Recent Advances in Pavement Monitoring
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Transportation and Future Mobility".
Deadline for manuscript submissions: 20 July 2025 | Viewed by 132
Special Issue Editors
Interests: monitoring; prediction and management of pavement performance
Interests: pavement mechanics; pavement monitoring; fiber optic sensing technology; smart roads
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Pavement monitoring is essential for assessing and maintaining transportation infrastructure in roads and airports, ensuring safety and reliable performance. With increasing traffic, climate change, and more complex service environments, understanding pavement conditions, tracking performance changes, and predicting damage are becoming critical tasks. New technologies, such as the Internet of Things (IoT), artificial intelligence (AI), and big data, are transforming pavement monitoring by making it smarter, more accurate, and better connected. These advances provide new ways to improve infrastructure health and extend its lifespan.
This Special Issue focuses on recent developments in pavement monitoring. We welcome studies on sensing technologies, data fusion methods, and smart analytical models. Topics include embedded sensor networks, fiber optic sensors, UAV-based remote sensing, satellite InSAR, and using multi-scale data in complex traffic conditions. Papers on combining and analyzing dynamic monitoring data or using machine learning for performance predictions are especially encouraged. Review papers on these topics are also welcome.
We invite you to share innovative research and explore how advanced monitoring technologies can help evaluate pavement conditions, optimize functionality, and contribute to both practical applications and theoretical progress in this field.
Dr. Mengyuan Zeng
Dr. Xianyong Ma
Guest Editors
Manuscript Submission Information
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Keywords
- pavement health monitoring
- embedded sensor networks
- fiber optic sensors
- non-destructive testing surveys
- aerial and spaceborne techonologies
- data-driven analysis
- predictive and condition-based maintenance
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