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In 2016 the seventh ESAR conference (Expert Symposium on Accident Research) was held in Hannover. ESAR is an international convention of experts, who analyze traffic accidents all over the world and discuss their results in this context, conducted at the Medizinische Hochschule Hannover every 2 years. It connected representatives of public authorities, engineers in automotive development and scientists and offers a forum with particular emphasis on In-Depth-Analyses of accident statistics and accident analyses. Special focus is placed on research on the basis of so-called "In-Depth-Accident-Investigations" [data collections at the sites of the accidents], which are characterized by extensive documentations of the sites of the accidents, of the vehicles as well as of the injuries, encompassing several scientific fields. ESAR aims at a multi-disciplinary compilation of scientific results and at discussing them on an international, scientific level. It is thus a scientific colloquium and a platform for exchanging information for all accident researchers. Experiences in accident prevention as well as in the complex field of accident reconstruction are stated and new research fields are added. Existing results of long-term research work in Europe, the US, Australia and Japan include different infrastructural correlations and give findings on population, vehicle population and driver characteristics, which offer a basis for recommendations to be derived and measures for increasing road safety.
The proportion of older road users is increasing because of demographic change (in the group 65+ from current 18% to about 24% by 2030). The mobility needs of people 65+ often differ from those of younger people. Seniors (65+) are already more involved in fatal accidents than younger road users. According to the age development, the senior share of road deaths in the EU of today is increasing nearly one-fifth to one-third. From the in-depth analysis of accidents generic simulation models were developed. Attention has been paid both to psycho-physical characteristics as well as on the social and physical environment and their specifics in conjunction with seniors. By simulating the defined scenarios and varying the defined relevant parameters, accident influencing factors were examined as a basis for avoidance. In addition, the parameters were varied to show the influence from the vehicle, the pedestrian and the infrastructure to avoid the accident or to characterize the conditions for which the accident is inevitable.
Causation of traffic accidents with children from the perspective of all involved participants
(2017)
In the year 2014 about 2,800 children between zero and 14 years got injured due to traffic accidents in Austria. More than 50% were taking part in traffic as active road users like cyclists or pedestrians. Within this study 46 real world traffic accidents between vehicles and children as pedestrians were analysed. In 39 cases, car drivers hit the crossing children. In the other cases, the collision opponents were busses, trucks or motorcycles. Most of the children got hit while crossing a road at urban sites. By analysing the traffic accidents from the perspectives of all involved participants, vehicle drivers and injured children, it is possible to identify factors for each participant, which led to the accident and factors that contributed the accident. The main task is to find patterns in the behaviour of crash victims (children and driver) before the collision. One important fact is that in more than 50% of the analysed cases sight obstructions were an important contributing factor for both, the driver and the child. From drivers view situations in which the child moved unexpected into the driven road lane were often found. For the injured child, factors like: no attention to the road traffic or no sufficient traffic observation were found to be relevant. Further it- possible to sensitise children and adults to possible source of critical traffic situations according to the findings of this study.
Injury probability functions for pedestrians and bicyclists based on real-world accident data
(2017)
The paper is focusing on the modelling of injury severity probabilities, often called as Injury Risk Functions (IRF). These are mathematical functions describing the probability for a defined population and for possible explanatory factors (variables) to sustain a certain injury severity. Injury risk functions are becoming more and more important as basis for the assessment of automotive safety systems. They contribute to the understanding of injury mechanisms, (prospective) evaluation of safety systems and definition of protection criteria or are used within regulation and/or consumer ratings. In all cases, knowledge about the correlation between mechanical behavior and injury severity is needed. IRFs are often based on biomechanical data. This paper is focusing on the derivation of injury probability models from real world accident data of the GIDAS database (German In-depth Accident Study). In contrast to most academic terms there is no explicit term definition or definition of creation processes existing for injury probability models based on empirical data. Different approaches are existing for such kind of models in the field of accident research. There is a need for harmonization in terms of the used methods and data as well as the handling with the existing challenges. These are preparation of the dataset, model assumptions, censored/unknown data, evaluation of model accuracy, definition of dependent and independent variable, and others. In the presented study, several empirical, statistical and phenomenological approaches were analyzed regarding their advantages and disadvantages and also their applicability. Furthermore, the identification of appropriate prediction parameters for the injury severity of pedestrians has been considered. Due to its main effect on injuries of pedestrians and bicyclists, the importance of the secondary impact has also been analyzed. Finally, the model accuracy, evaluated by several criteria, is the rating factor that gives the quality and reliability for application of the resulting models. After the investigation and evaluation of statistical approaches one method was chosen and appropriate prediction variables were examined. Finally, all findings were summarized and injury risk functions for pedestrians in real world accidents were created. Additionally, the paper gives instructions for the interpretation and usage of such functions. The presented results include IRFs for several injury severity levels and age groups. The presented models are based on a high amount of real world accidents and describe very well the injury severity probability of pedestrians and bicyclists in frontal collisions with current vehicles. The functions can serve as basis for the evaluation of effectiveness of systems like Pedestrian-AEB or Bicycle-AEB.
In 2014 the sixth ESAR conference (Expert Symposium on Accident Research) was held in Hannover. ESAR is an international convention of experts, who analyze traffic accidents all over the world and discuss their results in this context, conducted at the Medizinische Hochschule Hannover every 2 years. It connected representatives of public authorities, engineers in automotive development and scientists and offers a forum with particular emphasis on In-Depth-Analyses of accident statistics and accident analyses. Special focus is placed on research on the basis of so-called "In-Depth-Accident-Investigations" [data collections at the sites of the accidents], which are characterized by extensive documentations of the sites of the accidents, of the vehicles as well as of the injuries, encompassing several scientific fields. ESAR aims at a multi-disciplinary compilation of scientific results and at discussing them on an international, scientific level. It is thus a scientific colloquium and a platform for exchanging information for all accident researchers. Experiences in accident prevention as well as in the complex field of accident reconstruction are stated and new research fields are added. Existing results of long-term research work in Europe, the US, Australia and Japan include different infrastructural correlations and give findings on population, vehicle population and driver characteristics, which offer a basis for recommendations to be derived and measures for increasing road safety.
Mobility plays an important role in the Federal Republic of Germany. Motorised private transport and, consequently, passenger vehicles are the crucial factor. Vehicles should be environmentally and socially compatible yet also economically efficient at the same time. The crucial factor for pollution of the environment from road traffic is the exhaust emissions of the vehicles on the road. This is why, with the Directive 98/69/EC and the related introduction of exhaust emission standard Euro 3, the testing of the conformity of passenger and light commercial vehicles (in-service conformity check) was introduced. Vehicles already on the roads are to be examined again under type examination conditions (Type I Test) after a statistical selection process. In this way it is to be ensured that the systems and components relevant for the exhaust emissions of a vehicle will also function after several thousand kilometres. This is why the vehicles are checked again during in-service conformity check with respect to their limited pollution components. Due to the ever greater significance of CO2 emissions, both the CO2 emissions and the fuel consumption were included in this research project. For the success of such a project the choice of vehicle is of critical importance. Since this is the only way it is possible to also obtain a representative result. Therefore, in addition to the selection criteria required by law, statistical and technical criteria are also considered. The vehicle owners were selected on a random basis. All test vehicles were checked with respect to their pollutant components in the emissions laboratory in accordance with their standard. By law the same testing conditions apply in an in-service conformity check as in the relevant type approval. In this research project a total of 17 vehicle types were examined. Six types were equipped with positive-ignition engines and 11 types with compression ignition engines. Both groups were to each include vehicles of the limits Euro 4 and Euro 5. For vehicle types with positive-ignition engines, there was one type with the exhaust emission standard Euro 5. All others satisfied the exhaust emission standard Euro 4. For the vehicle types with compression ignition engines, 4 types satisfied exhaust emission standard Euro 5 and 7 types fulfilled exhaust emission standard Euro 4. Among the vehicle types with compression ignition and exhaust emission standard Euro4, there were 4 types of category M1 and 3 types of category N1 of class III. The aim of the research project is to examine the exhaust emissions in-service conformity of passenger and light commercial vehicles in operation to draw conclusions concerning the durability of engine components and systems for exhaust emission treatment. Overall in this in-service conformity testing programme, we were able, in accordance with the statistical procedure, to assess all 17 of the vehicle types tested as "positive". With the exception of one vehicle type, it was possible to conclude the random test for all vehicle types tested with the minimum random sample. This means that all 3 vehicles of one type in as-delivered condition complied with or fell below the respective limits for pollutant emissions according to the criteria of the statistical procedure. In the case of one vehicle type, where the random sample had to be enlarged, it was necessary to examine a total of 8 vehicles. Furthermore, with all vehicle types the CO2-emissions and fuel consumption (Type I Test) were determined to subsequently compare the measured CO2 emissions with those of the manufacturers. Of the 17 vehicle types examined, eleven vehicle types complied with the relevant manufacturers" values or fell below them. With six vehicle types, the CO2 emissions were more than the permissible 4% above the manufacturer- value during the Type I Test.
High demands on exhaust emissions of passenger cars and light commercial vehicles require complex technologies. The three-way catalytic converter is an essential part of state of the art emission control systems. If a catalytic converter is damaged or its effectiveness deteriorates, it can be replaced by a replacement converter. Replacement catalytic converters from the aftermarket are approved on the basis of Regulation No 103 of the UNECE - United Nations Economic Commission for Europe. According to this regulation the replacement catalytic converter shall be designed, constructed and capable of being mounted so as to enable the vehicle to comply with the provisions taken as a basis for its type approval. Furthermore the pollution emissions must be effectively limited throughout the entire normal service life of the vehicle under normal operating conditions. In the context of the research project, the durability of replacement catalytic converters was examined. A VW Golf with emission standard Euro 4, 1.4 l petrol engine (55 kW) was selected as a test vehicle. At the start of the examinations, the vehicle showed a mileage of 75,000 km. The selected vehicle was regularly serviced in accordance with the manufacturer's specifications. No emission-relevant faults were recorded by the OBD system. The initial control measurement of the vehicle in as-delivered condition with the originally installed catalytic converter showed that the corresponding emissions of the regulated pollutants were considerably below the Euro 4 emission limits to be applied. Subsequently, an original replacement catalytic converter, which was purchased from an authorised dealer, and 4 catalytic converters purchased in the independent aftermarket, were examined. The replacement catalytic converters were conditioned according to the specifications of ECE Regulation No 103 and then measured in new condition. The catalytic converters were then aged on a burner test rig. Here a total mileage of 80,000 km was simulated. After 10,000 km and 40,000 km, the ageing was interrupted and the exhaust gas emissions of the test vehicle with the aged catalytic converters were measured. The examination was ended as soon as a limit value had been exceeded. The results of the project indicate that with the replacement systems for the after-treatment of exhaust gases available in the independent aftermarket, considerable quality differences can occur. At the end of the ageing over a distance of 80,000 km only the original replacement catalytic converter and one replacement catalytic converter from the independent aftermarket complied with the Euro 4 emission limits. With one replacement catalytic converter, the Euro 4 emission limits were already exceeded in new condition. With another replacement catalytic converter, the examination was aborted after 10,000 km ageing and with a further catalytic converter after 40,000 km ageing due to the Euro 4 emission limits being exceeded. The ECE Regulation No 103 provides for a test of durability of such systems over 80,000 km, but also alternatively enables the use of fixed deterioration factors. In practice, the durability of the replacement systems for the after-treatment of exhaust gases is guaranteed by their manufacturers. However, replacement catalytic converters are rarely inspected as part of the approval. In-use compliance provisions for replacement systems for the after-treatment of exhaust gases are not mentioned in the corresponding specifications. The results of this study indicate that the requirements in the ECE Regulation No 103 are not adequate to ensure the durability of replacement catalytic converters.
Road accidents are typically analyzed to address influences of human, vehicle, and environmental (primarily infrastructure) factors. A new methodology, based on a "Venn diagram" analysis, gives a broader perspective on the probable factors, and combinations of factors, contributing both to the occurrence of a crash and to sustaining injuries in that crash. The methodology was applied to 214 accidents on the Mumbai-Pune expressway. Factors contributing to accidents and injuries were addressed. The major human factors influencing accidents on this roadway were speeding (30%) and falling asleep (29%), while injuries were primarily due to lack of seat belt use (46%). The leading infrastructure factor for injuries was impact with a roadside manmade structure (28%), and the main vehicle factor for injuries was passenger compartment intrusion (73%). This methodology can help identify effective vehicle and infrastructure-related solutions for preventing accidents and mitigating injuries in India.
India is one of the leading countries reporting highest road accidents & related injuries. TMARG (Tata Motors Accident Research Group) has been recording crashes in association with M/s. Lokamanya Medical Foundation since 2011 with M/s, Amandeep Hospitals since Aug 2013. This study has highlighted some accident types not discussed extensively in literature. Trucks to Truck impacts " Cabin interaction with overhanging loadbody structures and Offset underside impacts for passenger vehicles are seen in significant numbers. The paper discusses these in more detail including severity.
Pedestrians represent about 20% of the overall fatalities in Europe- road traffic accidents. In this paper a methodology is proposed to understand why the numbers are so high, especially in the south of Europe and particularly in Portugal, . First a detailed statistical analysis using Ordinal Logistic Regression model (OLR) was applied to the gathered data from all Portuguese accidents with victims in the period 2010-2012. In a second stage accident reconstruction computational techniques using pedestrian biomechanical models are used to evaluate the accident conditions that lead to the injuries, such as the speed and the impact location. For biomechanical injury criterions, the AIS (Abbreviated Injury Scale), the HIC (Head Injury Criterion) and other injury criterions based on the resulting accelerations in the pedestrian's body are used. The statistical model reported that there were several predictors that significantly influenced the pedestrian injury severity in the event of a road accident, such as Pedestrian's age, Pedestrian's gender, Vehicle Design/Category or Driver's gender. The use of injury scales and biomechanical criterions in in-depth investigation of road accidents, such as AIS, can significantly improve the quality of the reconstruction process.