Scenario-Based Optimization of Network Resilience: Integrating Vulnerability Assessments and Traffic Flow
ORCID
Saei: https://orcid.org/0000-0001-8125-435X
MSU Affiliation
James Worth Bagley College of Engineering; Department of Industrial and Systems Engineering
Creation Date
2026-06-01
Abstract
Infrastructure networks are increasingly vulnerable to natural hazards and design flaws, making resilience assessment essential. This paper presents a scenario-based framework to evaluate network vulnerability by combining local measures and topological analysis, assessing each node's role in maintaining network integrity during disruptions. The framework identifies optimization opportunities by comparing structural properties with established standards. Traffic flow is modeled using the Bureau of Public Roads (BPR) function to improve disruption resilience. A two-stage stochastic model captures uncertainties, ensuring robust network performance across diverse scenarios. The approach balances risk-neutral and risk-averse strategies, emphasizing the importance of strengthening critical nodes to prevent cascading failures. The proposed method enhances resilience by minimizing undelivered demand and optimizing overall performance under uncertainty.
Publication Date
3-29-2025
Publication Title
arXiv
Publisher
arXiv
Recommended Citation
Saei, S., & Tajik, N. (2025). Scenario-Based Optimization of Network Resilience: Integrating Vulnerability Assessments and Traffic Flow (arXiv:2503.23251). arXiv. https://doi.org/10.48550/arXiv.2503.23251
