Performance Study of Smart Pavement Systems

  • Authors

    • Dr. Matteo Rossi Professor, Sapienza University of Rome, Italy Author
    • Dr. Giulia Romano Associate Professor, University of Milan, Italy Author

    DOI:

    https://doi.org/10.67228/3071-6357/IJMRSE-2019PII7G3P

    Published 08-05-2019

  • Smart Pavement Systems, Intelligent Transportation Infrastructure, Embedded Sensors, Pavement Performance, Structural Health Monitoring, Sustainable Roads

    Issue

    Vol. 2 No. 2 (2019)

    Section

    Articles

    How to Cite

    Performance Study of Smart Pavement Systems. (2019). International Journal of Modern Research in Science & Engineering, 2(2), 01-15. https://doi.org/10.67228/3071-6357/IJMRSE-2019PII7G3P

  • Abstract

    Smart pavement system is a ground breaking new technology in the infrastructure transport system as it combines sensing technology, communication technology, and intelligent material technology to form the normal roadways. Contrary to the conventional pavements, which are most prestigious in the structural and functional functions, the smart pavements participate in the active monitoring of the traffic loads, environmental conditions, pavement health, and energy interactions, therefore, allowing the development of the real-time decision-making and anticipatory maintenance. The paper gives the overall performance analysis of a smart pavement system in terms of structural stability, sensing accuracy, power consumption, road safety, and sustainability of the lifecycle. The paper compares different typologies of smart pavements such as sensor embedded pavements, energy harvesting pavements, self-healing pavements and also intelligent surface pavements. Multi-criteria performance framework is formulated to determine mechanical behavior, reliability of data, resilience of the environment, and economic feasibility by operating real-life situations. To study the reaction of the pavement to the dynamic loading, in the presence of thermal variations and the stresses formed by the traffic, experimental and simulation-based methods are used. Findings are that smart pavements have high levels of monitoring structural performance, decrease the amount of time spent on maintenance, and enhance road safety due to their adaptive capabilities. Nonetheless, issues in sensor longevity, complexities in integration, and costs of preliminary investment are other issues that pose serious obstacles to extensive implementation. The results show that smart pavements systems are more effective and less expensive than ordinary pavements in terms of their effectiveness and costs at the entire lifecycle. The paper has a lot to offer in terms of knowledge to the future smart city research, infrastructure planners, and policy makers interested in deploying intelligent transportation infrastructure to achieve their future goals.

  • References

    [1] A. Alavi, H. Buttlar, and W. G. Buttlar, “Mechatronic pavement systems: State-of-the-art review,” Journal of Infrastructure Systems, vol. 22, no. 3, pp. 04016010-1–04016010-14, 2016.

    [2] J. Chen, J. Liu, and S. Wang, “Application of piezoelectric sensors for traffic monitoring and pavement health assessment,” Sensors, vol. 18, no. 5, pp. 1–18, 2018.

    [3] C. Hou, J. Yang, and Y. Wang, “Development of multifunctional smart pavements based on embedded sensing technologies,” Automation in Construction, vol. 96, pp. 1–12, 2018.

    [4] M. Inaudi and B. Glisic, “Long-range pipeline monitoring by distributed fiber optic sensing,” Journal of Pressure Vessel Technology, vol. 132, no. 1, pp. 1–10, 2010.

    [5] Y. Bao, Z. Sun, and H. Li, “Embedding fiber Bragg grating sensors in asphalt pavement for strain monitoring,” Smart Materials and Structures, vol. 23, no. 7, pp. 075010-1–075010-10, 2014.

    [6] R. J. Al-Qadi, S. Lahouar, and I. L. Al-Qadi, “Wireless sensor networks for pavement monitoring,” Transportation Research Record, vol. 2153, pp. 62–69, 2010.

    [7] S. Wang, J. Li, and X. Zhao, “Durability challenges of embedded sensors in asphalt pavements,” Journal of Materials in Civil Engineering, vol. 31, no. 9, pp. 04019210-1–04019210-9, 2019.

    [8] Y. Yang, H. Wang, and Z. Zhou, “Piezoelectric energy harvesting from roadways: A comprehensive review,” Energy Conversion and Management, vol. 133, pp. 260–274, 2017.

    [9] A. Khaligh and O. C. Onar, Energy Harvesting: Solar, Wind, and Ocean Energy Conversion Systems. Boca Raton, FL, USA: CRC Press, 2010.

    [10] C. Xu, S. Li, and Y. Li, “Solar pavement technology: A review of structural design and performance,” Renewable and Sustainable Energy Reviews, vol. 89, pp. 1–14, 2018.

    [11] Z. Wang, J. Hu, and L. Sun, “Self-powered wireless sensing systems for intelligent pavements,” IEEE Internet of Things Journal, vol. 6, no. 5, pp. 8588–8597, 2019.

    [12] S. Wu, M. Yang, and J. Zhu, “Life-cycle assessment of smart pavement systems,” Journal of Cleaner Production, vol. 233, pp. 1–12, 2019.

    [13] H. Li, Y. Sun, and B. Spencer, “Cyber-physical systems for smart infrastructure monitoring,” Engineering Structures, vol. 201, pp. 109808-1–109808-11, 2019.

  • Downloads