Exploration of Color Patterns for Improving Work Zone Safety and Perception

Wu, Hongyue; Wang, Ze; Chen, Yunfeng; Zhang, Jiansong; Jenkins, James L. · 2025 · ROSA P / Purdue University. Joint Transportation Research Program

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Summary

This study addresses the persistent safety challenges in U.S. work zones, where crash rates are 20–30% higher than on normal roads. While existing research has examined individual color factors, there is a lack of systematic investigation into how color patterns influence driver perception, information processing, and overall safety. Motivated by this gap, the researchers aimed to identify color-related root causes of crashes in Indiana work zones and evaluate specific countermeasures using human information processing theory. The methodology comprised five stages: a literature review, crash data analysis to identify representative work zones, Natural Language Processing (NLP) analysis of Indiana crash reports to isolate color-related root causes, expert interviews to propose countermeasures, and a driving simulation experiment to evaluate effectiveness. The simulation tested two scenarios—lane closure and shoulder work—under both daytime and nighttime conditions. Researchers measured driver performance through eye-tracking data (fixation number, duration, and distance), physiological indicators (pupil diameter), and driving behaviors (speed, acceleration, lateral position, and steering). Analysis of crash data identified three primary color-related root causes: poor visibility and brightness of work zone elements; insufficient color contrast between elements and the environment, particularly during road geometry or surface changes; and a lack of color variation in dangerous areas such as work zone entries. The simulation results demonstrated that a fluorescent orange sign with orange LEDs was the most effective countermeasure. In lane closure scenarios, this design attracted attention from significantly greater distances (164 feet more during the day, 153 feet more at night) compared to the original design, maintained cognitive workload, and improved steering behavior during the day. In shoulder work scenarios, it attracted attention from 515 feet further than the original design and maintained cognitive workload at night. A fluorescent orange sign with an orange beacon was also effective, particularly for attracting attention at night in both scenarios. The study concludes that time scenarios significantly impact driver attention and cognitive workload, necessitating context-specific countermeasures. The authors recommend adopting fluorescent orange signs with orange LEDs for both lane closure and shoulder work scenarios to enhance perception and cognition. For lane closures, the orange beacon alternative is recommended for nighttime perception and daytime cognition. These findings provide preliminary evidence for evaluating new countermeasures in virtual environments before field testing, offering a framework for improving work zone safety through optimized color patterns.

Key finding

Fluorescent orange signs with orange LEDs were the most effective countermeasure for improving driver attention and cognitive workload in work zones, particularly during nighttime conditions.

Methodology

mixed_methods

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clean success 1 2026-06-01
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enrich success 1 2026-05-23
promote success 1 2026-05-23
summarize success llm qwen3.6-27b-prismaquant summ-v5 3 2026-06-10
tag success vector_similarity 19 2026-06-11
verify success 2 2026-06-10

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