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A major focus of the National Highway Traffic Safety Administration's (NHTSA) vehicle compatibility and aggressivity research program is the development of a laboratory test procedure to evaluate compatibility. This paper is written to explain the associated goals, issues, and design considerations and to review the preliminary results from this ongoing research program. One of NHTSA's activities supporting the development of a test procedure involves investigating the use of an mobile deformable barrier (MDB) into vehicle test to evaluate both the self-protection (crashworthiness) and the partner-protection (compatibility) of the subject vehicle. For this development, the MDB is intended to represent the median or expected crash partner. This representiveness includes such vehicle characteristics as weight, size, and frontal stiffness. This paper presents distributions of vehicle measurements based on 1996 fleet registration data.

NHTSA uses a variety of computer modelling techniques to develop and evaluate test methods and mitigation concepts, and to estimate safety benefits for many of NHTSA's research activities. Computer modeling has been particularly beneficial for estimating safety benefits where often very little data are available. Also modeling allows researchers to augment test data by simulating crashes over a wider range of conditions than would otherwise be feasible. These capabilities are used for a wide range of projects from school bus to frontal, side, and rollover research programs. This paper provides an overview of these activities. NHTSA's most extensive modeling research involves developing finite element and articulated mass models to evaluate a range of vehicles and crash environments. These models are being used to develop a fleet wide systems model for evaluating compatibility issues.

This paper presents an overview of NHTSA's vehicle aggressivity and fleet compatibility research activities. This research program is being conducted in close cooperation with the International Harmonized Research Agenda (IHRA) compatibility research group. NHTSA is monitoring the changing vehicle mix in the U.S. fleet, analyzing crash statistics, and evaluating any implications that these changes may have for U.S. occupant safety. NHTSA is also continuing full-scale crash testing to develop a better understanding of vehicle compatibility and to investigate test methods to assess vehicle compatibility.

This paper provides an update of NHTSA's research activities in vehicle compatibility and aggressivity. This paper pres ents new ly initiated efforts underw ay to develop test assessment meth odologie s intende d to evalua te vehic le compatibility. The rigid barrier load cell data collected from 18 years of the agency's New Car Assessment Program testing are reviewed to e valuate potentia l test measures that may be used to evaluate a vehic le's compatibility in vehicle-to-vehicle crashes. These parameters are then evaluated using a series of vehicle-to-vehic le and m oving deformable ba rrier (MDB)-to -veh icle tests. In these tests, the face of the MDB has been instrumented with an array of load cells to compute test measures. This study is part of NHTSA's ongoing compatib ility research program and is being coordinated with the IHRA compatibility group.

The National Highway Traffic Safety Administration (NHTSA) is conducting a research program to investigate the crash compatibility of passenger cars, light trucks and vans (LTV’s) in vehicle-to-vehicle collisions. NHTSA has conducted a series of eight full-scale vehicle-to-vehicle crash tests to evaluate vehicle compatibility issues. Tests were conducted using four bullet vehicles representing different vehicle classes striking a mid-size sedan in both side and oblique frontal crash configurations. The test results show a good correlation between vehicle aggressivity metrics and injury parameters measured in the struck car for the frontal offset tests, but not for the side impact tests.

A formulation is presented that augments a recently developed method for determining the nonlinear stiffness and damping characteristics of structures subjected to crash-loading environments. The system identification is accomplished using adaptive time domain, constrained minimization techniques. The structural characteristics are idealized with piecewise linear segments and, in the new formulation, the stiffness and damping characteristics are postulated to be functionally dependent. The inertial and material strain rate effects, which constitute the damping characteristics, are modeled as predefined, rate dependent factors applied to the stiffness characteristics. The motivation for this research is to develop lumped mass models of automobiles from acceleration and barrier load data collected during frontal barrier crash testing. The underlying approach in this method is being applied in a global system identification methodology.