Optimal Pedestrian Evacuation in Building with Consecutive Differential Dynamic Programming
Zhu YH(朱圆恒); Haibo He; Dongbin Zhao; Zhongsheng Hou
2019-09
会议名称2019 International Joint Conference on Neural Networks (IJCNN)
会议日期2019-7-14
会议地点Budapest, Hungary
出版地Budapest, Hungary
出版者IEEE publication
摘要

Fast and efficient evacuation of pedestrians from an enclosed area is a difficult but crucial issue in modern society. In this paper, the optimization of evacuation from a building is studied. A graph is adopted to describe the building layout with nodes representing areas and edges representing connections. The dynamics of the evacuation process in the graph is formulated by a nonlinear discrete-time model at a macroscopic level. To find the optimal evacuation plan, a consecutive differential dynamic programming is developed. It inherits the differential dynamic programming property that solves the value and optimal policy locally. Additionally, it consecutively executes actions for multiple steps in the trajectory, which is beneficial to reduce computational burden and lower optimization difficulty. Simulations on a four-storey building layout demonstrates our method is efficient and suitable for on-site evacuation plan making.

收录类别EI
语种英语
七大方向——子方向分类强化与进化学习
国重实验室规划方向分类多智能体决策
是否有论文关联数据集需要存交
文献类型会议论文
条目标识符http://ir.ia.ac.cn/handle/173211/51662
专题多模态人工智能系统全国重点实验室
作者单位中国科学院自动化研究所
推荐引用方式
GB/T 7714
Zhu YH,Haibo He,Dongbin Zhao,et al. Optimal Pedestrian Evacuation in Building with Consecutive Differential Dynamic Programming[C]. Budapest, Hungary:IEEE publication,2019.
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