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Driver cognitive load significantly influences road safety and the risk of traffic-related accidents. A recent study has investigated how the informational density of urban guide signs affects a motorist's ability to process vital data. When signs contain excessive information, drivers often struggle to allocate their attention correctly. Consequently, they may miss critical road instructions, which increases the likelihood of dangerous errors on the road.
To evaluate these effects, researchers used an integrated approach featuring both simulation experiments and real-world vehicle tests. They established a specific model to calculate the information volume of guide signs while recording physiological indicators from drivers. The results suggest that driver cognitive load remains at a safe level when sign information volume is strictly controlled. Specifically, signs on arterial roads should contain less than 90 bits of information. Meanwhile, signs on secondary distributor roads should stay below 95 bits to ensure accurate visual recognition.
Furthermore, the study highlights the importance of information density over time. Drivers experience relatively low mental strain when the density is below 9.1 bits per second. However, once the density exceeds 10.7 bits per second, cognitive load increases sharply. Therefore, to maintain driving comfort and safety, engineers should ensure that information density does not exceed 12.0 bits per second. These findings offer practical guidance for urban planners to optimize sign design and reduce the mental burden on motorists.
High informational density on road signs increases driver cognitive load. This makes it difficult for drivers to process information quickly, leading to missed signs and a higher risk of accidents.
The study recommends that single guide signs should stay below 90 bits for arterial roads and 95 bits for secondary roads. Information density should ideally remain under 9.1 bits per second for optimal safety.
Disclaimer: This content is for informational and educational purposes only. It does not constitute medical or professional advice. Refer to the latest local and national guidelines for clinical practice.
References
Meng Y et al. The impact of guide sign informational density on driver cognitive load: An integrated simulator and real-world driving study. Traffic Inj Prev. 2026 Feb 26. doi: 10.1080/15389588.2025.2588466. PMID: 41747273.
Lyu et al. Analysis of Traffic Signs Information Volume Affecting Driver's Visual Characteristics and Driving Safety. MDPI Journal. 2022.
Guo Z et al. The expressway traffic sign information quantity threshold and AGS position based on driving behaviour. Transportation Research Procedia. 2016.

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