Sustainable Smart Bridge Systems for Saudi Vision 2030 Infrastructure Development

Background: Saudi Arabia is expanding roads, rail links, logistics corridors, smart cities and giga-project infrastructure under Vision 2030. Bridges within these networks are not only civil structures; they are mobility, safety, economic and environmental assets whose failure or closure can disrupt trade, tourism, emergency response and public confidence. Aim: This review develops a Saudi-focused conceptual framework for sustainable smart bridge systems that integrates Structural Health Monitoring (SHM), Internet of Things (IoT) sensing, Artificial Intelligence (AI), Digital Twins and lifecycle sustainability assessment. Methodology: A structured narrative review was conducted using peer-reviewed and policy literature published mainly between 2020 and 2025. The analysis synthesized evidence across five themes: sensing and monitoring, digital representation, predictive analytics, sustainability performance and governance. Results: The review shows that smart bridge value is created when physical asset durability, sensor networks, digital intelligence and decision governance operate as one lifecycle system. AI-supported monitoring can improve anomaly detection, maintenance prioritization and service-life planning, while digital twins can connect inspection records, BrIM/BIM models, traffic exposure and climate data. Contribution: The paper proposes a four-layer sustainable smart bridge framework, a Smart Bridge Maturity Index, a Saudi implementation roadmap and a Vision 2030 alignment matrix. These outputs provide a practical pathway for bridge owners, consultants and policy makers to move from isolated monitoring technologies toward integrated, low-carbon and resilient bridge asset management. Conclusion: Sustainable smart bridge systems can strengthen Saudi infrastructure resilience, reduce unplanned closures, improve lifecycle carbon performance and support local digital engineering capability. Future research should validate the proposed framework through Saudi bridge case studies, pilot monitoring data and lifecycle cost-carbon modelling.