The State-of-the-Art Review on Applications of Intrusive Sensing, Image Processing Techniques, and Machine Learning Methods in Pavement Monitoring and Analysis
In modern transportation, pavement is one of the most important civil infrastructures for the movement of vehicles and pedestrians. Pavement service quality and service life are of great importance for civil engineers as they directly affect the regular service for the users. Therefore, monitoring t...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2021-06-01
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| Series: | Engineering |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2095809920303799 |
| _version_ | 1818652630435495936 |
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| author | Yue Hou Qiuhan Li Chen Zhang Guoyang Lu Zhoujing Ye Yihan Chen Linbing Wang Dandan Cao |
| author_facet | Yue Hou Qiuhan Li Chen Zhang Guoyang Lu Zhoujing Ye Yihan Chen Linbing Wang Dandan Cao |
| author_sort | Yue Hou |
| collection | DOAJ |
| description | In modern transportation, pavement is one of the most important civil infrastructures for the movement of vehicles and pedestrians. Pavement service quality and service life are of great importance for civil engineers as they directly affect the regular service for the users. Therefore, monitoring the health status of pavement before irreversible damage occurs is essential for timely maintenance, which in turn ensures public transportation safety. Many pavement damages can be detected and analyzed by monitoring the structure dynamic responses and evaluating road surface conditions. Advanced technologies can be employed for the collection and analysis of such data, including various intrusive sensing techniques, image processing techniques, and machine learning methods. This review summarizes the state-of-the-art of these three technologies in pavement engineering in recent years and suggests possible developments for future pavement monitoring and analysis based on these approaches. |
| first_indexed | 2024-12-17T02:25:04Z |
| format | Article |
| id | doaj.art-9799dd74cdfd4523aa8a332918aed542 |
| institution | Directory Open Access Journal |
| issn | 2095-8099 |
| language | English |
| last_indexed | 2024-12-17T02:25:04Z |
| publishDate | 2021-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Engineering |
| spelling | doaj.art-9799dd74cdfd4523aa8a332918aed5422022-12-21T22:07:09ZengElsevierEngineering2095-80992021-06-0176845856The State-of-the-Art Review on Applications of Intrusive Sensing, Image Processing Techniques, and Machine Learning Methods in Pavement Monitoring and AnalysisYue Hou0Qiuhan Li1Chen Zhang2Guoyang Lu3Zhoujing Ye4Yihan Chen5Linbing Wang6Dandan Cao7Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology, Beijing 100124, ChinaBeijing Key Laboratory of Traffic Engineering, Beijing University of Technology, Beijing 100124, China; Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Beijing Jiaotong University, Beijing 100044, ChinaBeijing Key Laboratory of Traffic Engineering, Beijing University of Technology, Beijing 100124, China; Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Beijing Jiaotong University, Beijing 100044, ChinaDepartment of Civil and Environmental Engineering, The Hong Kong Polytechnic University, Hong Kong 999077, ChinaNational Center for Materials Service Safety, University of Science and Technology Beijing, Beijing 100083, ChinaBeijing Key Laboratory of Traffic Engineering, Beijing University of Technology, Beijing 100124, China; School of Transportation, Southeast University, Nanjing 211189, ChinaDepartment of Civil and Environmental Engineering, Virginia Tech, Blacksburg, VA 24061, USA; Corresponding author.Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology, Beijing 100124, ChinaIn modern transportation, pavement is one of the most important civil infrastructures for the movement of vehicles and pedestrians. Pavement service quality and service life are of great importance for civil engineers as they directly affect the regular service for the users. Therefore, monitoring the health status of pavement before irreversible damage occurs is essential for timely maintenance, which in turn ensures public transportation safety. Many pavement damages can be detected and analyzed by monitoring the structure dynamic responses and evaluating road surface conditions. Advanced technologies can be employed for the collection and analysis of such data, including various intrusive sensing techniques, image processing techniques, and machine learning methods. This review summarizes the state-of-the-art of these three technologies in pavement engineering in recent years and suggests possible developments for future pavement monitoring and analysis based on these approaches.http://www.sciencedirect.com/science/article/pii/S2095809920303799Pavement monitoring and analysisThe state-of-the-art reviewIntrusive sensingImage processing techniquesMachine learning methods |
| spellingShingle | Yue Hou Qiuhan Li Chen Zhang Guoyang Lu Zhoujing Ye Yihan Chen Linbing Wang Dandan Cao The State-of-the-Art Review on Applications of Intrusive Sensing, Image Processing Techniques, and Machine Learning Methods in Pavement Monitoring and Analysis Engineering Pavement monitoring and analysis The state-of-the-art review Intrusive sensing Image processing techniques Machine learning methods |
| title | The State-of-the-Art Review on Applications of Intrusive Sensing, Image Processing Techniques, and Machine Learning Methods in Pavement Monitoring and Analysis |
| title_full | The State-of-the-Art Review on Applications of Intrusive Sensing, Image Processing Techniques, and Machine Learning Methods in Pavement Monitoring and Analysis |
| title_fullStr | The State-of-the-Art Review on Applications of Intrusive Sensing, Image Processing Techniques, and Machine Learning Methods in Pavement Monitoring and Analysis |
| title_full_unstemmed | The State-of-the-Art Review on Applications of Intrusive Sensing, Image Processing Techniques, and Machine Learning Methods in Pavement Monitoring and Analysis |
| title_short | The State-of-the-Art Review on Applications of Intrusive Sensing, Image Processing Techniques, and Machine Learning Methods in Pavement Monitoring and Analysis |
| title_sort | state of the art review on applications of intrusive sensing image processing techniques and machine learning methods in pavement monitoring and analysis |
| topic | Pavement monitoring and analysis The state-of-the-art review Intrusive sensing Image processing techniques Machine learning methods |
| url | http://www.sciencedirect.com/science/article/pii/S2095809920303799 |
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