A Vehicle-Integrated Approach to Digital Twin Deployment for Bridges

This work presents a scalable digital-twin framework for assessing bridge condition through vibration measurements collected by a sensorised inspection vehicle. The structural-health approach combines vehicle–bridge interaction modelling, state estimation, machine learning, and surrogate modelling to reduce reliance on permanent sensor networks. Japan’s Old Ada Bridge serves as the principal case study.