This study aims to analyze the impact of project management factors on the construction efficiency of traffic tunnel projects using the binary logistic regression method. The project management factors considered in the study include risk management, cost control, planning, progress management, and monitoring and evaluation. The objective of the study is to assess the extent to which each of these factors influences the likelihood of success in traffic tunnel projects, thereby providing a more detailed understanding of the role of project management in ensuring construction efficiency. The research method employed is binary logistic regression, which allows for predicting the success of the project based on project management factors. Data were collected from 539 survey samples, including employees from contractors, supervisory consultants, project management boards, and infrastructure management agencies in Vietnam. The independent variables in the model include the project management factors, with the dependent variable being construction efficiency (success or failure). The results of the analysis show that progress management has the strongest impact on construction efficiency, followed by cost control and risk management. These findings not only contribute to raising awareness of project management in construction but also provide a scientific basis for project managers to optimize management factors, thereby improving construction efficiency in practice.