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Airbags are, together with the three-point belt, the most effective passive safety equipment of vehicles. However, literature shows that sound pressure levels of up to 170 dB can occur during airbag deployment. A literature review revealed no systematic experimental data on possible hearing loss by airbag deployment, that also takes any other crash accompanied noise into account, such as deformation and impact noise. Also the rising number of airbags per vehicle resulting in a higher number of deployed airbags in an accident was not addressed with respect to hearing loss. Thus, an extensive test matrix of noise measurements during airbag deployments was conducted including onboard measuring during crashes and static measurements. Dynamic and static experiments with single and multiple airbag deployments were conducted. The results of this study show, that in the analyzed crash constellations the acoustic emission of the collision as well as the car deformation can trigger the stapedius reflex before the airbag deployment. The stapedius reflex protects the inner ear at least partially in case of dangerous sound levels. However, it seems that multiple airbag deployments in a short sequence pose a considerable risk for hearing impairments despite the fully contracted stapedius muscle. Further and in line with Price et al. (2013) it was found that the risk of hearing loss is lower with closed windows. The analysis of patient and accident data showed no link between airbag deployment and hearing loss. This might be caused by low case numbers of reported hearing loss problems up to now. In conclusion the results show that a singular analysis of the sound pressure of airbag deployments without crash accompanied noises is not sufficient as the protective effect of the stapedius reflex is neglected. Still, successive airbag deployments in a short timeframe raise the risk of hearing loss. Further investigation on hearing impairment due to airbag deployment and triggering of the stapedius reflex is needed and the data acquisition of accidents and patients should consider hearing loss aspects.
Bicyclists and pedestrians belong to the most endangered groups in urban traffic. The EU-funded collaborative research project PROSPECT (‘PROactive Safety for PEdestrians and CyclisTs´) aims to significantly improve safety of those unprotected traffic participants by expanding the scope of scenarios covered by future active safety systems in passenger cars. Concepts for sensor control systems are built into three prototypes covering emergency interventions such as Autonomous Emergency Braking (AEB) as well as Autonomous Emergency Steering (AES). These systems tackle the well-known challenges of currently available systems including limited field-of-view by sensors, fuzzy path prediction, unreliable intent reaction times and slow reaction times. These highly innovative functions call for extensive validation methodologies based on already established consumer testing procedures. Since these functions are developed towards the prevention of intersection accidents in urban areas, a key aspect of the advanced testing methodology is the valid approximation of naturalistic trajectories using driving robots. Eventually, several simulator studies complemented a user acceptance and benefit analysis to evaluate the expected overall impact of the PROSPECT systems. The results achieved within the PROSPECT project are highly relevant for upcoming test protocols regarding the most critical situations with Vulnerable Road Users (VRU). With introducing the new methods in Euro NCAP (European New Car Assessment Programme) a significant increase in road safety is expected.
Effects of time pressure on left-turn decisions of elderly drivers in a fixed-base driving simulator
(2019)
In countries with right lane traffic left-turn maneuvers at intersections are known to be particularly critical for elderly drivers. It has been suggested that the implementation and use of Advanced Driver Assistance Systems (ADAS) might offer a solution to compensate for age-related weaknesses in driving-related skills. In the present paper an experiment is reported which explored the effects of time pressure on the performance of left-turn manoeuvers supported by an ADAS function (time gap assistant). The study was performed in a fixed-base driving simulator with 20 younger (22-37) and 21 elderly drivers (60-84) who were observed when negotiating left-turn manoeuvers on rural roads with and without the assistance function active. Subjects performed the task once under conditions of time pressure once without. Results indicate that both age groups used the assistance function to perform the left-turn manoeuvers with shorter time gaps. Under conditions of time pressure this effect was more pronounced, and the effects of time pressure were stronger for the elderly. However, there were only weak indications for a specific benefit of the assistance function for the elderly.
APT with the mobile load simulator MLS10 towards non-destructive pavement structural analysis
(2019)
In 2014 a research program has been started about non-destructive test methods to evaluate the structure of pavements. This task has been given to two research groups - first research group is led by RWTH Aachen University (Rheinisch-Westfälische Technische Hochschule) and the second by University of Siegen. This paper focuses on the initial findings of the running research program. The assessment of the existing infrastructure and its condition will be one of the main tasks during the next years in order to use the available budget for maintenance accurately and efficiently. Therefore, it is necessary to identify possible damages and examine their effects on the road construction. BASt (Federal Highway Research Institute) is using the Mobile Load Simulator MLS10 for accelerated pavement testing (APT) on different types of pavements. In addition to non-destructive test methods, sensors are applied to measure structural impacts. The overall objective of this research program is to develop a non-destructive test method that allows the calculation of the remaining life time and load cycles of pavements. To simulate realistic wheel loads in a short period of time the MLS10 on German full scale standard pavement constructions has been used. The first pavement test section was loaded with 3 x 10 high 6 50 kN wheel loads while the second, thinner pavement test section was loaded with 3 x 10 high 5 50 kN wheel loads. Both loads are equivalent to the pavement design load. Three different strategies have been used to analyze and monitor structural changes. The innovative measurements have been realized by the two research groups to collect data for their models. The RWTH Aachen collected data with twelve geophones aligned in a row parallel to the wheel path. The geophones measure the entire vertical deflection basin of the pavement surface that exists due to the passing real truck wheels. These measurements were done for different truck speeds and at different transverse distances to the wheel path. The University of Siegen collected data by using acceleration sensors on the surface of the road construction. After recording the data they were integrated into displacement signals and evaluated. Additionally to those measurements BASt used conventional equipment to monitor the pavement structure and surface characteristics. The measurements and evaluation tools used for the innovation program have a high potential to validate APT programs in the future. Based on this research it is possible to start further research activities to push the non-destructive evaluation of pavements structures - not only in APT - into an improved direction.
Test and assessment procedures for passive pedestrian protection of passenger cars are in place for many years within world-wide regulations as well as consumer test programmes. Nevertheless, recent accident investigations show a stagnation of pedestrian fatality numbers on European roads alongside increasing injury severities for older road users. The EU-funded SENIORS (Safety ENhancing Innovations for Older Road userS) project developed and evaluated a thorax injury prediction tool (TIPT) for later incorporation within test and assessment procedures. Accident data indicates an increasing portion of AIS2 and AIS3+ thoracic injuries of older pedestrians and cyclists which are currently not assessed in any test procedure for vulnerable road users. Therefore, SENIORS focused on the development of a test tool predicting the risk of rib fractures of vulnerable road users (VRU). While injury risk functions were reanalyzed, human body model (HBM) simulations against categorized generic vehicle frontends served as input for the definition of test setups and corresponding impact parameters. TIPT component tests against a generic frontend and an actual vehicle were used for the evaluation of the technical feasibility. The TIPT component tests shows the general feasibility of a test procedure for the assessment of thoracic injuries, with good repeatability and reproducibility of kinematics and results. Impact parameters such as the inclination angles of the thorax, angles of the velocity vector and impact speeds well replicate the parameters gained from the HBM simulations. The proposed markup and assessment scheme offers the possibility of a homogeneous evaluation of the protection potential of vehicle frontends while maintaining justifiable testing efforts. During evaluation testing, the proposed requirements were entirely met. The developed prototype of TIPT and launching system offer impact angles and speeds as suggested by HBM simulations. However, since thorax impacts during pedestrian accidents do not occur perpendicularly to the vehicle surface in most cases, the TIPT built-in linear potentiometers do not acquire the true resultant intrusions on the ribcage and thus, TIPT rib deflections do not reflect the actual human injury risk. However; for the impact forward to the bonnet leading edge, the TIPT seems applicable without further modifications. The test and assessment procedures using the TIPT offer for the first time the possibility of replicating the kinematics of a pedestrian thorax with a component test. The developed assessment scheme gives a first indication on how the risk for thoracic injuries could be implemented within the Euro NCAP Box 3 assessment. Future development of the TIPT may focus on implementing a rib cage that can deflect in all axes in a humanlike way.
The aging structure as well as the considerable increase of heavy-traffic load on Germany's motorways and trunk roads encourages the use of innovative, sound and reliable methods for the structural assessment on network level as well as on project level. Essential elements for this are data, which allow a reliable assessment. For a holistic approach to structural pavement assessment performance orientated measurements will be necessary. In combination with functional parameters as well as write-down models, strategically motivated decision making processes will be useful combined with technically motivated decision processes. For the application at the network level, the available methods for performance orientated measurements are still challenging, as they are based either on testing drill-cores or on non traffic speed methods. In recent years significant innovation steps have been made to bring traffic speed bearing capacity measurements and methods for evaluating pavement structures on the road. The paper summarizes the actual assessment procedures in Germany as well as the ongoing work on the development and implementation of new methods and techniques.
Thorax injury is one of main causes of serious injury in frontal collisions, especially for elderly car occupants. The anthropometric test device (ATD) THOR‐M provides chest deflection measurements at multiple locations, to assess the risk of thorax injury. For this purpose e, risk functions are needed that relate the potential criteria based on multipoint chest deflection measurement to in jury risk. Different thorax injury criteria and risk functions for THOR have been proposed [2‐3]. The criteria and functions are based on the traditional approach to developing injury risk functions using matched ATD and PMHS tests by relating the injury (number of fractures) to injury criteria. Regarding these studies, some limitations have been identified, in particular concerning the loading conditions of the data used (mainly 3‐point‐belt loading, high loading severity, out‐of‐date ATD versions. To extend the data set and overcome these limitations, a new approach for improved thorax injury criteria was applied within the EC‐funded project SENIORS. The new approach is based on matched frontal impact sled computer simulations with a model representing the latest THOR‐M ATD version, and matching simulations with a human body model (HBM) representing an elderly car occupant.
Urban runoff is known to transport a significant pollutant load consisting of e.g. heavy metals, salts and hydrocarbons. Interactions between solid and dissolved compounds, proper understanding of particle size distribution, dissolved pollutant fractions and seasonal variations is crucial for the selection and development of appropriate road runoff treatment devices. Road runoff at an arterial road in Augsburg, Germany, has been studied for 3.5 years. A strong seasonal variation was observed, with increased heavy metal concentrations with doubled and tripled median concentrations for heavy metals during the cold season. Correlation analysis showed that de-icing salt is not the only factor responsible for increased pollutant concentrations in winter. During the cold period, the fraction of dissolved metals was lower compared to the warm season. In road dust, the highest metal concentrations were measured for fine particles. Metals in road runoff were found to show a significant correlation to fine particles SS63 (<63 μm). Therefore, it is debatable whether treatment devices only implementing sedimentation processes provide sufficient removal rates.
Measuring and characterizing airborne particulate matter (PM) is an important research area because PM can lead to impacts on health and to visibility reduction, material damage and groundwater pollution. In regard to road dust, suspension and re-suspension and the contribution of non-exhaust PM to total traffic emissions are expected to increase as a result of predicted climate scenarios. European environmental regulations have been enforced to reduce exhaust particle emissions from road traffic, but little attention has been paid to reducing non-exhaust coarse particle emissions due to traffic. Therefore, a monitoring program for coarse PM has been initiated in early 2013 to assess the predicted increase in the abundance of non-exhaust particles. Particle sampling was performed with the passive-sampler technique Sigma-2. The subsequent single-particle analysis allows for characterization of individual particles, determination of PM size distribution, and calculation of PM mass concentrations. Two motorways n ear Cologne (Koeln), Germany were selected as sampling sites, and the experimental setup in the field was realized with a so-called twin-site method. The present study reports single-particle analysis data for samples collected between May 31, 2013 and May 30, 2014. Coarse PM, generated through multi-source mechanisms, consists of, e.g., tire-wear, soot aggregates, and mineral dust. The highest mass concentration occurs at both motorways in spring, and the observed PM mainly contains traffic-abrasion particles. The field measurements show that the minimum PM concentration was found in the 5 to 12-°C temperature range, whereas the maximum concentration was observed in both the "5 to 5-°C and the 12 to 24-°C ranges, in agreement with previous laboratory measurements. Correlation between super-coarse (d p 10"80 μm, geometric equivalent diameter) PM concentration and precipitation displays a significant increase in concentration with decreasing number of precipitation events (dry weather periods).
Chronic non-cancer pain (CNCP) is a major health problem. Patients are increasingly treated with chronic opioid therapy (COT). Several laboratory studies have demonstrated that long-term use of opioids does not generally impair driving related skills. But there is still a lack of studies investigating on-the-road driving performance in actual traffic. The present study assessed the impact of COT on road-tracking and car-following performance in CNCP patients. Twenty CNCP patients, long-term treated with stable doses of opioid analgesics, and 19 healthy controls conducted standardized on-the-road driving tests in normal traffic. Performance of controls with a blood alcohol concentration (BAC) of 0.5 g/L was used as a reference to define clinically relevant changes in driving performance. Standard Deviation of Lateral Position (SDLP), a measure of road-tracking control, was 2.57 cm greater in CNCP patients than in sober controls. This difference failed to reach statistical significance in a superiority test. Equivalence testing indicated that the 95% CI around the mean SDLP change was equivalent to the SDLP change seen in controls with a BAC of 0.5 g/L and did not include zero. When corrected for age differences between groups the 95% CI widened to include both the alcohol reference criterion and zero. No difference was found in car-following performance. Driving performance of CNCP patients did not significantly differ from that of controls due to large inter-individual variations. Hence in clinical practice determination of fitness to drive of CNCP patients who receive opioid treatments should be based on an individual assessment.