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Scenario-based robust optimization for large-scale traffic networks
DOI:10.1016/j.eswa.2026.132086.png)
Abstract
En 中文
• Scenario-based mean–CVaR optimization for grouped capacity controls. • Explicit L1 feasibility projection and conservation-style constraints are evaluated. • Robust tail reductions across three TNTP networks with UE approximation and tail-set stability checks. • Out-of-sample, OD-coverage, and domain-shift tests confirm generalization.
Keywords:
Scenario-based optimization
Mean–CVaR
Capacity controls
Robustness
Traffic networks
Journal
IF:
7.5
Papers:
2.9W
Citations:
10.2W

