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GNN-Guided Network Reduction for Centralized Urban Traffic Routing

Antonov, Nikolai et al.
arXiv (All) · Papers
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machine-learning
We consider the centralized traffic routing (CTR) problem, where a central planner assigns routes to origin-destination (OD) vehicle flows to minimize congestion-dependent segment cost. Prior work formulates CTR efficiently as a mixed-integer linear program (MILP), but scaling this formulation to th
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