Fundamental diagrams for pedestrian traffic flow in controlled experiments
Peng Wang,
Shuchao Cao and
Ming Yao
Physica A: Statistical Mechanics and its Applications, 2019, vol. 525, issue C, 266-277
Abstract:
Heavy casualties in stampede accidents in recent years have brought new challenge to crowd management and public safety as well. Therefore, a series of controlled experiments were conducted to investigate traffic dynamics of pedestrians in this paper. The fundamental diagrams for unidirectional flow, bidirectional counter flow, bidirectional cross flow and four-directional cross flow are surveyed by using the improved Voronoi diagram measurement method. The maximum specific flow and the optimal density are obtained from the density–flow relation. Furthermore, difference of fundamental diagrams for different pedestrian flows is also discussed. Evolution of individual density and individual velocity in the Voronoi cell is explored and the dangerous area for pedestrians is identified. Movement efficiency under different densities is investigated when passing through the intersection. The study is helpful to develop a modular approach that serves as a basis for the planning and evaluation of large scale public events.
Keywords: Pedestrian traffic; Fundamental diagram; Crowd dynamics; Experiment analysis (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378437119302924
Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000
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:eee:phsmap:v:525:y:2019:i:c:p:266-277
DOI: 10.1016/j.physa.2019.03.057
Access Statistics for this article
Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis
More articles in Physica A: Statistical Mechanics and its Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().