A Framework for Smart Pavements in Canada
Maintaining an acceptable durability and satisfactory in-service condition for pavements is a crucial and relatively complex task, which otherwise can have considerable economic, environmental, and social consequences. Design and management of pavements have traditionally relied mainly on empirical...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-07-01
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| Series: | Engineering Proceedings |
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| Online Access: | https://www.mdpi.com/2673-4591/36/1/51 |
| _version_ | 1797241194651058176 |
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| author | Pejoohan Tavassoti Hassan Baaj Moojan Ghafurian Omran Maadani Mohammad Shafiee |
| author_facet | Pejoohan Tavassoti Hassan Baaj Moojan Ghafurian Omran Maadani Mohammad Shafiee |
| author_sort | Pejoohan Tavassoti |
| collection | DOAJ |
| description | Maintaining an acceptable durability and satisfactory in-service condition for pavements is a crucial and relatively complex task, which otherwise can have considerable economic, environmental, and social consequences. Design and management of pavements have traditionally relied mainly on empirical models. However, pavements have been undergoing drastic changes, especially during the new millennium, which can compromise the reliability of the empirical models which were developed based on relatively stagnant historical data. Climate change, traffic loading growth and advancements in pavement materials are some of the main drivers of moving towards more mechanistic-empirical methods which would allow for a better understanding of pavement performance evolution in the future. To this end, this paper discusses the opportunities and challenges of a proposed framework for developing smart pavements in Canada, as well as a summary of the efforts that so far have been made in this regard. The goal of the study is to enable autonomous monitoring and data collection from the instrumented pavement sections in a suitable manner to allow for training Artificial Intelligence models, improving interpretation of the pavement responses and, ultimately, future pavement performance predictions. |
| first_indexed | 2024-04-24T18:19:27Z |
| format | Article |
| id | doaj.art-b96ce802e9fc4786bd13992f5a5b60b8 |
| institution | Directory Open Access Journal |
| issn | 2673-4591 |
| language | English |
| last_indexed | 2024-04-24T18:19:27Z |
| publishDate | 2023-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Engineering Proceedings |
| spelling | doaj.art-b96ce802e9fc4786bd13992f5a5b60b82024-03-27T13:36:33ZengMDPI AGEngineering Proceedings2673-45912023-07-013615110.3390/engproc2023036051A Framework for Smart Pavements in CanadaPejoohan Tavassoti0Hassan Baaj1Moojan Ghafurian2Omran Maadani3Mohammad Shafiee4Department of Civil and Environmental Engineering, University of Waterloo, Waterloo, ON N2L 3G1, CanadaDepartment of Civil and Environmental Engineering, University of Waterloo, Waterloo, ON N2L 3G1, CanadaDepartment of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON N2L 3G1, CanadaRoad and Pavement Engineering, National Research Council Canada, Ottawa, ON K1A 0R6, CanadaRoad and Pavement Engineering, National Research Council Canada, Ottawa, ON K1A 0R6, CanadaMaintaining an acceptable durability and satisfactory in-service condition for pavements is a crucial and relatively complex task, which otherwise can have considerable economic, environmental, and social consequences. Design and management of pavements have traditionally relied mainly on empirical models. However, pavements have been undergoing drastic changes, especially during the new millennium, which can compromise the reliability of the empirical models which were developed based on relatively stagnant historical data. Climate change, traffic loading growth and advancements in pavement materials are some of the main drivers of moving towards more mechanistic-empirical methods which would allow for a better understanding of pavement performance evolution in the future. To this end, this paper discusses the opportunities and challenges of a proposed framework for developing smart pavements in Canada, as well as a summary of the efforts that so far have been made in this regard. The goal of the study is to enable autonomous monitoring and data collection from the instrumented pavement sections in a suitable manner to allow for training Artificial Intelligence models, improving interpretation of the pavement responses and, ultimately, future pavement performance predictions.https://www.mdpi.com/2673-4591/36/1/51smart pavementsinstrumentationperformance predictionartificial intelligencemachine learningmechanistic responses |
| spellingShingle | Pejoohan Tavassoti Hassan Baaj Moojan Ghafurian Omran Maadani Mohammad Shafiee A Framework for Smart Pavements in Canada Engineering Proceedings smart pavements instrumentation performance prediction artificial intelligence machine learning mechanistic responses |
| title | A Framework for Smart Pavements in Canada |
| title_full | A Framework for Smart Pavements in Canada |
| title_fullStr | A Framework for Smart Pavements in Canada |
| title_full_unstemmed | A Framework for Smart Pavements in Canada |
| title_short | A Framework for Smart Pavements in Canada |
| title_sort | framework for smart pavements in canada |
| topic | smart pavements instrumentation performance prediction artificial intelligence machine learning mechanistic responses |
| url | https://www.mdpi.com/2673-4591/36/1/51 |
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