Abstract Objective This systematic review’s purpose is to identify neuropsychological assessments that are accurate at predicting driving behaviors in geriatric populations. The population included normal aging, mild cognitive impairment (MCI), and dementia. Data Selection PubMed and APA PsycNet databases were searched using two separate keyword searches: cognitive evaluation and driving behaviors and aging; neuropsychological test and driving behaviors and aging. The databases were searched March 10, 2024, and again on April 26, 2024. This yielded 278 articles. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) method was used to identify articles. Articles were excluded if they did not have on-road driving behaviors or simulated driving behaviors, neuropsychological test, if the average participant age was not geriatric, or if it was a non-peer reviewed article. Data Synthesis After following PRISMA selections, eight articles were included, creating a combined sample size of 927 (Mean age = 74.16, SD = 2.38; mean years of education = 14.17, SD = 1.09; female percentage = 40.78). The test deemed most correlated were Neuropsychological Assessment Battery: Driving Scene Test, Clock Drawing, Useful Field of View, Trail making task, Mini-Mental State Exam, verbal and visual memory components from the Wechsler Memory Scale, Rey-Osterrieth Complex Figure, and Maze Navigation Task. Conclusion General cognitive screening tests as well as visuomotor, visual–spatial, visual attention and verbal and non-verbal memory tests highly correlate with real driving behaviors and accurately predict on-the-road driving behaviors. This indicates the cognitive and behavioral complexity of driving. Though these tests accurately predict driving behaviors, their abilities to do so may differ depending on cultural groups.
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