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Gonçalo Galvão1,2, Manuela Vieira1,2,3, Manuel Augusto Vieira1,3
1Electronics Telecommunication and Computer Department, Instituto Superior de Engenharia de Lisboa, Instituto Politécnico de Lisboa, 1949-014 Lisboa, Portugal.
This study introduces a Multi-Agent Reinforcement Learning (MARL) system with Strategic Anti-Blocking Phase Adjustment (SAPA) to dynamically manage urban traffic signals. The adaptive system reduces congestion, improves traffic flow, and enhances safety in complex city environments.
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