Algorithm and Examples of an Agent-Based Evacuation Model

This research establishes a “detect-decide-action” agent-based evacuation model based on the social force model, introducing an active steering into basis of dynamic equation with combination behavioral decision and probability model. In AEM, detection algorithm is used to identify pedestrians or obstacles within radius provide next walking direction apply force. The obstacle avoidance core “action” link. focuses establishment following bypassing when moving in same direction, detour opposite applying C++ programming language achieve basic behavior simulation avoiding actual scene. results show that compared grid general agent (AEM) solves problem distortion some extent, pedestrian more flexible choice path.