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This paper presents the test track scenario design and analysis used to estimate the performances of heavy vehicles equipped with forward collision warning and automatic emergency braking systems in rear-end crash scenarios. The first part of this design and analysis study was to develop parameters for brake inputs in test track scenarios simulating a driver that has insufficiently applied the brakes to avoid a rear-end collision. In the second part of this study, the deceleration limits imposed by heavy vehicles mechanics and brake systems are used to estimate automatic emergency braking performance benefits with respect to minimum stopping distance requirements set by Federal Motor Vehicle Safety Standards. The results of this study were used to complete the test track procedures and show that all heavy vehicles meeting regulatory stopping distance requirements have the braking capacity to demonstrate rear-end crash avoidance improvements in the developed tests.

The rapid innovation underway with vehicle brake safety systems leads to extensive evaluation and testing by system developers and regulatory agencies. The ability to evaluate complex heavy truck braking systems is potentially more rapid and economical through hardware-in-the-loop (HiL) simulation which employs the actual electronics and vehicle hardware. Though the initial HiL system development is time consuming and expensive, tests conducted on the completed system do not require track time, fuel, vehicle maintenance, or technician labor for driving or truck configuration changes. Truck and trailer configuration and loading as well as test scenarios can be rapidly adjusted within the vehicle dynamics simulation software to evaluate the performance of automated safety interventions (such as ESC) over a wide range of conditions.

Objectives. Examination of head injuries in the Pedestrian Crash Data Study (PCDS) indicates that many pedestrian head injuries are induced by a combination of head translation and rotation. The Simulated Injury Monitor (SIMon) is a computer algorithm that calculates both translational and rotational motion parameters relatable head injury. The objective of this study is to examine how effectively HIC and three SIMon correlates predict the presence of either their associated head injury or any serious head injury in pedestrian collisions. Methods. Ten reconstructions of actual pedestrian crashes documented by the PCDS were conducted using a combination of MADYMO simulations and experimental headform impacts. Linear accelerations of the head corresponding to a nine-accelerometer array were calculated within the MADYMO model's head simulation.

Lab-to-lab differences have become a very important consideration in the verification testing of Hybrid III 5th Female necks in user labs. It has been observed that a neck certified by one laboratory does not always pass the same certification test in a different lab. This has led the Anthropomorphic test device Certification Research group (ACR) to investigate the precision of the test procedure in relation to the test specification corridors. This study adapts an industry recognized ASTM procedure to measure the precision of the SAE neck calibration laboratory test procedure in Engineering Aid 25 [1]. The ASTM procedure is ASTM E 691-99 “Standard Practice for Conducting an Interlaboratory Study to Determine the Precision of a Test Method” [2]. This paper details how the ASTM procedure was adapted and presents the results of the ASTM E 691 statistical analysis procedures.

This study by the Anthropomorphic test device Certification Research group (ACR) takes a new look at dummy neck rotation measurement methods. The authors' previous SAE Congress paper, Watters et al., 2005, focused on comparing three different rotary pot measurement systems in the same Hybrid III 5th Female neck flexion test at a single laboratory [1]. Differences between the pot systems, and between the pot systems and video analysis of the head rotation, were found to be a significant component of the observed test variation. The 2005 rotary potentiometer study used a modified head known as the Nine Accelerometer Array Head (NAAH). The NAAH data for rotation about the Y-axis, only recently analyzed, showed exceptional agreement with the video analysis as compared to the rotary potentiometer data.

Lab-to-lab differences are an important consideration in the verification testing of Hybrid III dummy necks in user labs. The authors, the Anthropomorphic test device Certification Research group (ACR), conducted and presented two previous studies investigating lab to lab differences in Hybrid III 5th female dummy neck certification results [1, 2]. The results of both studies underscored the need to have better controls on the test procedure. The complex procedure for dummy neck certification has many setup factors that can contribute to test variation and unacceptable precision. Two steps within this protocol - two aspects of the neck's physical setup - were identified by the ACR group as potential sources for variation: 1) setting the pre-test D-plane angle by neck bracket adjustment, and 2) setting the torque on the neck cable. Fifth female neck flexion tests were conducted with variations in these factors to determine their effect on neck test results.

In 2007, a software model of a Roll Stability Control (RSC) system was developed based on test data for a Volvo tractor at NHTSA's Vehicle Research and Test Center (VRTC). This model was designed to simulate the RSC performance of a commercially available Electronic Stability Control (ESC) system. The RSC model was developed in Simulink and integrated with the available braking model (TruckSim) for the truck. The Simulink models were run in parallel with the vehicle dynamics model of a truck in TruckSim. The complete vehicle model including the RSC system model is used to simulate the behavior of the actual truck and determine the capability of the RSC system in preventing rollovers under different conditions. Several simulations were performed to study the behavior of the model developed and to compare its performance with that of an actual test vehicle equipped with RSC.

Validation was performed on an existing heavy truck vehicle dynamics computer model with roll stability control (RSC). The first stage in this validation was to compare the response of the simulated tractor to that of the experimental tractor. By looking at the steady-state gains of the tractor, adjustments were made to the model to more closely match the experimental results. These adjustments included suspension and steering compliances, as well as auxiliary roll moment modifications. Once the validation of the truck tractor was completed for the current configuration, the existing 53-foot box trailer model was added to the vehicle model. The next stage in experimental validation for the current tractor-trailer model was to incorporate suspension compliances and modify the auxiliary roll stiffness to more closely model the experimental response of the vehicle. The final validation stage was to implement some minor modifications to the existing RSC model.

A study of injury patterns of older children (aged 6-12 years) indicates that they may deserve more attention from automotive safety researchers. Although older children represent 43.1% of child occupants involved in accidents taken from the National Accident Sampling System (NASS) database, they receive 55.4% of the injuries suffered by children. A lower restraint usage rate (56.2% compared to 63.4% for younger children) partly accounts for this disproportionate amount of injury. However, when restrained, fewer older children remain uninjured compared to younger children (62.8% vs. 70.8%). The number of older children receiving injuries decreases with restraint use (63.6% injured for unrestrained vs. 37.5% injured for restrained). When comparing injuries to restrained and unrestrained older children, the injuries are generally the same severities, but restraints lead to higher proportions of pelvis/abdomen injuries while reducing the occurrence of whole body injuries.

The objective of the American Automobile Manufacturers Association (AAMA) Heavy Truck Brake Tire Test was to evaluate how different tires might effect a vehicle's performance when tested per the Society of Automotive Engineers, Inc. (SAE) J1626 “Braking, Stability, and Control Performance Test Procedures for Air-Brake-Equipped Truck Tractors.” During the summer of 1991, the Motor Vehicle Manufacturer's Association (MVMA), now known as the American Automobile Manufacturer's Association (AAMA), contracted Transportation Research Center Inc. (TRC) to perform a Heavy Truck Round Robin Brake Test to evaluate the practicality and repeatability of the ABS test procedure developed for the Motor Vehicle Safety Research Advisory Committee of NHTSA (SAE Paper 922484). One of the conclusions derived from that test program was that tires seem to play a more significant role than expected in vehicle braking performance.

Most fatalities due to school bus accidents involve pedestrians being struck by the bus. All too frequently the school bus strikes a disembarking passenger because the driver was unaware of their presence near the bus. To try to prevent this type of accident, two Doppler microwave radar-based pedestrian detection systems have been developed and are commercially available. These systems supplement regular school bus mirrors. They operate only while the bus is stationary. Both systems detect moving pedestrians either directly in front of or to the right of the bus. The National Highway Traffic Safety Administration has performed a three-part evaluation of these pedestrian detection systems. The first part measured the field of view of each system's sensors. The second part evaluated the effectiveness and appropriateness of each system's driver interface. The third part was a small-scale operational evaluation.

According to NHTSA's 2011 Traffic Safety Facts [1], passenger vehicle occupant fatalities continued the strong decline that has been occurring recently. In 2011, there were 21,253 passenger vehicles fatalities compared to 22,273 in 2010, and that was a 4.6% decrease. However; large-truck occupant fatalities increased from 530 in 2010 to 635 in 2011, which is a 20% increase. This was a second consecutive year in which large truck fatalities have increased (9% increase from 2009 to 2010). There was also a 15% increase in large truck occupant injuries from 2010. Moreover, the fatal crashes involving large trucks increased by 1.9%, in contrast to other-vehicle-occupant fatalities that declined by 3.6% from 2010. The 2010 accident statistics NHTSA's report reveals that large trucks have a fatal accident involvement rate of 1.22 vehicles per 100 million vehicle miles traveled compared to 1.53 for light trucks and 1.18 for passenger cars.

Lab to lab differences in the testing of the Hybrid III 5th female dummy neck have led to the same neck passing in one lab and failing in another. Several indicators led to the hypothesis that the neck rotation measurement system is a critical factor in the differences observed. The Transportation Research Center Inc. and Denton ATD Inc. collaboratively conducted tests to understand the nature and importance of any differences obtained when different measurement devices are used. Dummy testing laboratories today use a neck rotation measurement system consisting of two rotary potentiometers, one attached to the neck/pendulum interface and one attached to the pivot pin which moves with the head of the dummy, plus a linkage between the two potentiometers (pots). The data from the two pots is summed for a total rotation. Neck testing was performed on two necks (of different manufacture) to investigate the effect of three rotation measurement assemblies' designs and masses.

To improve the biofidelity of the currently available Hybrid III 10-year-old (HIII-10C) Anthropomorphic Test Device (ATD), the National Highway Traffic Safety Administration (NHTSA) has developed the Large Omnidirectional Child (LODC) ATD. The LODC head is a redesigned HIII-10C head with mass properties and modified skin material required to match pediatric biomechanical impact response targets from the literature. A dynamic, nonlinear finite element (FE) model of the LODC head has been developed using the mesh generating tool Hypermesh based on the three-dimensional CAD model. The material data, contact definitions, and initial conditions are defined in LS-PrePost and converted to LS-Dyna solver input format. The aluminum head skull is stiff relative to head flesh material and was thus modeled as a rigid material. For the actual LODC, the head flesh is form fit onto the skull and held in place through contact friction.

Testing vision-based advanced driver assistance systems (ADAS) in a Camera-in-the-Loop (CiL) bench setup, where external visual inputs are used to stimulate the system, provides an opportunity to experiment with a wide variety of test scenarios, different types of vehicle actors, vulnerable road users, and weather conditions that may be difficult to replicate in the real world. In addition, once the CiL bench is setup and operating, experiments can be performed in less time when compared to track testing alternatives. In order to better quantify normal operating zones, track testing results were used to identify behavior corridors via a statistical methodology. After determining normal operational variability via track testing of baseline stationary surrogate vehicle and pedestrian scenarios, these operating zones were applied to screen-based testing in a CiL test setup to determine particularly challenging scenarios which might benefit from replication in a track testing environment.

A test procedure that rates brake performance must control variability so that measured differences between vehicles are real. Tests were conducted using standard brake test procedures with three drivers in three cars on wet and dry asphalt with the ABS working and disabled. The differences between vehicles were greater than differences due to ABS condition, surface condition, and drivers. The procedure measured differences between all the vehicles with statistical certainty but used many replications and drivers. If only large differences in performance need to be distinguished, fewer replications and drivers will be needed.

This study was performed to showcase the possible applications of the Hardware-in-the-loop (HIL) simulation environment developed by the National Highway Traffic Safety Administration (NHTSA), to test heavy truck crash avoidance safety systems. In this study, the HIL simulation environment was used to recreate a simulation of an actual accident scenario involving a single tractor semi-trailer combination. The scenario was then simulated with and without an antilock brake system (ABS) and electronic stability control (ESC) system to investigate the crash avoidance potential afforded by the tractor equipped with the safety systems. The crash scenario was interpreted as a path-following problem, and three possible driver intended paths were developed from the accident scene data.

Automated driving systems (ADS) are one of the key modern technologies that are changing the way we perceive mobility and transportation. In addition to providing significant access to mobility, they can also be useful in decreasing the number of road accidents. For these benefits to be realized, candidate ADS need to be proven as safe, robust, and reliable; both by design and in the performance of navigating their operational design domain (ODD). This paper proposes a multi-pronged approach to evaluate the safety performance of a hypothetical candidate system. Safety performance is assessed through using a set of test cases/scenarios that provide substantial coverage of those potentially encountered in an ODD. This systematic process is used to create a library of scenarios, specific to a defined domain. Beginning with a system-specific ODD definition, a set of core competencies are identified.

The objective is to determine whether responses and injury risks for pediatric occupants in child restraint systems (CRS) are affected by vehicle seat cushion stiffness and fore/aft cushion length. Eighteen sled tests were conducted using the Federal Motor Vehicles Safety Standard (FMVSS) 213 frontal pulse (48 km/h). Seats from a recent model year vehicle were customized by the manufacturer with three different levels of cushion stiffness: compliant, mid-range, and stiff. Each stiffness level was quantified using ASTM D 3574-08 and all were within the realistic range of modern production seats. The usable length of each seat cushion was manipulated using foam spacers provided by the manufacturer. Two different seat lengths were examined: short (34.0 cm) and long (43.5 cm).

In order to validate the operation of advanced driver assistance systems (ADAS), tests must be performed that assess the performance of the system in response to different scenarios. Some of these systems are designed for crash-imminent situations, and safely testing them requires large stretches of controlled pavement, expensive surrogate targets, and a fully functional vehicle. As a possible more-manageable alternative to testing the full vehicle in these situations, this study sought to explore whether these systems could be isolated, and tests could be performed on a bench via a hardware-in-the-loop methodology. For camera systems, these benches are called Camera-in-the-Loop (CiL) systems and involve presenting visual stimuli to the device via an external input.