Building Information Modeling-Grounded Embodied Social Perception for Infrastructure Intelligent Transportation Systems

Transportation infrastructure is increasingly instrumented, yet data and models remain fragmented across design, construction, monitoring, and operations, which hinders closed-loop decision making. We reframe roads, bridges, tunnels, and hubs as embodied infrastructure agents embedded in physical and social environments. We propose a building information modeling (BIM)-enabled lifecycle framework that maps multimodal sensing and social signals to BIM semantics for traceable state estimation and lifecycle memory, executes latency-critical monitoring and control at the edge while performing long-horizon simulation and policy optimization in the cloud, and enables auditable collaboration via multiagent orchestration. The framework provides a practical pathway from perception to accountable action for infrastructure intelligent transportation systems.