A dynamic network loading model for anisotropic and congested pedestrian flows

Flurin S. Hänseler; Hing Keung William Lam; Michel Bierlaire; Gael Lederrey; Marija Nikolić

doi:10.1016/j.trb.2016.10.017

A dynamic network loading model for anisotropic and congested pedestrian flows

Flurin S. Hänseler, Hing Keung William Lam, Michel Bierlaire, Gael Lederrey, Marija Nikolić

Research output: Journal article publication › Journal article › Academic research › peer-review

47 Citations (Scopus)

Abstract

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.

Original language	English
Pages (from-to)	149-168
Number of pages	20
Journal	Transportation Research Part B: Methodological
Volume	95
DOIs	https://doi.org/10.1016/j.trb.2016.10.017
Publication status	Published - 1 Jan 2017

Keywords

Anisotropy
Calibration
Macroscopic model
Network loading
Pedestrian flow
Pedestrian fundamental diagram

ASJC Scopus subject areas

Transportation
Management Science and Operations Research

More information

10.1016/j.trb.2016.10.017

http://hdl.handle.net/10397/96005

Cite this

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AU - Lam, Hing Keung William

AU - Bierlaire, Michel

AU - Lederrey, Gael

AU - Nikolić, Marija

PY - 2017/1/1

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AB - 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.

KW - Anisotropy

KW - Calibration

KW - Macroscopic model

KW - Network loading

KW - Pedestrian flow

KW - Pedestrian fundamental diagram

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DO - 10.1016/j.trb.2016.10.017

M3 - Journal article

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SP - 149

EP - 168

JO - Transportation Research Part B: Methodological

JF - Transportation Research Part B: Methodological

ER -

A dynamic network loading model for anisotropic and congested pedestrian flows

Abstract

Keywords

ASJC Scopus subject areas

More information

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