A Comprehensive Survey of the New Generation Pavement Structural Condition Assessment in Pavement Management System: Traffic Speed Deflection Device

The rapid development of the transportation industry has raised demands on highway maintenance, particularly highlighting the inefficiency of pavement structural performance evaluation based on fixed-point deflection detection. The traffic speed deflection devices (TSDD) can continuously collect pavement deflection data at normal driving speeds and have the advantages of minimal traffic disruption and realistic loading modes. In terms of motivation, the TSDD aligns with the development trends of the highway industry and data intelligence era. In terms of reliability, data comparisons between TSDD and falling weight deflectometer (FWD) show similar trends. However, the actual detection process is more complex, requiring analysis and adjustment of factors such as vehicle speed, pavement roughness, environment temperature, and reported data range. When the TSDD is running on the road, it requires a complete data analysis system, including powerful noise reduction algorithms, accurate deflection algorithms, reasonable deflection index models, and effective modulus inversion models. Finally, consideration should be given to integrating TSDD assessment into the pavement management system, focusing on the relationship between pavement structural and functional conditions, as well as balancing economic considerations and decision-making effectiveness. Given the complex issues, various aspects of TSDD research are systematically investigated in this review. The survey research aims to summarize the development process and current applications of TSDD, investigate the technical challenges and phased solutions in its applications, and evaluate its capability and practices in improving PMS. These analyses are expected to help relevant personnel deepen the understanding of this emerging technology and jointly promote its rapid development.

Publication Details

Journal
Apollo (University of Cambridge)
Published
2025-06-24
DOI
https://doi.org/10.17863/cam.119289
Primary Topic
Infrastructure Maintenance and Monitoring
Type
article
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article

A Comprehensive Survey of the New Generation Pavement Structural Condition Assessment in Pavement Management System: Traffic Speed Deflection Device

Apollo (University of Cambridge)
Infrastructure Maintenance and Monitoring
article

A Comprehensive Survey of the New Generation Pavement Structural Condition Assessment in Pavement Management System: Traffic Speed Deflection Device

article en

Abstract

The rapid development of the transportation industry has raised demands on highway maintenance, particularly highlighting the inefficiency of pavement structural performance evaluation based on fixed-point deflection detection. The traffic speed deflection devices (TSDD) can continuously collect pavement deflection data at normal driving speeds and have the advantages of minimal traffic disruption and realistic loading modes. In terms of motivation, the TSDD aligns with the development trends of the highway industry and data intelligence era. In terms of reliability, data comparisons between TSDD and falling weight deflectometer (FWD) show similar trends. However, the actual detection process is more complex, requiring analysis and adjustment of factors such as vehicle speed, pavement roughness, environment temperature, and reported data range. When the TSDD is running on the road, it requires a complete data analysis system, including powerful noise reduction algorithms, accurate deflection algorithms, reasonable deflection index models, and effective modulus inversion models. Finally, consideration should be given to integrating TSDD assessment into the pavement management system, focusing on the relationship between pavement structural and functional conditions, as well as balancing economic considerations and decision-making effectiveness. Given the complex issues, various aspects of TSDD research are systematically investigated in this review. The survey research aims to summarize the development process and current applications of TSDD, investigate the technical challenges and phased solutions in its applications, and evaluate its capability and practices in improving PMS. These analyses are expected to help relevant personnel deepen the understanding of this emerging technology and jointly promote its rapid development.

Apollo (University of Cambridge)
Industry, innovation and infrastructure
Openalex Percentile: Top 56%
Infrastructure Maintenance and Monitoring
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