Driving with Visual Field Loss: An Exploratory Simulation Study

Lockhart, Julie; Boyle, Linda Ng; Wilkinson, Mark · 2009 · ROSA P / United States. National Highway Traffic Safety Administration

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Summary

This exploratory study, conducted by the National Highway Traffic Safety Administration (NHTSA), investigates the impact of peripheral visual field loss (VFL) on driving performance. The research was motivated by the increasing prevalence of visual impairments in the aging population and the lack of empirical evidence to guide inconsistent state licensure regulations regarding minimum visual field requirements. The primary objective was to determine if drivers with VFL exhibit specific performance deficits or utilize compensatory strategies, such as increased head movements, compared to drivers with normal vision. The study utilized the National Advanced Driving Simulator (NADS), a high-fidelity motion-based simulator, to compare sixteen licensed drivers: six with VFL (horizontal visual fields <100 degrees) and ten with normal visual fields (~180 degrees). Participants completed a 14 km simulated drive comprising five scenarios: sign recognition, merging, road geometry changes, lead vehicle braking, and an intersection incursion event. Data collection included eye-tracking for glance frequency and duration, head movement analysis, and objective driving metrics such as lane position, accelerator release time, and collision avoidance. The groups were matched for driving experience, annual mileage, and self-reported crash history. Results indicated that while the groups performed similarly in sign recognition and most eye-glance behaviors, significant differences emerged in specific driving tasks. Drivers with VFL exhibited greater variability in lane maintenance, particularly on curves and when exiting the freeway, with a mean maximum lane deviation of 3.7 feet compared to 2.6 feet for the control group. In response to an unexpected intersection incursion, the VFL group took 0.86 seconds longer to release the accelerator and had a significantly smaller time-to-collision (4.44 seconds less) among those who chose to stop. Additionally, the VFL group made significantly longer glances toward the speedometer, potentially to compensate for reduced peripheral cues for speed estimation. Contrary to previous literature suggesting that drivers with VFL compensate by increasing head movements, this study found no significant difference in head movement frequency between the two groups. The findings suggest that peripheral visual field loss negatively affects specific aspects of driving performance, particularly lane keeping during complex maneuvers and reaction times to peripheral hazards. The absence of expected compensatory head movements in the VFL group indicates that these drivers may not effectively mitigate their visual deficits during simulated driving. These results provide empirical evidence supporting the need for rigorous evaluation of driving fitness in individuals with VFL and highlight the limitations of relying solely on static vision tests or self-reported behaviors for licensure decisions.

Key finding

Drivers with visual field loss showed greater lane position variability on curves and exits, along with delayed accelerator release and reduced time to collision during hazard events, but did not use increased head movements to compensate.

Methodology

simulator

Sample size: 16

Provenance

The full processing record for this entry. Every stage of this paper's journey through the pipeline is logged — what ran, with which tool and model, how many attempts it took, and when it last completed. Discovered via bulk_ingest_rosap on 2026-05-23 (6 acquisition events logged).

Summary generated by qwen3.6-27b-prismaquant on 2026-06-10; verification: verified.

Topics

Ranked by relevance to this paper. Hover a topic for its definition.

• useful field of view
• visual occlusion
• sensory abilities
• peripheral attention
• disability glare
• eye movements scanning

Information type

What kind of knowledge this paper contributes, grouped by family — independent of topic (what it is about) and method (how it was studied).

• Empirical Findings: behavioral performance data
• Methodological Resource: tool software, measurement protocol