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Advanced Crash Avoidance Technologies (ACATs) such as Forward Collision Warning (FCW) and Automatic Emergency Braking (AEB) have been developed for light passenger vehicles (LPVs) to avoid and mitigate collisions with other road users and objects. However, the number of motorcycle (MC) crashes, injuries, and fatalities in the United States has remained relatively constant. To fully realize potential safety benefits, advanced driver assistance systems and future automated vehicle technologies also need to be effective in avoiding collisions with motorcycles. Toward this goal the Honda-DRI ACAT Safety Impact Methodology (SIM), which was previously developed to evaluate LPV ACAT system effectiveness in avoiding and mitigating collisions with fixed objects, other LPVs, and pedestrians, is being extended to also evaluate the effectiveness of ACATs in avoiding and mitigating LPV-MC collisions.

A class of driver attentional workload metrics has been developed for possible application to the measuring and monitoring of attentional workload and level of distraction in actual driving, as well as in the evaluation and comparison of in-vehicle human machine interface (HMI or DVI) devices. The metrics include driver/vehicle response and performance measures, driver control activity, and driver control models and parameters. They are the result of a multidisciplinary, experimental and analytical effort, applying control theory, manual control, and human factors principles and practices. Driving simulator and over-the-road experiments were used to develop, confirm, and demonstrate the use of the metrics in distracted driving situations. The visual-manual secondary tasks used in the study included navigation destination entry, radio tuning, critical tracking task, and a generic touch screen entry task.

An updated evaluation of the effects on predicted injuries of an example crush protective device (CPD) proposed for application to All-Terrain Vehicles (ATVs) is described. As in previous evaluations, this involved extending and applying the test and analysis methods defined in ISO 13232 (2005) for motorcycle impacts, to evaluate the effects of the example CPD in a sample of simulated ATV overturn events. Updated modeling refinements included lowering the energy levels of the simulated overturn events; accounting for potential mechanical/ traumatic (compressive) asphyxia mechanisms; refining and calibrating the force-deflection characteristics of helmet, head, legs and soil so as to reduce potential over-prediction of head and leg injuries; and calibrating the simulation against aggregated injury distributions from actual accidents.

Quantifying the independent effects of vehicle weight and size on overall vehicle safety is necessary in order to assess the risks and benefits of vehicle weight reduction. This paper describes the results of one-stage and two-stage logistic regression analyses of the effects of passenger vehicle weight, wheelbase, track, and footprint on fatalities per accident, accidents per exposure (e.g., vehicle-miles-traveled), and fatalities per exposure using national and multi-state traffic accident and exposure databases. The analyses were accomplished in two phases. The first phase used 1995 though 2000 calendar year data for 1991 through 1999 model year vehicles. The second phase used 2002 through 2008 calendar year data for 2000 through 2007 model year vehicles.

This paper reports on the interim progress of the Honda-DRI ACAT-II program initiated by the National Highway Traffic Safety Administration (NHTSA). The objectives of the ACAT-II program were further development of a formalized Safety Impact Methodology (SIM) for estimating the capability of advanced technology applications installed in vehicles to address specific types of motor vehicle crashes, and to evaluate driver acceptance of the technologies. This particular ACAT study extended earlier work by Honda and DRI in the NHTSA ACAT-I program by extending the SIM so as to be able to analyze head-on crashes more completely, and by using the extended SIM to evaluate of a pre-production version of a Honda Head-on Crash Avoidance Assist System (HCAAS).

The Advanced Crash Avoidance Technologies (ACAT) program initiated by the National Highway Traffic Safety Administration had two major overall objectives. These were to develop a standardized Safety Impact Methodology (SIM) tool to evaluate the effectiveness of advanced technologies in avoiding and mitigating specific types of vehicle crashes; and to develop and demonstrate objective tests that are used in the SIM to verify the safety impact of a real system. Honda and Dynamic Research Inc. (DRI) had been developing and applying such SIMs for several years and had a Cooperative Agreement with NHTSA to further develop a SIM in order to determine the feasibility of developing estimates of effectiveness for specific not-yet-deployed safety technologies in the absence of data from real world or field operational tests, and linking it to the results from objective tests.

The Advanced Crash Avoidance Technologies (ACAT) program initiated by the National Highway Safety Administration had two major objectives. These were to develop a standardized Safety Impact Methodology (SIM) tool to evaluate the effectiveness of advanced technologies in avoiding and mitigating specific types of vehicle crashes; and to develop and demonstrate objective tests that are used in the SIM to verify the safety impact of a real system. Honda and Dynamic Research Inc. (DRI) have been developing and applying such SIMs for several years and have a Cooperative Agreement with NHTSA to further develop a SIM that provides an estimate of full systems safety benefits at a national level.

A prototype safety analysis system has been developed to assess and forecast vehicle safety that can assist vehicle developers integrate various safety technologies into future production vehicles. The prototype system can be used to assess the actual safety in existing vehicles based on fatal accident and vehicle registration data (e.g., US FARS and Polk data); and to estimate the safety in future vehicles based on the estimated effectiveness of candidate passive and active safety technologies (e.g., Curtain Airbags, CMBS) using a systems model with a representative sample of in-depth accident data (e.g., NASS/CDS). Therefore, the prototype system is a useful tool which can be used to estimate the net overall effectiveness of various candidate safety technologies combined, providing a metric which can be used to help optimize the effectiveness of integrated vehicle safety systems.

An understanding of the independent effects of vehicle weight and size on overall vehicle safety is necessary in order to assess the risks and benefits of vehicle weight reduction. This paper describes the results of statistical analyses of 1985 to 1998 model year passenger cars and 1985 to 1997 model year light trucks and vans (LTVs) involved in traffic accidents in the US from 1995 to 1999 to quantify these effects. The analyses involved aggregate linear regression and logistic regression of US FARS fatal accident data, state accident data, and vehicle registration data, using methods based on or adapted from methods described in published NHTSA Technical Reports.

An analysis of vehicle tip stability in NHTSA Side Impact New Car Assessment Program (SINCAP) tests was conducted in order to better understand the causes of possible tip-over in such a test, and the potential relationship to occupant safety. Analyses were conducted of accident data involving light passenger vehicle rollovers. SINCAP tests conducted at several facilities with SUV-type vehicles were reviewed. A computer simulation model of the SINCAP test was developed and used to analyze the effects on vehicle tip-over of variations in vehicle and test facility parameters. It was found that fatal accidents involving “multi-vehicle rollover” (ie, SINCAP like conditions) were the least frequent among four accident types examined; and that SUV’s had the lowest fatality rate in such accidents, among the four vehicle types examined.

Results of a study are described in which driver subjective over-the-road noise discomfort ratings and objective measurements were collected and correlated for 10 driver subjects and an experimental matrix of test vehicles, transient road specimens, and repeated runs. Objective noise measurements included various time varying psychoacoustic Loudness and Sharpness metrics and Sound Pressure Level measurements. Results indicate that driver over-the-road noise discomfort is most strongly correlated with changes in the sound magnitude, for which Fast A-weighted SPL is almost as good a metric as Zwicker's Loudness, and to some extent is also correlated with the absolute sound level. Results also suggest that the change in the Aures' Sharpness of the sound and passenger car motion and vibration may also contribute to noise discomfort.