An Integrated Framework for Crowd Management

Summary
This research paper proposes INCROWD, an integrated framework for crowd management decision support. INCROWD combines computational and human expertise to monitor, interpret, predict, and act upon crowd behavior in real-time. The framework's architecture includes subsystems for crowd interaction, data mining, prediction, and decision-making. A literature review assesses existing crowd behavior models, highlighting the need for integrated, operationally usable models. The paper also explores model development within the INCROWD framework, emphasizing the iterative process of refining models through testing and feedback.