Neuropsychological predictors of safety in urban left-turn scenarios

Jeffrey D Dawson; Lixi Yu; Kuan-Hua Chen; Michelle Rusch; Amy M Johnson; Nazan S Aksan; Takashi Sunda; Machiko Hiramatsu; Steven W Anderson; Matthew Rizzo

doi:10.17077/drivingassessment.1492

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Neuropsychological predictors of safety in urban left-turn scenarios

Conference proceeding

Open access

Neuropsychological predictors of safety in urban left-turn scenarios

Jeffrey D Dawson, Lixi Yu, Kuan-Hua Chen, Michelle Rusch, Amy M Johnson, Nazan S Aksan, Takashi Sunda, Machiko Hiramatsu, Steven W Anderson and Matthew Rizzo

Proceedings of the 7th International Driving Symposium on Human Factors in Driver Assessment, Training, and Vehicle Design, Vol.7, pp.226-232

06/2013

DOI: 10.17077/drivingassessment.1492

PMCID: PMC4850494

PMID: 27135059

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Abstract

Left turns at urban intersections can be dangerous, especially when views are obstructed or pedestrians are present. Impairments in driver vision, motor, and cognition functions may further increase left-turn risk. We examined this problem in a simulated environment that included left-turn scenarios to study the driving behaviors of 28 drivers, ages 37 to 88 years, six of whom had "Useful Field of View" (UFOV) impairments. Subjects also completed a battery of neuropsychological tests. The simulated drive included an urban section with six left turns in three types of scenarios: 1) a semi truck blocking the view of oncoming traffic, 2) a lead vehicle obstruction, and 3) a pedestrian crossing ahead of the turning driver. Results showed a mean (SD) of 1.46 (1.60) collisions per driver (range 0 to 7), 83% of which occurred at intersections with semi trucks. Far visual acuity, contrast sensitivity, UFOV, Mini Mental State Examination, Trail-Making Test Part B, the Wisconsin Card Sort task, and age were all associated with the total number of collisions (Pearson correlation magnitudes between 0.37 to 0.77; p-values<0.05). Spearman correlations were less significant. Findings indicate that visual obstruction by on oncoming semi-truck is a particularly dangerous left-turn situation.

Details

Title: Subtitle: Neuropsychological predictors of safety in urban left-turn scenarios
Creators: Jeffrey D Dawson - Dept. of Biostatistics, Univ. of Iowa College of Public Health, Iowa City, Iowa, USA
Lixi Yu - Dept. of Biostatistics, Univ. of Iowa College of Public Health, Iowa City, Iowa, USA
Kuan-Hua Chen - Dept. of Neurology, Univ. of Iowa Carver College of Medicine, Iowa City, Iowa, USA
Michelle Rusch - Dept. of Neurology, Univ. of Iowa Carver College of Medicine, Iowa City, Iowa, USA
Amy M Johnson - Dept. of Biostatistics, Univ. of Iowa College of Public Health, Iowa City, Iowa, USA
Nazan S Aksan - Dept. of Neurology, Univ. of Iowa Carver College of Medicine, Iowa City, Iowa, USA
Takashi Sunda - Nissan Research Center, Nissan Motor Co., Ltd., Japan
Machiko Hiramatsu - Nissan Research Center, Nissan Motor Co., Ltd., Japan
Steven W Anderson - Dept. of Neurology, Univ. of Iowa Carver College of Medicine, Iowa City, Iowa, USA
Matthew Rizzo - Dept. of Neurology, Univ. of Iowa Carver College of Medicine, Iowa City, Iowa, USA
Resource Type: Conference proceeding
Publication Details: Proceedings of the 7th International Driving Symposium on Human Factors in Driver Assessment, Training, and Vehicle Design, Vol.7, pp.226-232
DOI: 10.17077/drivingassessment.1492
PMID: 27135059
PMCID: PMC4850494
Publisher: University of Iowa; Iowa City, Iowa, USA
Grant note: R01 AG017177 / NIA NIH HHS
Language: English
Date published: 06/2013
Academic Unit: Neurology; Public Health Administration; Law, Health Policy and Disability Center; Biostatistics; General Internal Medicine; Internal Medicine
Record Identifier: 9983997475802771

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