Human centered artificial intelligence for smart city traffic coordination
A human-centric edge intelligence framework that integrates federated reinforcement learning (FRL) with interpretable human–machine interfaces for urban traffic coordination and provides a practical pathway for evaluating intelligent mobility systems that balance decentralized optimization, privacy preservation, interpretability, scalability, and human-aligned operation is proposed.
Swarnamouli Majumdar, Anjali Awasthi, L. Szolga
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