Automated vehicle identification using bridge vibrations

The present code implements in Matlab the procedure used in ref [1] to automatically identify key vehicle characteristics from vibrations data collected on a suspension bridge. Nevertheless, the present numerical implementation has some minor differences with ref [1]. The bridge is modelled using a continuum model to reduce the computational cost associated with the identification of the vehicles [2]. Vehicles are modelled as moving-masses to reduce the computational cost. In the following, only the vertical motion of the main span is modelled. This algorithm is suited to bridges in remote areas with little traffic. References [1] Cheynet, E., Daniotti, N., Jakobsen, J. B., & Snæbjörnsson, J. (2020). Improved long‐span bridge modeling using data‐driven identification of vehicle‐induced vibrations. Structural Control and Health Monitoring, Volume 27, issue 9. https://doi.org/10.1002/stc.2574 [2] E. Cheynet. ECheynet/EigenBridge v3.3. Zenodo, 2020, https://doi.org/10.5281/ZENODO.3817982.A detailed description of the algorithm is available in (open-source): Cheynet, E., Daniotti, N., Jakobsen, J. B., & Snæbjörnsson, J. (2020). Improved long‐span bridge modeling using data‐driven identification of vehicle‐induced vibrations. Structural Control and Health Monitoring, Volume 27, issue 9. https://doi.org/10.1002/stc.257