Novice Driver Training Results and Experience with a PC Based Simulator

This paper reports on work accomplished subsequent to a pilot study that was presented at the 2001 conference. This current study will eventually involve the training of over 500 novice drivers, and subsequent comparison of real-world accident and violation rates of the simulator trained group with a traditionally trained control group of demographically matched novice drivers. This paper describes the simulator training system and presents some training data for 111 student subjects collected at three sites involving different simulator configurations. These configurations include a desktop system with a single monitor narrow field of view display, a desktop system with wide field of view display and a cab with wide field of view display. The results include performance measures, a measure of simulator sickness and experience involved in implementing driver-training simulators in the high school environment

Driver Assessment with Measures of Continuous Control Behavior

This paper reviews past research on stimulus/response analysis methods in continuous control tasks, and describes procedures for specifically measuring driver behavior in a car following task. Example driving simulator data is given for drivers with disease impairments. The data processing methods are summarized and example results are given to demonstrate the data analysis approach. Analysis of driver steering and speed control behavior have been used to identify normal highway operations and effects of various impairments, including drugs, alcohol, fatigue and medical conditions. Typical measures might include characteristics of control (steering, throttle, brake) activity, such as control reversals and expected values such as mean and standard deviation. More powerful time series analysis methods look at the relationship between stimulus and response variables. Fourier analysis procedures have been used to carry out stimulus/response relationships, such as steering response to wind gusts and roadway curvature, and speed response to lead vehicle speed variations. These methods allow the analysis of driver time delay in responding to stimulus inputs, and the correlation of driver response to the stimulus input. Typically, driver impairments lead to responses with increased time delay and decreased correlation

Modeling black student academic performance in higher education

Recent research has noted differences in the predictive efficacy of educational attainment models produced for whites as opposed to blacks; and called for more resolution in the findings on blacks in advance of further comparative analyses. The National Study of Black College Students (NSBCS) is employed to develop a model that distinguishes between high- and low-performing black undergraduates attending public, four-year institutions. In the NSBCS sample ( N =695), discriminant function analysis identifies several institutional and student characteristics which are related to black students' educational outcomes. Specifically, students with both high occupational aspirations and high academic performances tend to be male, attend comparatively larger schools, and, to a lesser degree, be relatively well-adjusted upperclassmen. When academic performance is the sole issue, it is positively correlated with institutional quality, but the advantage belongs to black females. Contrary to the suggestions of previous research, black community sentiment did not have relationships with educational outcomes to the extent expected. These results suggest that future models of black educational attainment marry traditional Wisconsin-type measures with institutional and student attributes.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/43592/1/11162_2004_Article_BF00975106.pd

Discovery of a strong magnetic field in the rapidly rotating B2Vn star HR 7355

We report the detection of a strong, organized magnetic field in the helium-variable early B-type star HR 7355 using spectropolarimetric data obtained with ESPaDOnS on the 3.6-m Canada-France-Hawaii Telescope within the context of the Magnetism in Massive Stars (MiMeS) Large Program. HR 7355 is both the most rapidly rotating known main-sequence magnetic star and the most rapidly rotating helium-strong star, with $v \sin i$ = 300 $\pm$ 15 km s$^{-1}$ and a rotational period of 0.5214404 $\pm$ 0.0000006 days. We have modeled our eight longitudinal magnetic field measurements assuming an oblique dipole magnetic field. Constraining the inclination of the rotation axis to be between $38^{\circ}$ and $86^{\circ}$, we find the magnetic obliquity angle to be between $30^{\circ}$ and $85^{\circ}$, and the polar strength of the magnetic field at the stellar surface to be between 13-17 kG. The photometric light curve constructed from HIPPARCOS archival data and new CTIO measurements shows two minima separated by 0.5 in rotational phase and occurring 0.25 cycles before/after the magnetic extrema. This photometric behavior coupled with previously-reported variable emission of the H$\alpha$ line (which we confirm) strongly supports the proposal that HR 7355 harbors a structured magnetosphere similar to that in the prototypical helium-strong star, $\sigma$ Ori E.Comment: 6 pages, 3 figures. Accepted for publication in MNRAS Letter

Driving Simulator Performance Across the Lifespan: A Preliminary Study

OBJECTIVES Normal aging is associated with decline in abilities that may put an individual at increased riskfor a crash. Older individuals may have slowed processing speed and motor responses, a reduceduseful field of view (Ball et al., 1988), and greater difficulty with mental rotation (Armstrong etal., 1998). Although collision rates increase with age (Transportation Research Board, 1988), ithas been argued that specific age-related functional impairments, and not age itself, put one atrisk (Ball & Owsley, 2003). The goal of this study was to examine the relationship betweenaging and performance on driving simulations assessing specific components of driving—accident avoidance, divided attention, and navigation—and the degree to which they predict onroaddriving performance.METHODSForty control drivers (age 22 to 84; \u3c 50 yo, n = 14; 50-70 yo, n = 13; and \u3e 70 yo, n = 13)completed 3 simulations and an on-road driving evaluation. Exclusion criteria includedneurologic confounds, substance use and psychiatric disorders, as well as abnormalneuropsychological performance (based upon demographically-corrected norms). Thesimulations were presented on a Pentium III PC computer using a 17” monitor at 1280 x 1024resolution, and running STISIM Drive version 2.0 software (Systems Technology, Inc.;Hawthorne, CA). Hardware included a steering wheel, turn signal, and brake/accelerator pedals.The simulations consisted of 1) Advanced Routine and Emergency Driving (ARED), a 15-minute route simulating city/country driving, in which drivers must obey traffic signs, pass cars,and respond to high-risk crash scenarios; 2) Virtual City (VC), in which drivers must navigate toand from a location in a 5 x 5 block simulated city, and 3) Divided Attention, in which driversare to maintain a constant speed and lane position while responding to divided attention tasks inthe corner of the monitor. Participants also completed a 35-minute on-road assessment. Lastly,participants were assessed on a battery of neuropsychological tests. Earlier versions of thesimulations were predictive of on-road driving performance in an HIV-infected cohort (Marcotteet al., 2004). RESULTSThe three groups performed similarly on ARED (crashes, speeding tickets), as well as on the VCtask when the map was oriented to the same direction as the participant. On the other hand, olderparticipants had significantly more difficulty navigating when their orientation on the map wasreversed (e.g., the \u3c 50 group took 1.2 blocks beyond optimum to return from the destination; the50-70 and \u3e 70 years old groups took approximately 7.5 blocks). The three groups performedsimilarly with respect to lane deviation on the Divided Attention task, but the older groups hadincreased variability in speed maintenance, and the oldest group failed to respond to a greaternumber of divided attention stimuli (\u3c 50 yo = .3 (.83), 50-70 yo = 1.0 (1.3), \u3e 70 yo = 3.6 (2.7)).Although only one participant failed the on-road drive (50-70 yo), the percent of driversconsidered marginal or worse increased with age (7% vs. 25% vs. 55%). In a logistic regression,the simulator variables that best discriminated safe vs. marginal on-road came from the DividedAttention task: the number of missed stimuli and speed deviation, both of which require an intactuseful field of view and the shifting of gaze away from the roadway. Age did not enter into amodel that included these variables.CONCLUSIONSIn this study of normal, healthy controls, older participants drove similarly to young-to-middleaged participants on a simulation that most closely approximated real driving. Consistent withcognitive declines seen in normal aging, older participants had greater difficulty on a taskrequiring navigating when map orientation was reversed (perhaps indicative of impairedegocentric spatial abilities), as well as on a measure of driving-related divided attention, witholder participants appearing to allocate more attention to the roadway at the cost of attending andresponding to peripheral cues. Although older drivers had more difficulty during the on-road test,these difficulties were a function of deficits in the ability to divide attention efficiently, ratherthan aging per se.REFERENCESArmstrong, C.L., & Cloud, B. (1998). The emergence of spatial rotation deficits in dementia andnormal aging. Neuropsychology, 12(2), 208-217.Ball, K.K., Beard, B.L., Roenker, D.L., Miller, R.L., & Griggs, D.S. (1988). Age and visualsearch: Expanding the useful field of view. J Opt Soc Am A, 5(12), 2210-2219.Ball, K., & Owsley, C. (2003). Driving competence: It\u27s not a matter of age. J Am Geriatr Soc,51(10), 1499-1501.Marcotte, T.D., Wolfson, T., Rosenthal, T.J., Heaton, R.K., Gonzalez, R., Ellis, R.J., et al.(2004). A multimodal assessment of driving performance in HIV infection. Neurology, 63(8),1417-1422.Transportation Research Board. (1988). Transportation in an Aging Society, Vol 1. Washington,D.C.: National Research Council

The Impact of Cognitive Deficits and Spasticity on Driving Simulator Performance in Multiple Sclerosis

Multiple sclerosis (MS) is a demyelinating disease that can result in numerous sequelae. Although spasticity and cognitive dysfunction are common in MS, few studies have examined the impact of both factors on driving abilities in persons with physical impairments. The present study assessed driving performance in control participants and MS patients with documented spasticity using two brief simulations designed to measure lane tracking (under high cognitive load) and car following behavior. Seventeen MS patients and 9 controls participated in the study. The MS cohort exhibited a broad range of cognitive functioning (normal to significant impairment) and disability (Expanded Disability Status Scale scores of 3.0 to 7.5). Eight of the MS patients had significant spasticity in their right knee based upon the Modified Ashworth Spasticity Scale. MS patients had greater difficulty than controls on the simulations, particularly on the car following task. MS participants also tended to drive at higher speeds than the control participants. Within the MS cohort, cognitive dysfunction was most strongly associated with lane tracking decrements, whereas the possible relationship between cognitive function and car following behavior was eclipsed by lower limb spasticity. Spastic individuals had greater difficulty mirroring speed changes in the lead car, and were approximately one second slower in responding to its accelerations and decelerations. The current simulations provide important data regarding the impact various MS sequelae may have on driving performance, and may ultimately lead to clinical recommendations regarding specific driving behaviors and their associated risks

A new approach to high resolution, high contrast electron microscopy of macromolecular block copolymer assemblies

Determining the structure of macromolecular samples is vital for understanding and adapting their function. Transmission electron microscopy (TEM) is widely used to achieve this, but, owing to the weak electron scattering cross-section of carbon, TEM images of macromolecular samples are generally low contrast and low resolution. Here we implement a fast and practically simple routine to achieve high-contrast imaging of macromolecular samples using exit wave reconstruction (EWR), revealing a new level of structural detail. This is only possible using ultra-low contrast supports such as the graphene oxide (GO) used here and as such represents a novel application of these substrates. We apply EWR on GO membranes to study self-assembled block copolymer structures, distinguishing not only the general morphology or nanostructure, but also evidence for the substructure (i.e. the polymer chains) which gives insight into their formation mechanisms and functional properties

Overhead Guide Sign Visibility Factors, Volume I: Final Report

DTFH61-83-C-00151The project discussed in this report concerned the night use of overhead guide signs, including button and reflectorized copy and all practical combinations of reflectorized and opaque backgrounds. This project was a follow-up effort to the literature review by Gordon. Gordon's review found areas requiring further investigation, including the comparison of nonilluminated-nonretroreflectorized signs with both illuminated-nonretroreflectorized and retroreflectorized signs. The current project included the investigation of current signing practices throughout the country, development of a set of in-use luminance values for current overhead guide sign materials, development of life cycle costs for current signing materials and practices, and determination of driver response characteristics for these overhead guide sign systems. These goals were met through review of the literature, field testing, and static and dynamic laboratory testing. While the results of the tests are presented, no attempt has been made to draw conclusions from these data