Driver Visual Behavior in the Presence of Commercial Electronic Variable Message Signs (CEVMS)

Perez, William A.; Bertola, Mary Anne; Kennedy, Jason F.; Molino, John A. · 2011 · ROSA P / United States. Department of Transportation. Federal Highway Administration. Office of Real Estate Services

archive: archived pipeline: cataloged verified

Get this paper ↗ (full text — opens at the source; we link to it, we don't host it)

Summary

This study investigates the impact of Commercial Electronic Variable Message Signs (CEVMS), commonly known as digital billboards, on driver visual behavior and safety. The research was motivated by the introduction of LED billboard technology and concerns that their dynamic nature might distract drivers more than conventional static billboards. Previous literature yielded mixed results, with some studies lacking sufficient resolution to identify specific gaze targets or failing to replicate current U.S. deployment conditions. The Federal Highway Administration (FHWA) commissioned this study to determine if CEVMS warrant distinct regulatory treatment based on empirical evidence of distraction. The researchers employed an instrumented field research vehicle equipped with a high-resolution eye-tracking system (Smart Eye) capable of approximately 2-degree accuracy. Two experiments were conducted in separate cities (Reading, PA, and Richmond, VA) to account for variations in the roadway visual environment. Participants drove routes containing CEVMS, standard static billboards, and control areas without off-premise advertising. The study measured driver glances during both daytime and nighttime conditions. Researchers also quantified the photometric properties of the signs (luminance and contrast) and assessed the overall visual complexity of the roadside environment using subband entropy measures. The primary metrics analyzed included the percentage of time spent looking at the signs versus the road ahead, the duration of individual glances, and the frequency of long glances exceeding safety thresholds. The results indicated that drivers looked at CEVMS a greater percentage of time than at standard billboards; however, the total time spent looking at any off-premise advertising remained low, accounting for less than 5 percent of driving time when signs were visible. Crucially, long glances indicative of significant distraction were not evident. The longest recorded glance at a CEVMS was under 1.3 seconds, and glances exceeding one second were rare events. Furthermore, the presence of CEVMS or standard billboards did not significantly reduce the percentage of time drivers dedicated to looking at the road ahead. Instead, the data revealed that the overall visual complexity and clutter of the highway environment were the principal drivers of glance behavior away from the road, regardless of whether advertising was present. The study concludes that there is no empirical basis for regulating CEVMS differently from standard billboards based on visual distraction risks. The findings suggest that CEVMS, as currently deployed in the United States without dynamic video elements, do not pose a safety risk greater than conventional advertising. The significance of these results lies in highlighting that general roadside visual complexity, rather than specific sign technology, influences driver glance patterns. This implies that regulatory focus should consider the holistic visual environment of roadways rather than targeting specific advertising mediums.

Key finding

Drivers spent less than 5 percent of their time looking at off-premise advertising, with the longest CEVMS glances lasting under 1.3 seconds, indicating that overall visual complexity drives glance behavior rather than the signs themselves.

Methodology

field_study

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.

• external distraction
• visual
• eye movements scanning
• attention allocation
• temporal
• road complexity

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: measurement protocol, tool software