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Evaluation of construction progress of smart highway: a Bayesian network model
Chao Wang1, Haining Wang2, Shang Liu1
1Shandong Provincial Communications Planning and Design Institute Group Co. Ltd, Ji'nan, 250101, China.
Scientific Reports
|May 22, 2026
Summary
Accurate progress control for intelligent highways requires a new framework. This study introduces a multi-dimensional system combining expert and quantitative evaluation for better project management and decision-making.
Area of Science:
- Construction Management
- Intelligent Transportation Systems
- Project Monitoring
Background:
- Traditional progress evaluation methods are insufficient for intelligent highway construction due to complex integration of digital technologies and electromechanical equipment.
- Intelligent highway projects present unique challenges in progress assessment stemming from technological complexity and intricate construction interfaces.
- Effective progress control is critical for the successful and timely completion of advanced infrastructure projects.
Purpose of the Study:
- To develop and validate a novel progress evaluation framework specifically designed for intelligent highway construction projects.
- To establish a multi-dimensional indicator system that captures both schedule performance and technology-specific characteristics.
- To provide a practical tool for enhancing the precision and adaptability of intelligent highway construction management.
Main Methods:
- Analysis of project progress factors and construction management requirements.
- Development of a multi-dimensional indicator system integrating schedule and technological aspects.
- Combination of expert judgment with quantitative evaluation methods.
- Application and validation using real-world data from an intelligent highway construction case study.
Main Results:
- The proposed framework effectively reflects the actual progress status of intelligent highway construction stages.
- Key factors influencing schedule deviations were identified through case study application.
- The method provides actionable insights for project managers to make timely corrective decisions.
- Demonstrated superiority over conventional methods in accounting for technological complexity.
Conclusions:
- The developed framework offers a practical and effective solution for progress monitoring in intelligent highway construction.
- It enhances the precision and adaptability of construction management for technologically advanced projects.
- The study contributes to improving project control and decision-making in complex infrastructure development.
- The findings support the adoption of tailored evaluation methods for specialized construction environments.
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