一款名为 PedNStream 的新开源 Python 模拟器已被开发出来，用于模拟大规模环境中的行人交通流。该工具旨在实现高效、基于反馈的人群控制，通过随机动力学和基于效用的路线选择扩展了链路传输模型。PedNStream 可作为通过门控和重新路由等干预措施管理行人网络的实用测试平台，并已展示了其可扩展性和控制器集成能力。 AI
影响 为模拟和管理复杂人群动态提供了一个新工具，可能有助于城市规划和活动管理。
排序理由 该集群描述了一篇关于新颖模拟框架的学术论文。[lever_c_demoted from research: ic=1 ai=0.4]
AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →
arXiv:2607.01021v1 Announce Type: new Abstract: Large-scale crowd management requires pedestrian simulations that are both computationally efficient and compatible with feedback-based control. However, most open-source tools are either microscopic or not designed for network-scal…
Large-scale crowd management requires pedestrian simulations that are both computationally efficient and compatible with feedback-based control. However, most open-source tools are either microscopic or not designed for network-scale closed-loop evaluation. This paper presents Pe…