Experimental analyses of step extent and contact buffer in pedestrian dynamics
(2022) In Physica A: Statistical Mechanics and its Applications 593.- Abstract
This study aims to quantify and develop a deeper understanding of the parameters that underpin the development of a new, predictive, microscopic model of pedestrian movement with the potential to accurately reflect the complexity of flow dynamics now and into the future. It presents the results and analyses of two single file experiments designed to quantify the physical space taken up by the extent of a person's stepping movement (maximum step extent) and the minimum distance between points of inter-person contact (contact buffer) across a range of walking speeds. The experiments successfully used high-resolution optical motion capture and enhanced video analysis to quantify the dynamic changes in gait and spatial parameters, which... (More)
This study aims to quantify and develop a deeper understanding of the parameters that underpin the development of a new, predictive, microscopic model of pedestrian movement with the potential to accurately reflect the complexity of flow dynamics now and into the future. It presents the results and analyses of two single file experiments designed to quantify the physical space taken up by the extent of a person's stepping movement (maximum step extent) and the minimum distance between points of inter-person contact (contact buffer) across a range of walking speeds. The experiments successfully used high-resolution optical motion capture and enhanced video analysis to quantify the dynamic changes in gait and spatial parameters, which were manifested as overlapping steps, and changes to step extent, step length, step frequency, and contact distance. The sum of the step extent and contact buffer, at different speeds, was found to be within a few centimetres of the inter-person distance (headway), leading to the conclusion that these parameters are therefore key components for the derivation of inter-person spacing and, hence, overall crowd movement. The work informs the longer term aim of developing the mathematical model which has the potential to include pedestrian demographics, walking ability and cognitive capabilities.
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- author
- Thompson, Peter ; Tavana, Hossein ; Goulding, Cathy ; Frantzich, Håkan LU ; Boyce, Karen ; Nilsson, Daniel ; Larsson, Gabriel ; Friholm, Jesper and McGrath, Denise
- organization
- publishing date
- 2022-05-01
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Contact buffer, Detailed video analysis, Inter-person distance (headway), Optical motion capture, Pedestrian dynamics model, Step extent
- in
- Physica A: Statistical Mechanics and its Applications
- volume
- 593
- article number
- 126927
- publisher
- Elsevier
- external identifiers
-
- scopus:85124411393
- ISSN
- 0378-4371
- DOI
- 10.1016/j.physa.2022.126927
- language
- English
- LU publication?
- yes
- id
- 097cf3f7-af77-4455-ada7-7608f125519b
- date added to LUP
- 2022-12-28 10:00:03
- date last changed
- 2022-12-28 10:00:03
@article{097cf3f7-af77-4455-ada7-7608f125519b,
abstract = {{<p>This study aims to quantify and develop a deeper understanding of the parameters that underpin the development of a new, predictive, microscopic model of pedestrian movement with the potential to accurately reflect the complexity of flow dynamics now and into the future. It presents the results and analyses of two single file experiments designed to quantify the physical space taken up by the extent of a person's stepping movement (maximum step extent) and the minimum distance between points of inter-person contact (contact buffer) across a range of walking speeds. The experiments successfully used high-resolution optical motion capture and enhanced video analysis to quantify the dynamic changes in gait and spatial parameters, which were manifested as overlapping steps, and changes to step extent, step length, step frequency, and contact distance. The sum of the step extent and contact buffer, at different speeds, was found to be within a few centimetres of the inter-person distance (headway), leading to the conclusion that these parameters are therefore key components for the derivation of inter-person spacing and, hence, overall crowd movement. The work informs the longer term aim of developing the mathematical model which has the potential to include pedestrian demographics, walking ability and cognitive capabilities.</p>}},
author = {{Thompson, Peter and Tavana, Hossein and Goulding, Cathy and Frantzich, Håkan and Boyce, Karen and Nilsson, Daniel and Larsson, Gabriel and Friholm, Jesper and McGrath, Denise}},
issn = {{0378-4371}},
keywords = {{Contact buffer; Detailed video analysis; Inter-person distance (headway); Optical motion capture; Pedestrian dynamics model; Step extent}},
language = {{eng}},
month = {{05}},
publisher = {{Elsevier}},
series = {{Physica A: Statistical Mechanics and its Applications}},
title = {{Experimental analyses of step extent and contact buffer in pedestrian dynamics}},
url = {{http://dx.doi.org/10.1016/j.physa.2022.126927}},
doi = {{10.1016/j.physa.2022.126927}},
volume = {{593}},
year = {{2022}},
}