Two-Dimensional Approximate Godunov Scheme and What It Means For Continuum Pedestrian Flow Models
Femke van Wageningen-Kessels (),
Winnie Daamen () and
Serge P. Hoogendoorn ()
Additional contact information
Femke van Wageningen-Kessels: Department of Transport and Planning, Delft University of Technology, 2628 CD Delft, Netherlands; German University of Technology in Oman, Halban, Muscat, Sultinate of Oman
Winnie Daamen: Department of Transport and Planning, Delft University of Technology, 2628 CD Delft, Netherlands
Serge P. Hoogendoorn: Department of Transport and Planning, Delft University of Technology, 2628 CD Delft, Netherlands
Transportation Science, 2018, vol. 52, issue 3, 547-563
Abstract:
An efficient simulation method for two-dimensional continuum pedestrian flow models is introduced. It is a two-dimensional adaptation of the Godunov scheme for one-dimensional road traffic flow models. It is further extended to include multiple classes, representing groups of pedestrians with different behavior, origin, and destination. The method can be applied to continuum pedestrian flow models in a wide range of applications from the design of train stations and other travel hubs to the study of crowd behavior and safety at sports, religious, and cultural events. The combination of the efficient simulation method with continuum models enables the user to get simulation results much quicker than before. This opens doors to real-time crowd control and to more advanced optimization of planning and control. Test results show the importance of choosing appropriate numerical settings, including grid cell and time step size for realistic simulation results.
Keywords: crowd simulation; Godunov scheme; self-organization (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://doi.org/10.1287/trsc.2017.0793 (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:inm:ortrsc:v:52:y:2018:i:3:p:547-563
Access Statistics for this article
More articles in Transportation Science from INFORMS Contact information at EDIRC.
Bibliographic data for series maintained by Chris Asher ().