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Formulating infrastructure restoration as a geospatial multi-project scheduling problem using agent-based simulation
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DOI：10.1016/j.autcon.2025.106595.png)
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Abstract
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• Post-flood restoration is formulated as geospatial multi-project scheduling prioritizing accessibility. • Agent-based modeling with deep learning enables rapid, scalable restoration of large-scale urban networks. • Interpretable Gantt charts and crew trajectories provide practical decision support tools for emergency managers. • Comparative analysis of restoration strategies offer actionable insights for emergency response.
Keywords:
Infrastructure systems
Road restoration
Scattered repetitive project scheduling
Accessibility
Complex system modeling
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