000213626 001__ 213626
000213626 005__ 20180913063430.0
000213626 037__ $$aREP_WORK
000213626 245__ $$a A dynamic network loading model for anisotropic and congested pedestrian flows
000213626 269__ $$a2015
000213626 260__ $$c2015
000213626 336__ $$aReports
000213626 520__ $$a A macroscopic loading model for multi-directional, time-varying and congested pedestrian flows is proposed in this paper. Walkable space is represented by a network of streams that are each associated with an area in which they interact. To describe this interaction, a stream-based pedestrian fundamental diagram is used that relates density and walking speed in multi-directional flow. The proposed model is applied to two different case studies. The explicit modeling of anisotropy in walking speed is shown to significantly improve the ability of the model to reproduce empirically observed walking time distributions. Moreover, the obtained model parametrization is in excellent agreement with the literature.
000213626 700__ $$aHänseler, Flurin
000213626 700__ $$aLam, William
000213626 700__ $$0240563$$aBierlaire, Michel$$g118332
000213626 700__ $$0251047$$aLederrey, Gael$$g204874
000213626 700__ $$0246729$$aNikolic, Marija$$g216067
000213626 8564_ $$s668945$$uhttps://infoscience.epfl.ch/record/213626/files/HaLaBiLeNi_2015.pdf$$yn/a$$zn/a
000213626 909C0 $$0252123$$pTRANSP-OR$$xU11418
000213626 909CO $$ooai:infoscience.tind.io:213626$$pENAC$$preport
000213626 937__ $$aEPFL-REPORT-213626
000213626 970__ $$aREP-HaLaBiLeNi_2015/TRANSP-OR
000213626 980__ $$aREPORT