To meet the systematic assessment needs for highway tunnel traffic accident risks, this study has constructed a tunnel safety risk assessment system based on the Likelihood-Consequence (LC) method. By integrating operational data on "people, management, design, and environment" from tunnels across multiple regions, a multidimensional assessment framework encompassing static, quasi-dynamic, and dynamic indicators has been established. This model has been applied to empirical analysis of three typical national highway tunnels in Yunnan, Jiangsu, and Hunan. The results indicate significant differences in risk characteristics among different tunnels. The model achieves an accuracy rate of 85.7%, effectively identifying key risk sources such as road surface skid resistance and speeding behavior. This study has achieved a scientific assessment of tunnel risks from qualitative to quantitative levels, providing a decision-making basis for precise safety management. It also offers insights into the construction of smart tunnels and the intelligentization of risk assessment.

Zhang Yi. Analysis of the Relationship between Highway Tunnel Traffic Volume and Traffic Accidents—An Empirical Study Based on Multi-Regional Tunnel Operation Data. Academic Journal of Engineering and Technology Science (2026), Vol. 9, Issue 2: 131-135. https://doi.org/10.25236/AJETS.2026.090218.

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