PSI - Issue 83

Shayiq Rashid et al. / Procedia Structural Integrity 83 (2026) 79–84

84

component for smart infrastructure. Therefore, future research must pivot toward advanced data analytics, with Artificial Intelligence (AI) and Machine Learning (ML) becoming indispensable tools. AI is required to process the massive, continuous data streams, filter environmental noise, automate signal decoupling, and provide reliable, predictive prognostics for maintenance scheduling. Concurrently, material research must focus on developing low cost, environmentally robust, and potentially self-healing composites to restore functionality post-damage, enabling the necessary data foundation for advanced Digital Twin (DT) and Vehicle-to-Infrastructure (V2I) systems. References Abedi, M., Fangueiro, R., Gomes Correia, A., 2021. A review of intrinsic self-sensing cementitious composites and prospects for their application in transport infrastructures. Constr. Build. Mater. 310, 125139. https://doi.org/10.1016/j.conbuildmat.2021.125139 Adresi, M., Pakhirehzan, F., 2023. 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