Longitudinal Assessment of Older Drivers in a DMV Setting

A brief battery of functional assessments designed to detect crash riskamong older drivers was developed and evaluated initially in 1999 in Marylandmotor vehicle licensing sites following the routine vision screening exam. Thisbattery contained a number of cognitive tests (e.g., UFOV® subtest 2, the closuresubtest of the Motor Free Visual Perception Test (MVPT), Trails A and B, cuedrecall, delayed recall), and several physical measures (e.g., Rapid Pace Walk,Head and Neck Rotation, Foot Tap, Arm Reach). Older adults (N=4,173; meanage = 69 years) were approached by the staff after license renewal and asked tohelp evaluate the brief battery. Of the 4,173 older adults approached at the fieldsites, 2,114 individuals 55-96 years of age participated. Subsequently, the originalsample of 2,114 participants was invited to come in once again, during their fiveyearlicense renewal cycle, and the functional tests were administered once again.To date, 939 individuals have completed the second screening evaluation. Anexamination of the crash data from the interval between assessments for theseindividuals indicates that the same cognitive measures are predictive of at-faultcrashes. Furthermore, approximately 10% of those passing the assessment in 1999are now failing the assessment in 2004. Performance-based cognitive measuresare predictive of future at-fault motor vehicle collisions among older adults.Cognitive performance, in particular, is a salient predictor of subsequent crashinvolvement among older adults. High-risk older drivers can be identified throughbrief, performance-based measures administered in a DMV setting

Predicting Driving Performance in Older Adults with the Useful Field of View Test: A Meta-Analysis

This investigation examines the Useful Field of View (specifically theUFOV® test), as a predictor of objective measures of driving performance.PubMed and PsycInfo databases were searched to retrieve eight independentstudies reporting bivariate relationships between the UFOV® test and drivingmeasures (driving simulator performance, state-recorded crashes, and on-roaddriving). Cumulative meta-analysis techniques were used to examine thepredictive utility of the test, to determine whether the effect size was stable acrossstudies, and to assess whether a sufficient number of studies have been conductedto conclude that the test is an effective predictor of driving competence. Resultsshowed that the study samples could have been drawn from the same population.The weighted mean effect size across all studies revealed a large effect, Cohen’sd=0.945, with poorer UFOV® test performance associated with negative drivingoutcomes. This relationship was robust across multiple indices of drivingperformance and several research laboratories. A concrete measure of sufficiencyrevealed that an additional 513 studies averaging a null result must be conductedto bring the p-value for the cumulative effect size to greater than .05. Thisconvergence of evidence across different points in time and different researchteams confirms the importance of the UFOV® assessment as a valid and reliableindex of driving performance and safety. Corroborating this finding, a recent largefield study in Maryland has further established the UFOV® test as a usefulscreening instrument to identify at-risk older drivers. Taken together, thesefindings could have far-reaching implications for public policy

Computer and Videogame Interventions for Older Adults' Cognitive and Everyday Functioning

This study compared older adults' gains in cognitive and everyday functioning after a 60-session home-based videogame intervention with gains seen under formal cognitive training and usual care/no intervention

Synthesis of human factors research on older drivers and highway safety. Volume I: older driver research synthesis.

The overall goals in this project were to perform literature reviews and syntheses, using meta-analytic techniques, where appropriate, for a broad and comprehensive body of research findings on older driver needs and (diminished) capabilities, and a more focused body of work concerning human factors and highway safety, to support the development of specific research products. The research products completed through these activities included: (1) an applications-oriented Older Driver Highway Design Handbook intended to supplement standard design manuals for practitioners; (2) an Older Driver Research Synthesis, oriented toward human factors professionals and researchers; (3) a Human Factors and Highway Safety Synthesis capturing major findings and trends in studies of driver use of (and difficulties with) a wide range of highway elements; (4) future research program recommendations that are focused on specified applications and are consistent with the needs identified through other work in this project; and (5) the shell of a relational data base (RIDHER) structured to encompass the information elements in these research syntheses.The overall goals in this project were to perform literature reviews and syntheses, using meta-analytic techniques, where appropriate, for a broad and comprehensive body of research findings on older driver needs and (diminished) capabilities, and a more focused body of work concerning human factors and highway safety, to support the development of specific research products. The research products completed through these activities included: (1) an applications-oriented Older Driver Highway Design Handbook intended to supplement standard design manuals for practitioners; (2) an Older Driver Research Synthesis, oriented toward human factors professionals and researchers; (3) a Human Factors and Highway Safety Synthesis capturing major findings and trends in studies of driver use of (and difficulties with) a wide range of highway elements; (4) future research program recommendations that are focused on specified applications and are consistent with the needs identified through other work in this project; and (5) the shell of a relational data base (RIDHER) structured to encompass the information elements in these research syntheses.Federal Highway Administration, Office of Safety and Traffic Operations Research and Development, McLean, Va.Mode of access: Internet.Author corporate affiliation: Scientex Corporation, Transportation Safety Division, Kulpsville, Pa.Final report. Sept. 1993-Oct. 1997Subject code: EECSubject code: WOHSubject code: SFBSubject code: WPSubject code:

Impact of Distracted Driving on Safety and Traffic Flow

Studies have documented a link between distracted driving and diminished safety; however, an association between distracted driving and traffic congestion has not been investigated in depth. The present study examined the behavior of teens and young adults operating a driving simulator while engaged in various distractions (i.e., cell phone, texting, and undistracted) and driving conditions (i.e., free flow, stable flow, and oversaturation). Seventy five participants 16 to 25 years of age (split into 2 groups: novice drivers and young adults) drove a STISIM simulator three times, each time with one of three randomly presented distractions. Each drive was designed to represent daytime scenery on a 4 lane divided roadway and included three equal roadway portions representing Levels of Service (LOS) A, C, and E as defined in the 2000 Highway Capacity Manual. Participants also completed questionnaires documenting demographics and driving history. Both safety and traffic flow related driving outcomes were considered. A Repeated Measures Multivariate Analysis of Variance was employed to analyze continuous outcome variables and a Generalized Estimate Equation (GEE) poisson model was used to analyze count variables. Results revealed that, in general more lane deviations and crashes occurred during texting. Distraction (in most cases, text messaging) had a significantly negative impact on traffic flow, such that participants exhibited greater fluctuation in speed, changed lanes significantly fewer times, and took longer to complete the scenario. In turn, more simulated vehicles passed the participant drivers while they were texting or talking on a cell phone than while undistracted. The results indicate that distracted driving, particularly texting, may lead to reduced safety and traffic flow, thus having a negative impact on traffic operations. No significant differences were detected between age groups, suggesting that all drivers, regardless of age, may drive in a manner that impacts safety and traffic flow negatively when distracted