Paper Info
Title
On density-flow relationships during crowd evacuation.
Abstract
Traffic and pedestrian dynamics communities often use a standard qualitative classification, namely, level of service (LoS), to describe the relationship between the crowd flow and crowd density in an environment. However, this classification has not yet been rigorously studied in the application of synthetic crowds, which are derived using a variety of approaches and may model certain behaviors better than others. Although synthetic crowds can be simulated to extrapolate crowd flow for rigorous quantitative analysis, these may be at odds with the qualitative LoS. In order to successfully use computer-assisted design, it is important to have sound quantitative metrics as the basis for analysis and optimization. In this paper, we present a systematic empirical analysis of LoS for synthetic crowds. Using established crowd simulation techniques, we quantify the relation between crowd density and crowd flow for evacuation scenarios across different simulators to explore conformity to qualitative LoS classifications. Following this study, we perform environment optimization experiments under various LoS conditions. Finally, we test the generality of optimizing under these LoS conditions. Our results motivate the need for further study, using real and synthetic crowd datasets across representative environment benchmarks.
Year
DOI
Venue
2017
10.1002/cav.1783
COMPUTER ANIMATION AND VIRTUAL WORLDS
Keywords
Field
DocType
architectural optimization,crowd flow,crowd simulation
Crowds,Pedestrian,Level of service,Simulation,Computer science,Flow (psychology),Crowd evacuation,Crowd simulation,Odds,Generality
Journal
Volume
Issue
ISSN
28.0
3-4
1546-4261
Citations 
PageRank 
References 
2
0.37
8
Authors
5
Name
Order
Citations
PageRank
M. Brandon Haworth1217.74
Muhammad Usman231677.54
Glen Berseth315215.35
Mubbasir Kapadia454658.07
Petros Faloutsos53082422.32