A dynamic network loading model for anisotropic and congested pedestrian flows

详细信息    查看全文

• 作者：Flurin S. Hä ; nseler ; ^a ; ^b ; ^{flurin.haenseler@epfl.ch} ; William H.K. Lam^a ; ^{william.lam@polyu.edu.hk} ; Michel Bierlaire^b ; ^{michel.bierlaire@epfl.ch} ; Gael Lederrey^b ; ^{gael.lederrey@epfl.ch} ; Marija Nikolić^b ; ^{marija.nikolic@epfl.ch}
• 关键词：Pedestrian flow ; Network loading ; Macroscopic model ; Pedestrian fundamental diagram ; Anisotropy ; Calibration
• 刊名：Transportation Research Part B: Methodological
• 出版年：2017
• 出版时间：January 2017
• 年：2017
• 卷：95
• 期：Complete
• 页码：149-168
• 全文大小：1986 K
• 卷排序：95

文摘

A macroscopic loading model for congested, multi-directional pedestrian flow is proposed. Multi-directional flow is decomposed into a set of interacting pedestrian streams. The interaction between streams is modeled by an anisotropic fundamental diagram. A calibration on two real case studies using maximum likelihood estimation is performed. The explicit modeling of anisotropy is shown to significantly improve the model performance.