduction of the accident data could be reached in these groups. The advancement of active vehicle safety systems is an important issue of the programme. The safety of the motorcycle traffic has been disregarded till now. Since 1991 the number of killed motorcycle riders per year has been constant. The number of killed passenger car occupants has been more than halved in the same period. This is why initiatives are caused for the increase of the motorcycle safety. A great safety potential is expected for the Antilock Brake System (ABS). ABS for motorcycles is considered from the economic view in this study. A cost-benefit analysis shall clarify whether the economic benefit of ABS for motorcycles is greater than the consumed resources. Moreover, a sensitivity analysis will determine the maximal justifiable consumption in resource for which ABS is worthwhile. After the sensitivity analysis is done a break-even analysis will determine the market price respectively the annual mileage from which on ABS is worthwhile on user level. For this the fair end consumer market price is calculated which the user is ready to pay. For the considered market prices the annual mileage is determined from which on ABS is worthwhile for the user. The considered time horizon for this analysis are the years 2015 and 2020. For each of these years the accident data is forecasted. At this, it is assumed that the frequency of having an accident per million registered motorcycles decreases based on the present trend. Thus, riding motorcycle gets safer. Hence, the accident data in the years 2015 and 2020 is lower than the accident data today. The cost-benefit analysis is done for each year for four scenarios. Two scenarios handle the market penetration. The first one is the trend scenario, the second one is the mandatory equipment from the year 2010 on. The other scenarios describe the effectiveness of ABS. The effectiveness rates are determined by a literature review. The only potential which can be considered due to the available data is the potential due to an avoiding of the downfall just before the real accident happens. According to this the number of accidents will decrease by 2.4 %. The number of fatalities will decrease by 12.1 %. The number of severe injuries decreases by 11.7 %. However, the number of slight injuries increases by 2.1 %. The mentioned effectiveness rates are valid for the scenarios with the high effectiveness. Even these figures underestimate the actual effectiveness because there are only considered the avoided accidents with downfall. The necessary consumption in resources depends on the produced volume. The more ABS systems are produced, the lower are the costs per system. This is due to realised effects of scale and effects out of learning curves. The system costs depend on the penetration rate. In the trend scenario the system costs for ABS are 120 Euro for the year 2015 respectively 105 Euro for the year 2020. In the mandatory scenario the system costs are 115 Euro for the year 2015 respectively 100 Euro for the year 2020. The benefit-cost ratios are all over the critical barrier of 1.0. Thus, ABS is worthwhile on economic level. In the scenarios with high effectiveness the benefit-cost ratios range between 4.6 and 4.9. Thus, the values are even above the barrier of 3.0. The result of the break-even analysis is that ABS is worthwhile on user level. The considered market prices are 400 Euro in 2015 and 300 Euro in 2020. They are clearly below the determined fair end consumer market prices. The fair end consumer price for the year 2015 is 701 Euro respectively 622 Euro for the year 2020. Thus, ABS is worthwhile for motorcycle riders with an annual mileage higher than 2,200 km (year 2015) respectively 1,900 km (year 2020). The annual mileage of a motorcycle rider is 3,900 km on average. Thus, ABS is worthwhile for most of the motorcycle riders. The mentioned results are valid for the high effectiveness scenarios.