A modular self-organization process lets trains collaboratively manage traffic perturbations via neighbor identification, hypothesis formulation, compatibility checks, and consensus, outperforming centralized control in realistic simulations.
Distributed approximate dynamic control for trafc management of busy railway networks
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Self-Organizing Railway Traffic Management
A modular self-organization process lets trains collaboratively manage traffic perturbations via neighbor identification, hypothesis formulation, compatibility checks, and consensus, outperforming centralized control in realistic simulations.