The Combination of Two Training Approaches to Improve Older Adults' Driving Safety

Bédard, Michel; Porter, Michelle M.; Marshall, Shawn; Isherwood, Ivy; Riendeau, Julie; Weaver, Bruce; Tuokko, Holly; Molnar, Frank; Miller-Polgar, Jan

doi:10.1080/15389580701670705

Cited by 75 publications

(84 citation statements)

References 37 publications

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“…Similarly, Bédard and colleagues (2004), examined a widely-used educational intervention and found that the training did not result in significant improvements during an on-road evaluation. There is some evidence that educational programs combined with other components, such as on-road training (Marottoli et al, 2007b;Bédard et al, 2008) may improve onroad driving.…”

Section: Approaches To Preventionmentioning

confidence: 99%

Road safety in an aging population: risk factors, assessment, interventions, and future directions

Anstey

Eramudugolla

Ross

et al. 2016

Int. Psychogeriatr.

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With the number of older drivers projected to increase by up to 70% over the next 20 years, preventing injury resulting from crashes involving older drivers is a significant concern for both policy-makers and clinicians. While the total number of fatal crashes per annum has steadily decreased since 2005 in Australia, the rate of fatalities has demonstrated an upward trend since 2010 in drivers aged 65 years and above (8.5 per 100,000), such that it is now on par with the fatality rate in drivers aged 17–25 years (8.0 per 100,000) (Austroads, 2015). Similar statistics are reported for the United States (NHTSA, 2012), implying there is a need for better identification of those older drivers who are unsafe and implementation of strategies that can enhance mobility while maximizing road safety.

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Section: Approaches To Preventionmentioning

confidence: 99%

Road safety in an aging population: risk factors, assessment, interventions, and future directions

Anstey

Eramudugolla

Ross

et al. 2016

Int. Psychogeriatr.

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“…Control of lane position is one aspect of driving which is not captured adequately by observational measures of driving behaviour: it is often scored using a scale ranging from "good" to "bad" Akinwuntan, De Weerdt, et al, 2005) or via the accumulation of violation points scored by the examiner (Bédard et al, 2008). Such measures may capture extreme errors in position (i.e.…”

Section: Steering Controlmentioning

confidence: 99%

Looking to the future of visual assessment using driving simulation

Wilkie

Mole

2017

Scand J Optom Vis Sci

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Visual function is considered uniquely important for driving because it provides multiple critical sources of information that when combined ensures successful steering. There are, however, additional cognitive functions that are essential for the driver to be able to dynamically respond to the world and make predictions about the scene, as well as the behaviour of other road users. Given the complexity of driving through a busy urban environment it should be no surprise that simple tests of visual acuity seem to have weak explanatory power in terms of increased crash risk when driving. Despite this, fitness to drive still includes a formal assessment of visual acuity, with poor scores being used to revoke the driving licence. The "gold standard" measure of driving ability remains the on-road driving test but compared to visual tests they are fairly uncontrolled, susceptible to great variation depending on the road conditions, and are unable to reliably detect subtle visual deficits. To address some of the limitations of these existing tests we use examples from two simulator settings (steering control and hazard detection) that highlight the merits of using driving simulation in order to control the visual conditions and probe specific functional capabilities of drivers. When used in conjunction with visual tests these methods will not only determine whether the core functions of driving are intact but also be able to provide richer feedback to individuals about the nature of their deficits. There are many exciting possibilities using simulation techniques to establish predictive relationships between routine visual testing and driving performance, ultimately aiming for better, more reliable assessment of fitness to drive. SammendragSynsfunksjonen betraktes som enestående viktig for bilkjøring fordi den bidrar til flere kritiske informasjonskilder som sammen sikrer trygg kontroll av bilen. Men det finnes i tillegg andre kognitive funksjoner som er nødvendige for at en bilfører skal kunne reagere dynamisk og kunne forutse både hendelser i trafikkbildet og andre trafikanters handlinger. Tatt i betraktning kompleksiteten av å kjøre i trafikkerte, tettbygde strøk, er det ikke overraskende at en enkel test av synsstyrke sjelden kan forklare fullstendig risikoen for kollisjoner ved bilkjøring. Til tross for dette brukes fortsatt synsstyrke som et mål i den formelle undersøkelsen når man skal avgjøre om en person er egnet til å føre motorvogn, og dårlige resultater på synstesten fører til inndragelse av førerkortet. Kjøreevne måles fortsatt med praktisk prøve, men sammenlignet med tester av synsfunksjonen er disse prøvene vanskelige å kontrollere, sterkt varierende avhengig av veiforholdene, og ikke i stand til å avsløre små synsdefekter. For å studere noen av begrensningene ved disse eksisterende prøvene bruker vi eksempler fra to simulatorsettinger (styrekontroll og evne til å oppdage fare) som viser fordelene med å bruke kjøresimulator for å kontrollere synsforholdene og teste bestemte funkjonelle ferdighet...

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“…Crashes and missed stops (ie., a participant failed to stop before an intersection, which includes overshoots by a few feet) were recorded by the STISIM drive software. The experimenter also assessed drivers' simulator performance (G2-rater) using the evaluation procedure employed by Bédard et al (2008).…”

Section: Driving Performance Measurementioning

confidence: 99%

Near Peripheral Motion Contrast Threshold Predicts Older Drivers' Driving Simulator Performance

Henderson¹,

Gagnon

Collin

et al. 2009

Proceedings of the 5th International Driving Symposium on Human Factors in Driver Assessment, Training, and Vehicle Design : Dr

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The Combination of Two Training Approaches to Improve Older Adults' Driving Safety

Cited by 75 publications

References 37 publications

Road safety in an aging population: risk factors, assessment, interventions, and future directions

Road safety in an aging population: risk factors, assessment, interventions, and future directions

Looking to the future of visual assessment using driving simulation

Near Peripheral Motion Contrast Threshold Predicts Older Drivers' Driving Simulator Performance

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