Automated Integration of Infrastructure Component Status for Real-Time Restoration Progress Control: Case Study of Highway System in Hurricane Harvey

TL;DR

This paper presents a systematic, automated method for integrating component-level restoration data to enable real-time forecasting of infrastructure recovery progress after disasters, demonstrated through a case study of Hurricane Harvey's highway system.

Contribution

It introduces a novel automated approach that links component restoration status with overall progress forecasting using network modeling and earned value analysis.

Findings

Automated integration improves real-time restoration monitoring.

The approach enhances communication between emergency managers.

Case study validates effectiveness in hurricane recovery context.

Abstract

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.