Figure 1.
The framework begins with extreme weather, infrastructure failures, traffic incidents and cyber threats. These feed into a smart-resilient transportation architecture. The sensing and data layer includes I o T sensors, connected vehicles, V 2 I communication, and freight and logistics tracking. The A I intelligence layer includes predictive analytics, anomaly detection, demand forecasting and scenario analysis. The adaptive control layer includes dynamic routing, adaptive signals, intermodal switching and capacity reallocation. Resilience capabilities comprise absorptive capacity, adaptive capacity and recovery capacity. Governance and integration cover interoperability, cybersecurity, coordinated response and risk management. The resulting supply-chain continuity includes stable logistics flows, reduced disruption propagation and reliable deliveries.Smart resilient transportation architecture enabling supply chain continuity
Source: Author’s conceptual synthesis