The integration of smart technologies is set to revolutionize pavement data collection and analysis, leading to more efficient decision-making in Pavement Management Systems (PMS). Smart pavements, featuring embedded sensors, offer continuous streams of high-quality real-time data, enhancing the PMS data analysis process. This paper provides a detailed examination of these embedded smart systems, discussing their technologies, applications, and potential impacts on pavement management. The study highlights the role of smart materials in pavement engineering, offering self-sensing, self-healing, and energy-harvesting capabilities. It investigates sensor technologies for monitoring pavement conditions, focusing on both on-surface and below-surface sensors for comprehensive data collection. Future research directions emphasize advanced data management systems, sensor durability enhancement, economic modeling, standardization efforts, energy-efficient technologies, and pilot programs for real-world testing. This research provides insights into smart pavement advancements and challenges, paving the way for improved road infrastructure efficiency and sustainability.

中文翻译：

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用于增强路面管理的智能嵌入式技术和材料


智能技术的集成将彻底改变路面数据收集和分析，从而在路面管理系统 （PMS） 中实现更高效的决策。具有嵌入式传感器的智能路面提供连续的高质量实时数据流，从而增强 PMS 数据分析过程。本文详细研究了这些嵌入式智能系统，讨论了它们的技术、应用和对路面管理的潜在影响。该研究强调了智能材料在路面工程中的作用，提供自我感应、自我修复和能量收集能力。它研究了用于监测路面状况的传感器技术，重点关注用于全面数据收集的表面和表面下传感器。未来的研究方向强调先进的数据管理系统、传感器耐用性增强、经济建模、标准化工作、节能技术和实际测试的试点计划。这项研究提供了对智能路面进步和挑战的见解，为提高道路基础设施的效率和可持续性铺平了道路。