: Utilizing distributed algorithms to update "safest paths" as environmental conditions (like fire or structural damage) change.
: Incorporating psychological factors (fear, group dynamics) improves the accuracy of predicted evacuation times by up to 20% .
: Configuration files for tools like AnyLogic or Pathfinder . Evacuation-P2P.rar
: P2P models are highly effective in scenarios where traditional network infrastructure (Cell/Wi-Fi) may be compromised by the disaster itself.
The project focuses on a decentralized approach to emergency management. Unlike traditional centralized systems that rely on a single server, this P2P framework allows individual nodes (e.g., mobile devices, smart building sensors, or autonomous agents) to communicate directly to coordinate escape routes. 🛠 Core Technical Objectives : Utilizing distributed algorithms to update "safest paths"
: Distributed systems can reduce simulation execution time by spreading the computational load across multiple servers or nodes.
: Likely written in C++ (for core performance), Java (Repast/Jade frameworks), or Python (for research prototyping). : P2P models are highly effective in scenarios
: User manuals, API references, or a research paper draft explaining the underlying P2P protocol.