iCrowd is an advanced agent-based crowd simulation platform designed for small- and large-scale scenarios in diverse environments, including buildings, stadiums, and public spaces. It features biometric-based behavior modeling, collision avoidance, and fully customizable experiments. Utilizing Behavior Trees, a widely used AI modeling technique, iCrowd ensures realistic crowd dynamics. Built on a high-performance, multithreaded engine, it supports applications in social behavior modeling, game AI, evacuation planning, and transportation simulations. With an extensible architecture separating core services from agent behavior layers, iCrowd offers a powerful, domain-independent solution for optimizing crowd management and evacuation strategies.<\/p>\n","protected":false},"excerpt":{"rendered":"
iCrowd is an advanced agent-based crowd simulation platform designed for small- and large-scale scenarios in diverse environments, including buildings, stadiums, and public spaces. It features biometric-based behavior modeling, collision avoidance, and fully customizable experiments. Utilizing Behavior Trees, a widely used AI modeling technique, iCrowd ensures realistic crowd dynamics. Built on a high-performance, multithreaded engine, it supports applications in social behavior modeling, game AI, evacuation planning, and transportation simulations. 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