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Automotive interiors have long been a potentially injurious impact area to occupants during accidents, especially in the absence of adequate padding. The U.S. Federal Motor Vehicle Safety Standard (FMVSS) 201, Occupant Protection in Interior Impact, outlines test procedures and performance criteria in order to mitigate potentially injurious head impacts to interior surfaces. FMVSS 201 specifies a finite set of impact locations and applies to passenger vehicles of a specified year range and with a gross vehicle weight rating less than 10,000 lb. In this paper, two head impact test methodologies are presented, a pendulum-test device and a Free Motion Headform (FMH) launching device, which allows for dynamic, repeatable impact evaluation of various vehicle interior surfaces and their impact attenuation abilities. The presented testing includes multiple series that evaluate the effect of differing vehicle upper interior padding on occupant head injury. One study in particular, analyzes a head impact to the side header of a heavy truck (not included in FMVSS 201) during a 90 degree rollover. Additionally, two other series of tests are presented which assess the injury reduction effect of side airbags to near side as well as far side occupants in a side impact scenario. Lastly, a forensic analysis is presented which evaluates two possible head impact locations experienced in a real world accident by analysis of the resulting interior compartment damage utilizing the FMH launching device test method. The data collected and presented includes accelerometer instrumentation and high speed video analysis. These studies demonstrate that adequate padding and airbags are very effective at mitigating head injury potential at impact speeds of 12-25 mph (19-40 kph).
Rollovers continue to be a major source of heavy truck fatalities when compared to other accident modes. Real world rollover accidents are analyzed and two distinct damage patterns are identified. Damage to heavy truck roofs can occur from lateral loading that transitions to vertical roof loading as the vehicle rolls onto its side and then over onto its roof. A second load path can occur when the vehicle has rolled onto its side and furrows into the ground generating large longitudinal friction forces between the roof and ground. A review of the previous literature and various test methodologies are presented. A sled impact test methodology is presented which allows for structural assessment of a heavy truck cab's crashworthiness in both of these loading environments. Two test series are presented using the sled impact test methodology in order to analyze real world truck rollovers using varying impact platen and contact angles. The structural deformation and failure patterns were found to be consistent with damage seen in real world accident vehicles. In each case, a second equivalent truck cab was then reinforced and tested under similar conditions to evaluate the energy management and crush resistance of a stronger cab structure. These structural reinforcements demonstrated a substantial reduction in roof crush and protected the survival space of the occupant compartment. The sled impact test procedure is an effective method for testing the structural performance of a heavy truck cab in a variety of loading scenarios comparable to real world accidents and ascertaining the load and energy load levels in these accident modes.
In India, heavy truck crashes on national highways account for a number of fatalities. But due to lack of in-depth crash data, detailed analysis is not possible to determine injury mechanisms, and to identify infrastructure, vehicle and human factors affecting these crashes. Over the past two years, researchers in India have established a crash investigation network, with the co-operation of the police and hospitals, to conduct crash investigations and in-depth crash data collection on national highways in the state of Tamil Nadu. This pioneering effort has resulted in the development of a heavy truck crash investigation methodology, the outcome of which is scientific and reliable crash data that has been able to provide good insight into truck crashes and their causes. This paper explains the need for truck crash investigations, the methodology, conclusions of the data analyzed up to date, and the need to focus on truck driver working conditions.
Road safety is a major preoccupation of the European Commission and the road transport industry and depends on numerous significant factors. In order to improve road safety and to plan effective safety improvement actions for truck transport, we must first identify the problems to be addressed, i.e. what are the main causes of truck accidents. The ETAC project, initiated by the European Commission and the IRU, was launched in order to set up a heavy goods vehicle accident causation study across European countries to identify future actions which could contribute to the improvement of road safety. The results will be based on a detailed analysis of truck accident data collected in seven European countries according to a common methodology which has been elaborated through numerous national and European projects. This paper describes the common methodology used to collect the information on the scene of the accident and to analyse the data so that the reconstruction of the crash events may be carried out. CEESAR proposes a methodology using its experience gained from over 10 years of accident data collection. This methodology is based on an in-depth investigation of the parameters involved in-an accident and linked to the driver, the vehicle, the road and their environment. In-depth investigation requires accident investigator presence on the scene of the accident in order to collect volatile information such as marks on the road, weather conditions, visibility, state and equipment of the vehicle, driver interview. Later, passive and active information is gathered, either at the hospital for the driver, at the garage for the vehicle or on the spot for the road geometry. A reconstruction carried out with the help of specific software and the analysis of the data collected and calculated enables the identification of the main causes of the accident and the future actions to plan in order to improve road safety as regards truck traffic.