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OBJECTIVES: This study sought to analyze the extent of motor adaptation in ankle plantar flexors and dorsiflexors among older drivers during clinical isokinetic testing. METHODS: One hundred older adults (70.4±5.7 years) participated in two bilateral ankle plantar flexor and dorsiflexor isokinetic assessments at 30°/sec. Peak torque (PTQ), PTQ adjusted for body weight (PTQ/BW), and total work (TW) were analyzed. RESULTS: On the dominant side, PTQ/BW and TW were significantly greater for the second plantar flexion test than were those for the first such test (p

Clinicians play an important role in the prevention of unintentional injuries. Falls and motor vehicle crashes (MVC) have predictable and overlapping antecedents. Systematic screening for and management of vision impairment, frailty, cognitive impairment, polypharmacy, and inappropriate medications will reduce both falls and MVC risks. Fall-prevention measures, such as strength training, need to be more widely prescribed by physicians and implemented by older adults. Technologically tailored approaches are needed to leverage fall-reduction programs at home, as well as education of older adults regarding home hazards., (Copyright © 2023 Elsevier Inc. All rights reserved.)

Highlights • 142 drivers aged ≥75 completed a two-hour classroom-based driving course. • Participants wished to improve their knowledge and confirm or improve driving skills. • Pre- and post-course confidence and driving ability ratings were unchanged for 60% of drivers. • Eighty percent said they would definitely or probably change the way they drive. • Ninety-four percent would recommend the course to others. Abstract Around the world, a growing proportion of drivers are aged 70 or over. Although accident rates for older drivers are lower than for young or novice drivers, increased frailty and slowed reactions mean that older drivers are at higher risk of death or serious injury when involved in a road collision. The objectives of this study were to: (a) identify driving knowledge and self-regulatory strategies among a group of older drivers with a view to planning future on-road training; (b) measure driver self-assessments of ability and confidence before and after classroom training delivered by driving instructors; (c) evaluate the utility and acceptability of training courses for older drivers using questionnaires and focus groups; d) examine the characteristics of course participants. 142 drivers aged ≥75 completed a two-hour classroom-based driving course and took part in the evaluation: 94 aged 75–79, 48 aged ≥80, 68% male. Main reasons for taking part were to update knowledge, improve driving and check they were safe to drive. Results showed that females were more likely than males to avoid driving in difficult conditions (at night, in bad weather, unfamiliar roads). More drivers aged 75–79 said they did not restrict their driving (52, 57%) compared to drivers aged ≥80 (19, 43%). Pre-course, males rated their driving confidence and ability significantly higher than females. Post-course, self-ratings of confidence and ability were unchanged for 76 (60%) drivers. However, two-thirds reported improved knowledge and 80% said they would change their driving behaviour as a result of the course. Focus group results suggest that competent drivers are more likely to attend educational courses than unsafe drivers. This study provides preliminary evidence that classroom-based training can initiate behaviour change among older drivers. Future research will examine the effectiveness of on-road training in this age group. [ABSTRACT FROM AUTHOR]

We surveyed self-reported lifetime health conditions (using National Health and Aging Trends Study questions) and related driving reduction in a large multi-site older driver cohort (n = 2990) from the AAA Longitudinal Research on Aging Drivers (LongROAD) Study's baseline assessment. Those reporting reduced driving (n = 337) largely attributed reduction to musculoskeletal (29%), neurologic (13%), and ophthalmologic (10%) conditions. Women reported health condition-related driving reduction more often than men (14% versus 8%, p<.001). Mobility affects well-being; health professionals should consider that health conditions may cause older adults to reduce driving. Gender differences deserve attention in future research and education efforts. [ABSTRACT FROM AUTHOR]

Quality of Life (QoL) is frequently understood as subjective well-being at both individual and population levels and specific to a country or context. For individuals, mobility afforded by transport is an important predictor of QoL. This paper aims to provide an overview of theoretical approaches, particularly the selection, optimization, compensation (SOC) model, the scales used to measure quality of life, and the scale development of Mobility-related Quality of Life (M-QoL) among older drivers. A pool of items was developed from three sources: i) literature review, ii) Instrumental Activities of Daily Living (IADL) scale and iii) focus group discussion with older drivers. A survey amongst 498 older Malaysian drivers was administered to confirm internal consistency of the scale. Exploratory factor analysis revealed that the developed M-QoL scale consists of 12 items with good internal consistency (α = 0.90), and consists of two subfactors addressing functions of driving and accessibility for independent living. Implications of the findings are discussed, including encouraging continuation of driving for those who are able to drive safely, and provision and use of alternatives to driving to help them achieve maximum mobility. Suggestions for future research are also recommended. [ABSTRACT FROM AUTHOR]

Research from the USA and Great Britain indicates that the number of fatal crashes (as well as the rates of crashes of all levels of injury and property damage) involving older drivers declined between approximately 1997 and 2010 despite increases in the number of older drivers on the road and in their driving exposure. Differing results have been found in Australian research with the number of older driver fatalities having been steady and even slightly increasing between 2004 and 2013. The present study further examined trends in the crash involvement of older drivers in Australia to determine whether their involvement has been increasing or decreasing, and how this compares to trends for younger aged drivers. Crash, injury, population and licensure data were examined by age group for the years 2003–2012. There were increases in the population and licensure of drivers aged 65 years and older, while the total crashes, serious injuries, and fatalities remained steady for drivers aged 65–84 and increased for the oldest group (85+) between 2003 and 2012. Increasing trends were also found for drivers 85 and older for rates of serious or fatal injuries per head of population and per licensed driver. Population and licensure among younger age groups also increased but their crash numbers and crash rates remained steady or declined. The stable or slightly increasing fatal crash involvement of older drivers in Australia contrasts with the declining trends in the USA and Great Britain. Therefore, greater attention should be given to the road safety of older drivers in Australia. [ABSTRACT FROM AUTHOR]

Automated driving has the potential to improve the safety and efficiency of future traffic and to extend elderly peoples’ driving life, provided it is perceived as comfortable and joyful and is accepted by drivers. Driving comfort could be enhanced by familiar automated driving styles based on drivers’ manual driving styles. In a two-stage driving simulator study, effects of driving automation and driving style familiarity on driving comfort, enjoyment and system acceptance were examined. Twenty younger and 20 older drivers performed a manual and four automated drives of different driving style familiarity. Acceptance, comfort and enjoyment were assessed after driving with standardised questionnaires, discomfort during driving via handset control. Automation increased both age groups’ comfort, but decreased younger drivers’ enjoyment. Younger drivers showed higher comfort, enjoyment and acceptance with familiar automated driving styles, whereas older drivers preferred unfamiliar, automated driving styles tending to be faster than their age-affected manual driving styles. Practitioner Summary: Automated driving needs to be comfortable and enjoyable to be accepted by drivers, which could be enhanced by driving style individualisation. This approach was evaluated in a two-stage driving simulator study for different age groups. Younger drivers preferred familiar driving styles, whereas older drivers preferred driving styles unaffected by age. [ABSTRACT FROM AUTHOR]

ABSTRACTBackground:Elderly drivers are an increasing group in society. Previous research has found that functional and cognitive abilities are more important for driving abilities than biological age. In an attempt to conserve independent mobility for elderly drivers, many researchers have focused on elderly drivers diagnosed with cognitive decline (mild cognitive impairment or mild Dementia). This study is the first to focus on elderly drivers with cognitive complaints or suspected of diminished fitness to drive by an (in)formal caregiver as an at-risk group.Methods: The main objective of this study was to develop a fitness to drive screening tool for elderly drivers to be used in a doctor's office. Furthermore, this study investigated the additional value of driving simulator tests in the assessment of fitness to drive. Both screenings (functional abilities and driving simulator test) were benchmarked against the official Belgian fitness to drive licensing procedure.Results: One-hundred thirty-six elderly drivers participated in a functional abilities screening, a driving simulator assessment and an on-road driving test. Sixty-five percent of the sample was considered fit to drive. Visual acuity, physical flexibility, and knowledge of road signs were found to be the best predictive set of tests for the on-road fitness to drive outcome. A performance based driving simulator assessment increased predictive accuracy significantly.Conclusion: The proposed screening procedure saves part of the at-risk elderly driver population from stressful and costly on-road driving evaluations. This procedure provides more information of an individual driver's specific driving parameters. This opens doors for personalized older driver training to maintain independent mobility in later life. [ABSTRACT FROM AUTHOR]

Previous studies on older drivers show that diminishing functional (i.e. visual, motor and cognitive) abilities influence driving behavior. Research on young novice drivers, has shown that personality factors such as reinforcement sensitivity play a role in driving behavior. This relation however, has been understudied in older drivers. The present study investigated the relationship between reinforcement sensitivity and driving in older drivers at risk of diminished driving ability. Driving was assessed by self-report measures (i.e., Driver Behavior Questionnaire), a simulated driving task and an on-road driving assessment. Both general driving as well as specific aspects of driving (i.e. speed, standard deviation of lateral position [SDLP], reactions to unexpected events) were considered. Reinforcement sensitivity was assessed by means of the classical BIS ⧹ BAS self-report instrument. Additionally, as this has been shown already for adolescents, it was investigated whether behavioral inhibition can function as a surrogate measure of reinforcement sensitivity, by studying the relation between behavioral inhibition and reinforcement sensitivity in the current sample of older adults. Reinforcement sensitivity predicted self-report driving but simulated and on-road driving were mainly predicted by age. In specific aspects of simulated driving, reinforcement sensitivity played only a minor role. The fact that reinforcement sensitivity was related to self-reported driving provides support for the hypothesis that personality differences have a direct influence on older drivers’ self-assessment and possibly on self-regulation and ceasing to drive decisions. Behavioral inhibition was unrelated to reinforcement sensitivity in older drivers and can therefore not function as a surrogate measure of reinforcement sensitivity. [ABSTRACT FROM AUTHOR]

Drawing on ethnomethodology and conversation analysis, the study examines video data in which drivers with a valid licence participate in voluntary instructor‐led training. The study discusses noticings by the instructor that concern current events or states of affairs and prompt the driver to adjust her driving or that concern habitual practices developed by the driver over time and encourage her to alter them in the future. The former are simple noticings, whereas the latter are prefaced with “I notice that.” The design and timing of the noticings reveal how they are to be understood with respect to the mobile instructional situation. Moreover, they make visible the instructor's ongoing monitoring and assessment of the driver's performance and the instructor's expectations regarding the driver's experience and competence. [ABSTRACT FROM AUTHOR]

Objectives: To examine automobile crash risk associated with cognition in older drivers without dementia. Design: Retrospective secondary analysis of longitudinal cohort study. Setting: Our study used data from the Adult Changes in Thought (ACT) Study merged with Washington State crash reports and licensure records. Data were available from 2002 to 2015. Participants: Group Health enrollees from Washington State aged 65 and older with active driver's licenses (N=2,615). Measurements: Cognitive function was assessed using the Cognitive Abilities Screening Instrument scored using item response theory (CASI‐IRT). The study outcome was police‐reported motor vehicle crash. We used a negative binomial mixed‐effects model with robust standard errors clustered on the individual and considered associations between crash risk, level of cognition, and amount of decline since the previous study visit. Covariates included age, sex, education, alcohol, depression, medical comorbidities, eyesight, hearing, and physical function. Individuals were censored at dementia diagnosis, death, or failure to renew their license. Results: Over an average of 7 years of follow‐up, 350 (13%) people had at least one crash. A 1‐unit lower CASI‐IRT score was associated with a higher adjusted incidence rate ratio of crash of 1.26 (95% confidence interval=1.08–1.51). Beyond level of cognition, amount of cognitive decline between study visits was not associated with crash risk. Conclusion: This study suggests that, in older drivers, poorer performance on the CASI‐IRT may be a risk factor for motor vehicle crashes, even in individuals without diagnosed dementia. Further research is needed to understand driving behavior and inform driving decisions for older adults with poor cognitive function. [ABSTRACT FROM AUTHOR]

Aim We evaluated the effectiveness of individually tailored driving lessons compared with a road rules refresher course for improving older driver safety. Methods Two arm parallel randomised controlled trial, involving current drivers aged 65 and older (Mean age 72.0, 47.4% male) residing in Canberra, Australia. The intervention group (n = 28) received a two-hour class-based road rules refresher course, and two one-hour driving lessons tailored to improve poor driving skills and habits identified in a baseline on-road assessment. The control group (n = 29) received the road rules refresher course only. Tests of cognitive performance, and on-road driving were conducted at baseline and at 12-weeks. Main outcome measure was the Driver safety rating (DSR) on the on-road driving test. The number of Critical Errors made during the on-road was also recorded. Results 55 drivers completed the trial (intervention group: 27, control group: 28). Both groups showed reduction in dangerous/hazardous driver errors that required instructor intervention. From baseline to follow-up there was a greater reduction in the number of critical errors made by the intervention group relative to the control group (IRR = 0.53, SE = 0.1, p  = .008). The intervention group improved on the DSR more than the control group (intervention mean change = 1.07 SD = 2.00, control group mean change = 0.32 SD = 1.61). The intervention group had 64% remediation of unsafe driving, where drivers who achieved a score of ‘fail’ at baseline, ‘passed’ at follow-up. The control group had 25% remediation. Conclusion Tailored driving lessons reduced the critical driving errors made by older adults. Longer term follow-up and larger trials are required. [ABSTRACT FROM AUTHOR]

What are the main contributing factors to road accidents? Factors such as inexperience, lack of skill, and risk-taking behaviors have been associated with the collisions of young drivers. In contrast, visual, cognitive, and mobility impairment have been associated with the collisions of older drivers. We investigated the main causes of road accidents by drawing on multiple sources: expert views of police officers, lay views of the driving public, and official road accident records. In Studies 1 and 2, police officers and the public were asked about the typical causes of road traffic collisions using hypothetical accident scenarios. In Study 3, we investigated whether the views of police officers and the public about accident causation influence their recall accuracy for factors reported to contribute to hypothetical road accidents. The results show that both expert views of police officers and lay views of the driving public closely approximated the typical factors associated with the collisions of young and older drivers, as determined from official accident records. The results also reveal potential underreporting of factors in existing accident records, identifying possible inadequacies in law enforcement practices for investigating driver distraction, drug and alcohol impairment, and uncorrected or defective eyesight. Our investigation also highlights a need for accident report forms to be continuously reviewed and updated to ensure that contributing factor lists reflect the full range of factors that contribute to road accidents. Finally, the views held by police officers and the public on accident causation influenced their memory recall of factors involved in hypothetical scenarios. These findings indicate that delay in completing accident report forms should be minimised, possibly by use of mobile reporting devices at the accident scene. [ABSTRACT FROM AUTHOR]

Purpose of the Study: In a number of states, physicians are mandated by state law to report at-risk drivers to licensing authorities. Often these patients are older adult drivers who may exhibit unsafe driving behaviors, have functional/cognitive impairments, or are diagnosed with conditions such as Alzheimer's disease and/or seizure disorders. The hypothesis that mandatory physician reporting laws reduce the rate of crash-related hospitalizations among older adult drivers was tested. Design and Methods: Using retrospective data (2004-2009), this study identified 176,066 older driver crash-related hospitalizations, from the State Inpatient Databases. Three age-specific negative binomial generalized estimating equation models were used to estimate the effect of physician reporting laws on state's incidence rate of crash-related hospitalizations among older drivers. Results: No evidence was found for an independent association between mandatory physician reporting laws and a lower crash hospitalization rate among any of the age groups examined. The main predictor of interest, mandatory physician reporting, failed to explain any significant variation in crash hospitalization rates, when adjusting for other state-specific laws and characteristics. Vision testing at in-person license renewal was a significant predictor of lower crash hospitalization rate, ranging from incidence rate ratio of 0.77 (95% confidence interval 0.62-0.94) among 60- to 64-year olds to 0.83 (95% confidence interval 0.67-0.97) among 80- to 84-year olds. Implications: Physician reporting laws and age-based licensing requirements are often at odds with older driver's need to maintain independence. This study examines this balance and finds no evidence of the benefits of mandatory physician reporting requirements on driver crash hospitalizations, suggesting that physician mandates do not yet yield significant older driver safety benefits, possibly to the detriment of older driver's well-being and independence. [ABSTRACT FROM AUTHOR]

Objectives: Patients with Alzheimer’s disease (AD) demonstrate deficits in cross-cortical feature binding distinct from age-related changes in selective attention. This may have consequences for driving performance given its demands on multisensory integration. We examined the relationship of visuospatial search and binding to driving in patients with early AD and elderly controls (EC). Methods: Participants (42 AD; 37 EC) completed search tasks requiring either luminance-motion (L-M) or color-motion (C-M) binding, analogs of within and across visual processing stream binding, respectively. Standardized road test (RIRT) and naturalistic driving data (CDAS) were collected alongside clinical screening measures. Results: Patients performed worse than controls on most cognitive and driving indices. Visual search and clinical measures were differentially related to driving behavior across groups. L-M search and Trail Making Test (TMT-B) were associated with RIRT performance in controls, while C-M binding, TMT-B errors, and Clock Drawing correlated with CDAS performance in patients. After controlling for demographic and clinical predictors, L-M reaction time significantly predicted RIRT performance in controls. In patients, C-M binding made significant contributions to CDAS above and beyond demographic and clinical predictors. RIRT and C-M binding measures accounted for 51% of variance in CDAS performance in patients. Conclusions: Whereas selective attention is associated with driving behavior in EC, cross-cortical binding appears most sensitive to driving in AD. This latter relationship may emerge only in naturalistic settings, which better reflect patients’ driving behavior. Visual integration may offer distinct insights into driving behavior, and thus has important implications for assessing driving competency in early AD. (JINS, 2018, 24, 486–497) [ABSTRACT FROM AUTHOR]

The aim of the current study was to examine how self-reported aberrant driving behaviours change across a three time-points in a group of older drivers. Two hundred and twenty-seven older drivers (males = 69.6%) from the Candrive/Ozcandrive longitudinal study completed the Driving Behaviour Questionnaire (DBQ) each yearacross three time-points (i.e., Year 1, Year 2, Year 3). At the third time-point, older drivers ranged in age from 77 to 96 years (M = 81.74 years; SD = 3.44 years). A longitudinal confirmatory factor analysis showed that a modified 21-item, 3-factor (errors, lapses and violations) DBQ was invariant across the time period, suggesting that the structure of the questionnaire was stable across each time-point. Further, multiple domain latent growth analysis on the resultant factors for errors, lapses and violations showed that the frequency of errors remained similar across the three-year period, while violations and lapses showed very marginal decreases in frequency. These changes were independent of the absolute number of these behaviours; Drivers with higher violations or lapses in Year one, showed similar decreases in frequency as those who self-reported lower frequencies of the behaviours. These results suggest that the DBQ is a reliable tool to measure older drivers’ self-reported aberrant driving behaviours, and that these behaviours do not show much change across time. Future research should validate the self-reported responses from the DBQ with more objective measures such as those collected through naturalistic driving study (NDS) methodology or on-road driving tasks. [ABSTRACT FROM AUTHOR]

Visual information for a driver is predominant during driving. Linking drivers’ visual search patterns with motor behaviour helps understand how drivers perceived spatial and hazardous information to regulate their physical movements. Visual-motor coordination performance can be a sensitive indicator for driver competency assessment. Due to age-related cognitive decline, older drivers are likely inefficient in visual-motor coordination. While poor visual-motor coordination can cause risky behaviour behind the wheel, it is yet challenging to examine it owing to the complexity of driving behaviour. By reviewing how vision guides driving, we proposed a gaze-based integrated driving assessment approach. The empirical data were from 38 older drivers aged 60 to 81 years, who completed an on-road driving assessment recorded by eye tracking and vehicle movement tracking. Their visual search attributes were extracted from eye tracking video frames and linked to vehicle positions. Driving data, drivers’ cognitive condition and driving section were encapsulated into an integrated database, allowing interrogating multi-faceted driver-vehicle-environment interactions. Exploratory analysis results show that older drivers’ performed different visual search patterns at roundabout and intersection manoeuvres. Older drivers with better executive function skills performed more frequent eye fixations on the curves and inside vehicle features. The investigation of visual-motor coordination performance demonstrated the feasibility and effectiveness of using the integrated approach in assessing older drivers’ performance. [ABSTRACT FROM AUTHOR]

Older adults are an active and growing segment of drivers in the United States. We compared the risk of motor vehicle crash among older licensed drivers diagnosed with dementia to crash risk among older licensed drivers without diagnosis of dementia. This retrospective cohort study used data from Group Health (GH), a Washington State health maintenance organization. Research participants were members of GH, aged 65–79 during the study who lived in Washington State from 1999–2009. Participant health records were linked with police-reported crash and licensure records. We estimated the risk of crash for older drivers diagnosed with dementia compared to older drivers without diagnosis of dementia using a Cox proportional hazards model with robust standard errors, accounting for recurrent events (crashes). Multivariable models were adjusted for age, sex, history of alcohol abuse or depression, comorbidities, and medications. There were 29,730 eligible individuals with an active driving license. Approximately 6% were diagnosed with dementia before or during the study. The police-reported crash rate was 14.7 per 1000 driver-years. The adjusted hazard ratio of crash among older drivers with diagnosed dementia was 0.56 (95% CI 0.33, 0.95) compared to those without diagnosed dementia. On-road and simulator-based research showed older adults with dementia demonstrated impaired driving skill and capabilities. The observed lower crash risk in our study may result from protective steps to limit driving among older adults diagnosed with dementia. Future research should examine driving risk reduction strategies at the time of dementia diagnosis and their impact on reducing crash risk. [ABSTRACT FROM AUTHOR]

Objective: A number of training programs that seek to improve driving performance among older drivers are available accompanied by a growing interest in their effectiveness. The purpose of the present investigation was to examine the combined effect of (1) basic in-class training (BT); (2) on-road training with individualized feedback (OR); and (3) training on a driving simulator (S).Methods: Using a randomized controlled trial study design, 78 older drivers were randomly assigned to one of 3 groups (BT, BT + OR, or BT + OR + S). All participants completed a pre- and postintervention on-road driving evaluation on a standardized route. The driving evaluations were recorded using video and Global Positioning System (GPS) equipment and were scored by a blind assessor.Results: The results indicated a significant reduction of approximately 30% in overall number of driving errors/omissions among participants in the BT + OR and the BT + OR + S groups in comparison to participants in the BT group.Conclusions: This study adds to the mounting evidence demonstrating the effectiveness of individualized driver training in improving safe driving among older adults. [ABSTRACT FROM AUTHOR]

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Older drivers experience difficulties in lane maintenance under challenging driving sections due to age-related cognitive declines, yet there is little comprehensive evidence on associations between cognitive functions and the lane maintenance in this population. In this study, fifty older drivers completed an on-road driving assessment and a battery of standard neuropsychological tests. Mean Lane Position (MLP), Standard Deviation of Lane Position (SDLP) and manoeuvre time calculated from precise vehicle movement trajectories were used as the lane maintenance parameters. The GNSS tracking vehicle movement presents comprehensive and reliable vehicle position data, which is more sensitive for detecting subtle variations of lane maintenance in older drivers. Statistical analysis results show that lower visual attention (selective and divided attention) was associated with higher MLP and SDLP; MLP was also correlated to spatial abilities, executive function, and motor speed; manoeuvre time was negatively correlated with drivers’ risk-taking personality (all p < .01). Selective attention was found to be the best predictor of MLP in lane maintenance. A combined eight variables from three neuropsychological tests, UFOV 2 and 3, BD and BJLO, D-KEFS TMT 1, 2, 3, and 4, correctly classified 80.4% of participants with good versus low-performing lane maintenance. [ABSTRACT FROM AUTHOR]

It has been consistently reported that women self-regulate their driving more than men. Volunteer drivers aged 75 years and older from the suburban outskirts of Sydney, Australia joined a longitudinal study in 2012–2014. GPS in-vehicle monitoring was used to objectively measure driving and surveys of driving patterns. The study included 343 drivers (203/343, 59% men) with an average age of 80 years. Our results revealed that men were 3.85 times more likely to report driving beyond their local shire during the past year (95% CI 2.03–5.72) and 1.81 times more likely to report that they do not avoid night driving (95% CI 1.21–3.22). In contrast sex was not predictive of any objective measure of driving during a one-week period of monitoring. These findings suggest that men and women report different self-regulation practices but that actual driving exposure is quite similar. These findings can inform strategies to promote safe mobility. [ABSTRACT FROM AUTHOR]

We administered the Assessment of Readiness for Mobility Transition (ARMT) to 301 older drivers and compared total scores with participant characteristics. Overall, 18% of participants were not attitudinally ready for mobility transition, while 19% were very ready. Notably, participants with hospitalizations in the past year were either very ready for mobility transition (20% vs 14% without hospitalizations) or not ready at all (30% vs 17%). Significant health events may polarize reactions towards mobility transition. Individualizing communication about driving cessation readiness could help address such differing views. To further consider its effectiveness, ARMT could be utilized in mobility transition counseling interventions. [ABSTRACT FROM AUTHOR]

Older adults eventually stop driving at a certain point. Driving cessation in older adults can have negative outcomes such as less social involvement, depression, social isolation, and even death. With the growing number of older adults, issues related to driving cessation must be carefully examined. However, little information is available on the driving habits of older adults in Korea. The purpose of this study is to examine the rate of driving cessation, and to identify predictors of driving cessation over three years in community-dwelling older adults in Korea. Open data from the National Survey on Korean Older Persons conducted in the years 2008 and 2011 were used for baseline and 3-year follow-up comparisons, respectively. The driving status of participants who were driving in 2008 was tracked in 2011. A total of 716 older drivers ages 65 years and over were selected. Logistic regression analysis was conducted to determine the predictors of driving cessation in 2011. Over a 3-year period, the rate of driving cessation was 17.9% (n = 128). Factors associated with driving cessation were advanced age, living in an urban area, weaker handgrip strength, depression, and impaired cognition. Healthcare professionals should make assessments and develop interventions to improve overall functions needed to maintain driving ability in older adults. [ABSTRACT FROM AUTHOR]

The aim of this study was to analyse the difficulties experienced by older drivers during their regular driving, and to identify their needs and their expectations regarding Advanced Driving Aid Systems (ADAS) and vehicle automation. More than 100 items were investigated by using a Focus Group method based on a Collective Questionnaire (named FoG-CoQS ). Thirty elderly drivers, 15 females and 15 males aged from 70 to 81 years (mean age of 73.3; S.D. = 3.18) were recruited among a representative sample of 76 older drivers living in the Rhône area and having previously participated to an on-road experiment, in order to collect from this Focus Group method further information about the driving difficulties they experienced in their everyday life and their expectations towards driving aids. Seven main topics were more particularly investigated, recovering at last all the main dimensions of the driving task (from navigation to speed control, through intersection crossing). Regarding driving difficulties, one of the most interesting result collected is the high contrast between the literature review, identifying Left Turn (LT) manoeuvres at crossroads as a risky driving situation for elderly drivers, and the relatively low values of perceived difficulties (i.e. compared to other driving sub-tasks) collected during this Focus Group among our sample of older drivers. Regarding the driving aid functions investigated, 10 of them obtained high scores of “perceived utility” (i.e. overpassing 60% on scales ranging from 0% [no utility] to 100% [high utility]), and they concerned assistances liable to support all the main components of the driving task investigated in this study. Additional results are related to the differences between the elderly female and male drivers. Several driving situations were assessed as significantly more difficult to perform by the older female than by the older male drivers, like intersection crossing, entering expressways, or implementing a lane change manoeuver. By contrast, this gender effect is more limited regarding driving aids: synthetically, men and women have a positive attitude towards driving aid systems and their expectations for future ADAS are quite similar (for instance, “informative systems” are preferred than driving aids based on “vehicle automation”). Finally, from two transversal items (i.e. “difficulties” to perform a driving sub-task and “perceived utility” of ADAS), it was possible to rank older drivers’ difficulties experienced during their everyday life (from lowest difficulties to “navigate on a familiar itinerary” to highest when “interacting with bicyclists”) and their expectations towards driving aids (from lowest utility score given to “Automatic Lane Change systems” to highest utility value provided to “Speed Informer systems”). At last, older drivers’ acceptance and expectations towards highly automated cars was also investigated: full automation was assessed as an interesting solution to ensure the self-mobility of elderly peoples in their circle, but also for themselves in the future, in case of impairments of their own cognitive or physical capacities. [ABSTRACT FROM AUTHOR]

Crash rates per mile indicate a high risk of vehicle crash in older drivers. A reliance on mileage alone may underestimate the risk exposure of older drivers because they tend to avoid highways and travel more on nonfreeways (e.g., urban roads), which present greater hazards. We introduce risk-exposure density as an index of exposure that incorporates mileage, frequency of travel, and travel duration. Population-wide driver fatalities in the United States during 2002-2012 were assessed according to driver age range (in years: 16-20, 21-29, 30-39, 40-49, 50-59, 60-69, ≥70) and sex. Mileage, frequency, and duration of travel per person were used to assess risk exposure. Mileage-based fatal crash risk increased greatly among male (relative risk (RR) = 1.73; 95% CI: 1.62, 1.83) and female (RR = 2.08; 95% CI: 1.97, 2.19) drivers from ages 60-69 years to ages ≥70 years. Adjusting for their density of risk exposure, fatal crash risk increased only slightly from ages 60-69 years to ages ≥70 years among male (RR = 1.09; 95% CI: 1.03, 1.15) and female (RR = 1.22; 95% CI: 1.16, 1.29) drivers. While ubiquitous in epidemiologic research, mileage-based assessments can produce misleading accounts of driver risk. Risk-exposure density incorporates multiple components of travel and reduces bias caused by any single indicator of risk exposure. [ABSTRACT FROM AUTHOR]

Objective: The aging of the population in the United States and elsewhere has brought increasing attention to the issue of safe driving and mobility among older adults. The overall objective of this research was to use naturalistic data collection to better understand driving exposure and driving patterns, 2 important contributors to crash risk.Methods: Data came from a study conducted at the University of Michigan Transportation Research Institute as part of the Integrated Vehicle-Based Safety System (IVBSS) program. A total of 108 randomly sampled drivers took part, with the sample stratified by age and sex. The age groups examined were 20 to 30 (younger), 40 to 50 (middle-aged), and 60 to 70 years old (older). Sixteen late-model Honda Accords were used as research vehicles and were driven by participants as their personal vehicles over the study period. Roughly the first 2 weeks of vehicle use comprised the baseline driving period, during which the IVBSS technologies were turned off (i.e., no warnings were presented to the drivers) but all onboard data were collected. For this article, only data from the baseline period were analyzed to limit any confounding effects that the safety technology may have had on driving behavior.Results: Results indicated that when looking at age independent of sex, older drivers (age 60-70) took fewer trips, drove fewer minutes, were less likely to drive at night, and had fewer high decelerations and speeding events than the youngest age group (20-30). They were also less likely to drive during peak morning traffic and on high-speed roads than their middle-age counterparts (40-50). Across all age groups, there were few differences by sex, with the exception that females drove fewer miles and fewer minutes and had fewer high decelerations than males. When both age and sex were taken into account, it was often the group of females age 60-70 that appeared to account for many of the age and sex differences found in driving exposure and patterns.Conclusions: Future research in this area would benefit from larger scale and longitudinal study designs so that changes in driving exposure and patterns over time among large samples of drivers could be examined. [ABSTRACT FROM AUTHOR]

• From among all road fatalities during the 10-year period 2010–2019, 12% of the crashes were suicide (male-to-female ratio 4.3) and 29% attributable to acute disease (male-to-female ratio 8.7). • In 9% of acute disease-triggered crashes another road user was injured. • About half of the crashes were attributed to a manoeuvre performed by the older driver him or herself (male-to-female ratio 3.8). • In the main, there were no remarkable changes in the relative proportion of those circumstances/triggers over time. • The promotion of mobility and safety of drivers must include all triggers of road deaths, not least among older drivers. Road traffic fatalities among drivers result not only from erroneous driving manoeuvres. They can also be triggered by poor mental or physical health like suicidal acts and acute disease attacks, the latter being more frequent with age. There are few studies comprising all the different triggers of fatal crashes among older drivers and on how these triggers evolve over time. This Swedish national study aims to investigate this, considering drivers 50+ years. For the period 2010–2019, data on non-commercial car drivers aged 50 and older were extracted from the Swedish Transport Administration's in-depth studies of fatal crashes, compiled in a register encompassing all road traffic fatalities. The crash triggers reported were classified as suicide, acute disease, own manoeuvre (single or other type of crash), external, and undetermined. Total and annual frequencies were presented by crash trigger, overall and stratified by sex and age groups. In total, 762 fatalities were identified and with 709 of them, it was possible to classify the crash trigger: 12% resulting from suicide; 29% from acute disease; 49% from the driver's own manoeuvre; and 10% from an external crash trigger. Suicides increased from 9% in average 2010–2014 to 15% in 2015–2019 while acute disease decreased (from 32% to 27%). The overall male-to-female ratio was 4.5, and as high as 8.7 for acute disease. The relative importance of each trigger varied with age with, for instance, acute disease being more frequent in the two younger age groups; 31% for 50–64 and 52% for 65–79 years old drivers, while own manoeuvre was more prominent for drivers aged 80 and older (23%). The distribution of the four different triggers of road traffic fatalities varies only slightly over time and, a majority are triggered by the driver's own manoeuvre. However, a substantial proportion, about four out of ten, are triggered by a health condition, of which some are suicide but the major part an acute disease, mainly cardiovascular. In some instances, such crashes can be harmful to other road users. Having in mind the need for safety and mobility of older drivers and the protection of all road users, there is a need for the promotion of road safety policies that encompass a wider range of measures to help reducing the likelihood of fatal and severe crashes to happen e.g., targeting incapacitated drivers. [ABSTRACT FROM AUTHOR]

• We examined the accuracy of on-road self-assessments in older drivers. • 75% of older drivers showed an accurate on-road self-assessment. • 25% of older drivers overestimated their on-road driving performance. • Overestimators showed an increased prospective accident risk. • Overestimators appear to represent a risk group. Older drivers often show less precise self-ratings with a tendency to overestimate themselves. It is unclear, however, how overestimators differ from underestimators or drivers with adequate self-ratings. 59 healthy older drivers participated in this on-road study. Besides standardized on-road driving assessment, the study protocol included the collection of neuropsychological and driving-related data as well as different self-ratings. Statistical analyses involved correlations between different subjective and objective ratings as well as statistical comparisons between drivers who overestimated and drivers who adequately rated their on-road driving performance (no drivers underestimated their performance). Despite positive correlations between different self- and expert ratings, our results revealed that 25 % of the participants overestimated their on-road driving skills. Among other things, overestimators showed poorer on-road driving performances, more prospective near and minor at-fault accidents, poorer cognitive performances in specific driving-related domains and reduced annual mileage. Our results suggest that older drivers who overestimate their driving skills show poorer performances within a broad range of skills that directly reflect or are closely related to driving safety. Against the background that an adequate self-assessment is required by German traffic regulations, our findings suggest that overestimators represent a risk group among the population of older drivers. [ABSTRACT FROM AUTHOR]

Objective: Computerized training for cognitive enhancement is of great public interest, however, there is inconsistent evidence for the transfer of training gains to every day activity. Several large trials have focused on speed of processing (SOP) training with some promising findings for long-term effects on daily activity, but no immediate transfer to other cognitive tests. Here, we examine the transfer of SOP training gains to cognitive measures that are known predictors of driving safety in older adults.Methods: Fifty-three adults aged 65–87 years who were current drivers participated in a two group non-randomized design with repeated measures and a no-contact matched control group. The Intervention group completed an average of 7.9 (SD = 3.0) hours of self-administered online SOP training at home. Control group was matched on age, gender and test-re-test interval. Measures included the Useful Field of View (UFOV) test, a Hazard Perception test, choice reaction time (Cars RT), Trail Making Test B, a Maze test, visual motion threshold, as well as road craft and road knowledge tests.Results: Speed of processing training resulted in significant improvement in processing speed on the UFOV test relative to controls, with an average change of -45.8 ms (SE = 14.5), and effect size of ω2 = 0.21. Performance on the Maze test also improved, but significant slowing on the Hazard Perception test was observed after SOP training. Training effects on the UFOV task was associated with similar effects on the Cars RT, but not the Hazard Perception and Maze tests, suggesting transfer to some but not all driving related measures. There were no effects of training on any of the other measures examined.Conclusion: Speed of processing training effects on the UFOV task can be achieved with self-administered, online training at home, with some transfer to other cognitive tests. However, differential effects of training may be observed for tasks requiring goal-directed search strategies rather than diffuse attention.

IATSS Research Vol. 38, no. 1 2014: “Designing Mobility for the Coming Age” Esko Keskinen, University of Turku, Finland Education for older drivers in the future Five presumptions have to be considered when addressing future education for older drivers: 1. Driving a car will continue to be one element of mobility in the future; 2. Older people want to be able to keep driving; 3. Safety will be an even more important factor in mobility in the future; 4. Ecological values will be more important in the future; and 5. Innovative technological applications will be more important in the future. Hierarchical models of driving are suitable in increasing understanding of older drivers' needs and abilities. The highest levels of the driving hierarchy in the Goals for Driver Education (GDE) model are especially important for the safety of both young and elderly drivers. In these highest levels goals for life, skills for living, and social environment affect everyday decision making in general but also driving, which has an impact on driver safety. Giving up driving is very much a social decision and should be taken as such. However, the highest levels of the driving hierarchy are by nature inaccessible to teacher-centered instruction These levels require more coaching-like education methods where the learner takes the central role and the teacher helps the drivers understand their own abilities and limitations in traffic. Testing and selecting older drivers to enhance safety is not, according to research findings, working in a proper way. Older drivers do not so much need more information concerning traffic rules, etc., but rather better understanding of themselves, their health restrictions, their skills, and their abilities to ensure daily mobility. Their closest companions also need tools to help them in discussions of traffic safety issues affecting older drivers.

Losing the capacity to drive due to age-related cognitive decline can have a detrimental impact on the daily life functioning of older adults living alone and in remote areas. Semi-autonomous vehicles (SAVs) could have the potential to preserve driving independence of this population with high health needs. This paper explores if SAVs could be used as a cognitive assistive device for older aging drivers with cognitive challenges. We illustrate the impact of age-related changes of cognitive functions on driving capacity. Furthermore, following an overview on the current state of SAVs, we propose a model for connecting cognitive health needs of older drivers to SAVs. The model demonstrates the connections between cognitive changes experienced by aging drivers, their impact on actual driving, car sensors’ features, and vehicle automation. Finally, we present challenges that should be considered when using the constantly changing smart vehicle technology, adapting it to aging drivers and vice versa. This paper sheds light on age-related cognitive characteristics that should be considered when developing future SAVs manufacturing policies which may potentially help decrease the impact of cognitive change on older adult drivers.

Introduction Driving self-regulation is considered a means through which older drivers can compensate for perceived declines in driving skill or more general feelings of discomfort on the road. One form of driving self-regulation is situational avoidance, the purposeful avoidance of situations perceived as challenging or potentially hazardous. This study aimed to validate the Situational Avoidance Questionnaire (SAQ, Davis, Conlon, Ownsworth, & Morrissey, 2016) and identify the point on the scale at which drivers practicing compensatory avoidance behavior could be distinguished from those whose driving is unrestricted, or who are avoiding situations for other, non-compensatory reasons (e.g., time or convenience). Method Seventy-nine Australian drivers ( M age = 71.48, SD = 7.16, range: 55 to 86 years) completed the SAQ and were classified as a compensatory-restricted or a non-restricted driver based on a semi-structured interview designed to assess the motivations underlying avoidance behavior reported on the SAQ. Results Using receiver-operator characteristic (ROC) analysis, the SAQ was found to have high diagnostic accuracy (sensitivity: 85%, specificity: 82%) in correctly classifying the driver groups. Group comparisons confirmed that compensatory-restricted drivers were self-regulating their driving behavior to reduce the perceived demands of the driving task. This group had, on average, slower hazard perception reaction times, and reported greater difficulty with driving, more discomfort when driving due to difficulty with hazard perception skills, and greater changes in cognition over the past five years. Conclusions The SAQ is a psychometrically sound measure of situational avoidance for drivers in baby boomer and older adult generations. Practical applications Use of validated measures of driving self-regulation that distinguish between compensatory and non-compensatory behavior, such as the SAQ, will advance our understanding of the driving self-regulation construct and its potential safety benefits for older road users. [ABSTRACT FROM AUTHOR]

Objective: The objective of this study was to examine the effectiveness of rearview cameras, rear parking sensors, and both systems combined in preventing police-reported backing crashes.Methods: Negative binomial regression was used to compare rates of police-reported backing crash involvements per insured vehicle year in 22 U.S. states during 2009-2014 between passenger vehicle models with backing technologies and the same vehicle models where the optional systems were not purchased, controlling for other factors affecting crash risk. Rearview cameras were examined from four automakers, rear parking sensors from 2 automakers, and both systems combined from a single automaker.Results: Rearview cameras reduced backing crash involvement rates by 17%. Reductions were larger for drivers 70 and older (36%) than for drivers younger than 70 (16%); however, estimates for older and younger drivers did not differ significantly from one another. The Buick Lucerne's rear parking sensor system reduced backing crash involvement rates significantly by 34%, but the reduction for Mercedes-Benz vehicles fit with a sensor system was small and not statistically significant. When averaged between the 2 automakers, effects were significantly larger for drivers 70 and older (38% reduction) than for drivers younger than 70 (1% increase); effects were significant for older but not younger drivers. Backing crash involvement rates were 13% lower among Mercedes-Benz vehicles with a rearview camera and parking sensors than among vehicles without, but this finding was not significant.Discussion: Rearview cameras are effective in preventing police-reported backing crashes. Effects of rear parking sensors are less straightforward; it is unclear whether the Buick Lucerne system's benefits are due to the older age of its drivers, characteristics of the vehicle or system, or a combination. Systems may be especially beneficial to older drivers who might have limitations that make backing challenging. Although effect estimates did not differ significantly between older and younger drivers for both system types, the magnitude of the differences was large and the pattern of results was consistent across 6 of the 7 systems examined. When rear visibility systems become required equipment on new passenger vehicles in 2018, rearview cameras can be expected to prevent 1 in 6 backing crashes reported to police that involve equipped vehicles. [ABSTRACT FROM AUTHOR]

Glare from oncoming headlights is a problem for nighttime drivers because it can decrease visual acuity and cause discomfort. This diminished visual ability and discomfort due can increase drivers' risk for traffic accidents. Older drivers experience more severe detrimental effects from nighttime glare, and these effects may pose a growing roadway hazard as the number of older drivers increases. The increased brightness of popular high-intensity-discharge (HID) headlights may further exacerbate these visibility problems. In a sample of younger (under 40 years of age) and older (40 years of age and older) drivers, we examined the impact of headlight glare from HID and traditional halogen lights on driving performance in a simulator, as well as the effectiveness of novel polarized glare-reducing eyeglasses for mitigating glare-induced performance deficits. The glare-reducing glasses increased visual awareness in the face of oncoming HID headlights compared to halogen headlights in both age groups. Older drivers performed significantly worse than did younger drivers on several measures of driving and visual detection performance. The glare-reducing glasses mitigated performance deficits, with older drivers performing similarly to younger drivers when exposed to HID headlights while wearing the polarized glasses. Due to the introduction of brighter LED-based headlights to the consumer automotive market and an expanding population of older drivers, automotive manufactures should consider glare-mitigation strategies when designing future headlight systems. [ABSTRACT FROM AUTHOR]

Objective: Computerized training for cognitive enhancement is of great public interest, however, there is inconsistent evidence for the transfer of training gains to every day activity. Several large trials have focused on speed of processing (SOP) training with some promising findings for long-term effects on daily activity, but no immediate transfer to other cognitive tests. Here, we examine the transfer of SOP training gains to cognitive measures that are known predictors of driving safety in older adults. Methods: Fifty-three adults aged 65-87 years who were current drivers participated in a two group non-randomized design with repeated measures and a no-contact matched control group. The Intervention group completed an average of 7.9 (SD D 3.0) hours of self-administered online SOP training at home. Control group was matched on age, gender and test-re-test interval. Measures included the Useful Field of View (UFOV) test, a Hazard Perception test, choice reaction time (Cars RT), Trail Making Test B, a Maze test, visual motion threshold, as well as road craft and road knowledge tests. Results: Speed of processing training resulted in significant improvement in processing speed on the UFOV test relative to controls, with an average change of =45.8 ms (SE D 14.5), and effect size of ω² D 0.21. Performance on the Maze test also improved, but significant slowing on the Hazard Perception test was observed after SOP training. Training effects on the UFOV task was associated with similar effects on the Cars RT, but not the Hazard Perception and Maze tests, suggesting transfer to some but not all driving related measures. There were no effects of training on any of the other measures examined. Conclusion: Speed of processing training effects on the UFOV task can be achieved with self-administered, online training at home, with some transfer to other cognitive tests. However, differential effects of training may be observed for tasks requiring goaldirected search strategies rather than diffuse attention. [ABSTRACT FROM AUTHOR]

We investigated whether traits from the five-factor model of personality traits (Extraversion, Neuroticism, Agreeableness, Conscientiousness, and Openness-to-Experience) were associated with driving self-regulation – specifically, situational driving frequency (SDF) and situational driving avoidance (SDA). Using data from 324 participants (185 men, 139 women, aged 72–92 years), collected as part of the Canadian Driving Research Initiative for Vehicular Safety in the Elderly study, we examined associations between each personality trait and driving self-regulation (SDF and SDA). Crude associations between personality factors and self-restriction highlighted the relevance of Extraversion, Conscientiousness, Neuroticism, and Openness-to-Experience. However, after controlling for common predictors of driving behaviour (including demographic variables, driving-related psychosocial measures, cognitive measures, and a measure of depression), only Extraversion was positively associated with SDF ( p = 0.012), accounting for a small amount of additional variance (i.e., 1.3%). Future research is required to further elucidate the relationship between personality and objective measures of self-regulation among older drivers. [ABSTRACT FROM AUTHOR]

Aim To describe population-level characteristics of drivers and non-drivers in a cohort of older Australians and identify predictors of driving cessation and expectations. Methods The sample comprised the oldest cohort of the PATH Through Life project who were assessed 4 times between 2001 and 2013. At waves 3 and 4 questions on driving were included in the study interview. Data were also collected on health, physical and cognitive function and psychosocial wellbeing. Descriptive analyses compared drivers and non-drivers on sociodemographic, health and functional variables and regression models identified predictors of cessation and driving expectations. Results 92.5% of the sample were current drivers. They reported better physical, mental and cognitive health than non-drivers. Drivers expected to drive for another 12.6 years, the majority drove 6+ days per week. Four percent of the sample ceased driving over the four year follow-up. Predictors of cessation were financial problems, driving expectations and driving fewer kilometres per week. Predictors of expectations were poorer self-rated health, mastery, difficulties reading maps, self-rated visual function, years of driving experience, and fewer kilometres driven per week. Conclusion Driving is normative for many older Australians in their 70s. Similar factors are associated with actual cessation and expectation of driving suggesting that older adults do have a sense of their expected driving life. [ABSTRACT FROM AUTHOR]

Objectives: Aging entails deterioration in sensory, physical, and cognitive functions, raising doubt in the driving capacity of older drivers, especially when the deficits are severe, as in dementia. Many older drivers, especially women, adapt their driving habits in order to compensate for these deficits and eventually stop driving. The present prospective study assessed driving cessation in men and women throughout the dementia process, including a 2-year pre-dementia phase.Methods: The study was based on a three-city cohort of subjects who were aged 65 years and older in 2000 and followed for more than 10 years. Active dementia detection was conducted at each follow-up. The probability of driving cessation was assessed in men and women during the 2-year pre-dementia phase and until 5 years after diagnosis.Results: In the 2-year pre-dementia phase, both men and women ceased driving earlier than drivers with no central nervous system pathology (p < 0,001), and women ceased driving earlier than men. A total of 45% of men and 74% of women had already ceased driving at dementia diagnosis. In contrast, the probability of cessation within 3 years after diagnosis was similar between men and women.Conclusion: The study showed that, in this French urban population, few demented drivers, especially women, were still driving after diagnosis. Those who continued to drive 3 years after the diagnosis all had Alzheimer-type dementia. There is certainly a need for physicians to help these drivers to adapt their driving activity to their deficits and to prepare them to stop driving. Copyright © 2016 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]

In many areas of the world, driving is an essential part of life and for reasons of comfort, convenience, and security remains the primary mode of transportation among older adults. Both normal aging and diseases that are more prevalent in advanced age can substantially reduce older drivers' functional abilities, elevating their risk of involvement in motor vehicle accidents and serious injury or death. Identifying and intervening with older drivers at increased crash risk is an important aspect of preventive medicine. The authors discuss the specific driving risks adults face as they age and how nurses can raise older patients' awareness of these risks. They also discuss the importance of connecting older adults to community resources that may help them continue driving safely for a longer period or find alternative transportation options. [ABSTRACT FROM AUTHOR]

High-level vehicle automation has been proposed as a valuable means to enhance the mobility of older drivers, as older drivers experience age-related declines in many cognitive functions that are vital for safe driving. Recent research attempted to examine age differences in how engagement in non-driving-related activities impact driving performance, by instructing drivers to engage in mandatory pre-designed activities. While the mandatory engagement method allows a precise control of the timing and mental workload of the non-driving-related activities, it is different from how a driver would naturally engage in these activities. This study allowed younger (age 18–35, mean age = 19.9 years) and older drivers (age 62–81, mean age = 70.4 years) to freely decide when and how to engage in voluntarily chosen non-driving-related activities during simulated driving with conditional automation. We coded video recordings of participants’ engagement in non-driving-related activities. We examined the effect of age, level of activity-engagement and takeover notification interval on vehicle control performance during the takeover, by comparing between the high and low engagement groups in younger and older drivers, across two takeover notification interval conditions. We found that both younger and older drivers engaged in various non-driving-related activities during the automated driving portion, with distinct preferences on the type of activity for each age group (i.e., while younger drivers mostly used an electronic device, older drivers tended to converse). There were also significant differences between the two age groups and between the two notification intervals on various driving performance measures. Older drivers benefited more than younger drivers from the longer interval in terms of response time to notifications. Voluntary engagement in non-driving-related activities did not impair takeover performance in general, although there was a trend of older drivers who were more engaged in non-driving-related activities braking harder than those with low activity-engagement during the takeover. [ABSTRACT FROM AUTHOR]

Older adults are the fastest growing segment of the driving population. While there is a strong emphasis for older people to maintain their mobility, the safety of older drivers is a serious community concern. Frailty and declines in a range of age-related sensory, cognitive, and physical impairments can place older drivers at an increased risk of crash-related injuries and death. A number of studies have indicated that in-vehicle technologies such as Advanced Driver Assistance Systems (ADAS) and In-Vehicle Information Systems (IVIS) may provide assistance to older drivers. However, these technologies will only benefit older drivers if their design is congruent with the complex needs and diverse abilities of this driving cohort. The design of ADAS and IVIS is largely informed by automotive Human Machine Interface (HMI) guidelines. However, it is unclear to what extent the declining sensory, cognitive and physical capabilities of older drivers are addressed in the current guidelines. This paper provides a review of key current design guidelines for IVIS and ADAS with respect to the extent they address age-related changes in functional capacities. The review revealed that most of the HMI guidelines do not address design issues related to older driver impairments. In fact, in many guidelines driver age and sensory cognitive and physical impairments are not mentioned at all and where reference is made, it is typically very broad. Prescriptive advice on how to actually design a system so that it addresses the needs and limitations of older drivers is not provided. In order for older drivers to reap the full benefits that in-vehicle technology can afford, it is critical that further work establish how older driver limitations and capabilities can be supported by the system design process, including their inclusion into HMI design guidelines. [ABSTRACT FROM AUTHOR]

To reduce exposure to risky and challenging driving situations and prolong mobility and independence, older drivers self-regulate their driving behavior. But self-regulation can be challenging because it depends on drivers’ ability to assess their limitations. Studies using self-reports, survey data, and hazard and risk perception tests have shown that driving behavior feedback can help older drivers assess their limitations and adjust their driving behavior. But only limited work has been conducted in developing feedback technology interventions tailored to meet the information needs of older drivers, and the impact these interventions have in helping older drivers self-monitor their driving behavior and risk outcomes. The vehicles of 33 drivers 65 years and older were instrumented with OBD2 devices. Older drivers were provided access to customized web-based Trip Diaries that delivered post-trip feedback of the routes driven, low-risk route alternatives, and frequency of their risky driving behaviors. Data were recorded over four months, with baseline driving behavior collected for one month. Generalized linear mixed effects regression models assessed the effects of post-trip feedback on the route risk and driving behaviors of older drivers. Results showed that post-trip feedback reduced the estimated route risk of older drivers by 2.9% per week, and reduced their speeding frequency on average by 0.9% per week. Overall, the Trip Diary feedback reduced the expected crash rate from 1 in 6172 trips to 1 in 7173 trips, and the expected speeding frequency from 46% to 39%. Thus providing older drivers with tailored feedback of their driving behavior and crash risk could help them appropriately self-regulate their driving behavior, and improve their crash risk outcomes. [ABSTRACT FROM AUTHOR]

The first aim of this study was to investigate predictors of future traffic crash involvement, taking into account bias in the handling of data for former drivers. The second aim was to compare characteristics of former drivers and crash-involved drivers in order to gain an understanding of appropriate driving cessation among older drivers. In all, 154 drivers aged 70 years or older participated in the baseline interview and the follow-up survey conducted two years later. In the baseline interview, participants were asked to respond to a questionnaire, take the Useful Field of View test ® (UFOV), and complete the Mini-Mental State Examination. In the follow-up survey, participants were asked by mail or telephone whether they had stopped driving. Participants reporting that they still drove were invited to participate in a subsequent interview. Based on the information obtained in the follow-up survey, participants were classified as follows: driving cessation group ( n = 26); crash-involved group ( n = 18); and crash-free group ( n = 110). A multinomial logistic regression was then used to analyse the data. Contrary to the results of previous studies, we found older age to be associated with crash involvement but not with driving cessation. The cessation group had more decreased cognitive processing speed than the crash-involved and crash-free groups. Crash history was also predictive of crash involvement. Participants who were subject to license renewal between baseline and follow-up had a greater tendency to continue driving. Results suggested that age and crash history could potentially identify high-risk older drivers. The predictive power of cognitive processing speed is reduced under certain conditions. License-renewal procedures may induce Japanese older adults to continue driving. Future studies should use a large national sample to confirm the results of the present study. [ABSTRACT FROM AUTHOR]