Modeling and simulation approaches that express crowd movement with mathematical models are widely and actively studied to understand crowd movement and resolve crowd accidents. Existing literature on crowd modeling focuses on only the decision-making of walking behavior. However, the decision-making of route choice, which is a higher-level decision, should also be modeled for constructing more practical simulations. Furthermore, the reproducibility evaluation of the crowd simulation incorporating the route choice model using real data is insufficient. Therefore, we generalize and propose a crowd simulation framework that includes actual crowd movement measurements, route choice model estimation, and crowd simulator construction. We use the Discrete choice model as the route choice model and the Social force model as the walking model. In experiments, we measure crowd movements during an evacuation drill in a theater and a firework event where tens of thousands of people moved and prove that the crowd simulation incorporating the route choice model can reproduce the real large-scale crowd movement more accurately.

翻译：建模与仿真方法通过数学模型表达人群运动，被广泛且积极地研究以理解人群动态并解决人群事故。现有关于人群建模的文献仅关注步行行为的决策过程。然而，路径选择决策作为更高层次的决策，同样需要被建模以构建更具实用性的仿真系统。此外，结合路径选择模型的人群仿真在利用真实数据进行的可复现性评估方面尚不充分。因此，我们概括并提出一个包含实际人群运动测量、路径选择模型估计及人群仿真器构建的人群仿真框架。我们采用离散选择模型作为路径选择模型，社会力模型作为步行模型。在实验中，我们测量了剧院疏散演练及数万人参与的烟火活动期间的人群运动，验证了融合路径选择模型的人群仿真能够更准确地再现真实大规模人群运动。