Pico-Scale Science for Pedestrian-Scale Solutions (PSS4PSS): A Computational Toolbox Leveraging Molecular Simulation for Pedestrian Dynamics
Name
3671127.3698181.pdf
Size
963.7 KB
Format
Adobe PDF
Checksum (MD5)
d2716da61bced37c9b08c5a4d87db745
Author(s)
Chen, Samuel
Collins, Emerson
Cheng, Vincent
Kramer, Kelby
Wang, Gerald
Date Issued
October 29, 2024
Publisher
ACM|The 11th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation
Citation
Chen, Samuel, Collins, Emerson, Cheng, Vincent, Kramer, Kelby and Wang, Gerald. 2024. "Pico-Scale Science for Pedestrian-Scale Solutions (PSS4PSS): A Computational Toolbox Leveraging Molecular Simulation for Pedestrian Dynamics."
Version
Final published version
Abstract
Efficient and accurate simulations of pedestrian dynamics are critical for the smart cities of the future. In this work, we present a computational toolbox that accelerates such simulations relative to a popularly used pedestrian simulation tool by leveraging computational frameworks initially developed for molecular simulation. We make the argument that the field of pedestrian dynamics could benefit to a significant extent from a serendipitous interdisciplinary synergy with the molecular-simulation community. We provide arguments and representative examples in support of this premise, demonstrating that molecular simulation tools can be repurposed to solve precisely the same governing equations as traditional pedestrian-dynamics simulation tools, yielding the same results in significantly reduced computational time. We also describe a computational tool that we have developed that streamlines the conversion of indoor maps into boundary conditions for pedestrian simulations.
Description
Buildsys ’24, November 7–8, 2024, Hangzhou, China
Terms of Use
Creative Commons Attribution
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1145/3671127.3698181
