University of Bremen, Dept. Mathematics & Computer Science, Bremen, Germany
This work demonstrates the benefits of agent-based simulation and learning agents for the self-organised and decentralised optimisation of traffic and logistics flows in cities
This work addresses three paradigms to create smart city control:
Cooperating and interacting Multi-agent Systems;
Reinforcement Learning (RL);
Self-organisation and self-adaptivity.