@inproceedings{9bc569f1368e4948a4b204cde312c097,
title = "KDEM: A Knowledge-Driven Exploration Model for Indoor Crowd Evacuation Simulation",
abstract = "Knowledge plays an important role in the indoor crowd evacuation. However, most evacuation simulation models assume that the agent is familiar with the simulation scene and does not apply the posterior knowledge to the simulation. This also makes it difficult for these models to judge the real situation of unfamiliar and complex scenes effectively. This study proposes a Knowledge-Driven Evacuation Model (KDEM), focusing on indoor crowd evacuation. In order to adapt the model to more complex scenarios, we refine the building structure knowledge and add bridge knowledge, and clarify the role of building object knowledge of safety signs and dangerous sources. The SEIR model is used to construct the function of knowledge dissemination and decay, and knowledge discovery is proposed as another way of knowledge acquisition. An exploration module is proposed, using Dijkstra and ORCA models, to help agents plan goals and paths and avoid obstacles in action. The experimental results show that the KDEM model conforms to the real situation and can provide practical guidance for public safety.",
keywords = "Crowd Evacuation, Crowd Simulation, Exploration Planning, Knowledge Dissemination, Knowledge-Driven",
author = "Yuji Shen and Bohao Zhang and Chen Li and Changbo Wang and Gaoqi He",
note = "Publisher Copyright: {\textcopyright} 2024, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 40th Computer Graphics International Conference, CGI 2023 ; Conference date: 28-08-2023 Through 01-09-2023",
year = "2024",
doi = "10.1007/978-3-031-50075-6\_21",
language = "英语",
isbn = "9783031500749",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "262--274",
editor = "Bin Sheng and Lei Bi and Jinman Kim and Nadia Magnenat-Thalmann and Daniel Thalmann",
booktitle = "Advances in Computer Graphics - 40th Computer Graphics International Conference, CGI 2023, Proceedings",
address = "德国",
}