A decentralized multi-agent-based optimization framework for intelligent traffic systems
The increasing complexity of urban transportation has increased the importance of intelligent traffic systems (ITS). Conventional approaches, such as fixed-time control (STS), rule-based adaptive control (RBAC), and centralized optimization (CTO), struggle with traffic demand, and network complexity. These limitations...