Integrating dynamic sensors and weigh-in-motion systems for pavement performance assessment

In July 2022, a newly instrumented test road was constructed in Edmonton, Alberta, Canada, to monitor pavement conditions through embedded sensors in the asphalt layers. The test road is located on a high-traffic access route along Aurum Road leading to the Edmonton Waste Management Center. This study presents a comprehensive analysis of pavement performance by integrating data from dynamic sensors and a weigh-in-motion system, employing both direct sensor measurements and outputs from a layered elastic analysis to evaluate the pavement’s response to traffic loads. The findings revealed that the outer wheels of vehicles predominantly affected the middle longitudinal row of strain sensors, validating the need for multiple sensor rows to capture accurate strain data. Furthermore, relative errors of 4.3% for the horizontal strains and 22.5% for the vertical strains were found in the comparison between the observed data from the sensors and the calculated results from the computer software.

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Publication Details

Journal
Canadian Journal of Civil Engineering
Published
2025-06-19
DOI
https://doi.org/10.1139/cjce-2024-0541
Primary Topic
Infrastructure Maintenance and Monitoring
Type
article
Field-Weighted Citation Impact
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article

Integrating dynamic sensors and weigh-in-motion systems for pavement performance assessment

Mohammad Shafiee, Leila Hashemian, Alireza Bayat, Malik Noor Ul Amin Awan et al.
Canadian Journal of Civil Engineering
Infrastructure Maintenance and Monitoring
article

Integrating dynamic sensors and weigh-in-motion systems for pavement performance assessment

Mohammad Shafiee, Leila Hashemian, Alireza Bayat, Malik Noor Ul Amin Awan, Silas Henrique Barbosa de Carvalho
article en

Abstract

In July 2022, a newly instrumented test road was constructed in Edmonton, Alberta, Canada, to monitor pavement conditions through embedded sensors in the asphalt layers. The test road is located on a high-traffic access route along Aurum Road leading to the Edmonton Waste Management Center. This study presents a comprehensive analysis of pavement performance by integrating data from dynamic sensors and a weigh-in-motion system, employing both direct sensor measurements and outputs from a layered elastic analysis to evaluate the pavement’s response to traffic loads. The findings revealed that the outer wheels of vehicles predominantly affected the middle longitudinal row of strain sensors, validating the need for multiple sensor rows to capture accurate strain data. Furthermore, relative errors of 4.3% for the horizontal strains and 22.5% for the vertical strains were found in the comparison between the observed data from the sensors and the calculated results from the computer software.

Canadian Journal of Civil EngineeringVol. 52(9)
University of Alberta (CA), National Research Council Canada (CA)
Openalex Percentile: Top 85%
Infrastructure Maintenance and Monitoring
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