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Scenario-based robust optimization for large-scale traffic networks

delete2026-03-26
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PRE
AI
W
Weian Guo
肖瑶 cover
肖瑶 (Yao Xiao)
程适 cover
程适 (Shi Cheng)
H
Hui Lu *
DOI:10.1016/j.eswa.2026.132086delete
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Abstract

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

Expert Systems with Applications cover
Expert Systems with Applications
IF:
7.5
Papers:
2.9W
Citations:
10.2W

Organization

B
beihang university
Scholars:
5.2K
Papers: 2.0K
Citations: 21
S
Shaanxi Normal University
Scholars:
1.6W
Papers: 1.1W
Citations: 1.7W
T
Tongji University
Scholars:
5.2K
Papers: 2.1K
Citations: 388
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