  Following extreme events, efficient restoration of infrastructure systems is
critical to sustaining community lifelines. During the process, effective
monitoring and control of the infrastructure restoration progress is critical.
This research proposes a systematic approach that automatically integrates
component-level restoration status to achieve real-time forecasting of overall
infrastructure restoration progress. In this research, the approach is mainly
designed for transportation infrastructure restoration following Hurricane
Harvey. In detail, the component-level restoration status is linked to the
restoration progress forecasting through network modeling and earned value
method. Once the new component restoration status is collected, the information
is automatically integrated to update the overall restoration progress
forecasting. Academically, an approach is proposed to automatically transform
the component-level restoration information to overall restoration progress. In
practice, the approach expects to ease the communication and coordination
efforts between emergency managers, thereby facilitating timely identification
and resolution of issues for rapid infrastructure restoration.
