Abstract: The construction of traffic tunnels face various challenges, such as low efficiency in multi-method collaboration and insufficient multisource data support for construction decisions. To address these challenges, a digital construction management model for traffic tunnels with data flow as the core driver is constructed. By establishing a data closed-loop circulation mechanism, a data value transformation model is proposed, a digital management platform for traffic tunnels that supports dynamic decision-making is developed, and empirical research based on actual engineering projects is performed. The results show the following: (1) By establishing a  "collection-processing-analysis-service" data closed-loop system, the contradiction between the dynamic nature of traffic tunnel engineering data and the structured nature of business requirements is effectively resolved, resulting in an approximately 60% increase in data utilization rate. (2) By establishing a "data-information-knowledge-wisdom" value transformation model for traffic tunnel projects and developing a decision-making command engine based on data analysis, the response speed of key decisions has been reduced from hourly level to minute level. (3) By integrating building information modeling, geographic information system, and Internet of Things technologies, solutions such as electronic sand maps, high-precision positioning of tunnels, and monitoring of structural deformations are achieved. A digital mirror image covering elements like personnel, machinery, and environment is constructed, which increases the efficiency of resource allocation in traffic tunnel projects by approximately 40% and enhances the emergency response speed by about 3 times compared to conventional methods. The research results verify the value of integrating the new generation of information technology in traffic tunnel projects, providing a new management paradigm for the intelligent construction field, and thus promoting the transformation of tunnel project management from experience driven to data driven.

Key words: traffic tunnel, data flow, engineering management, electronic information