An Agent Based Simulation Model Applied to Emergency Vehicles in High Traffic Urban Environments
This work proposes a holistic perspective on a coordination strategy for an Intelligent Operation Centre (IOC) at city level that accounts for the implementation of critical intervention protocols. The proposed solution depicts an agent based simulation scenario, demonstrating the real-time integration of large amounts of data into a decision making process. Based on this type of analysis, leaders have the possibility to analyze data for better decisions, anticipate problems to resolve them proactively and coordinate resources to operate effectively. The proposed agent-based coordination solution is validated through an Agent-Based oriented simulation (ABS) of specific behavioural scenarios. These scenarios account for emergency response in case of city wide critical situations in a larger perspective of a scalable multi-agent system whose main task is human life protection.