Paper Info
Title
A Ca-Based Model Of Dyads In Pedestrian Crowds: The Case Of Counter Flow
Abstract
The calibration and validation of pedestrian dynamics simulation require the acquisition of empirical evidences of human behaviour. In this framework, this paper firstly presents the results of an experimental study focused on the negative impact of counter flow and grouping on pedestrian speed. In particular, we focused on two member groups (dyads) as the most frequently observed and basic interacting element of crowds. On the basis of the behavioural effects observed with the experiment, a novel cellular automaton is proposed to represent the different behaviour of individuals and dyads, with particular reference to the group spatial alignment and the dynamic leader-follower structure. This has been demonstrated to modulate the speed of dyads by maintaining the spatial cohesion among the two members. In addition, the model is also able to reproduce the significant impact of flow ratio observed in the experiment results.
Year
DOI
Venue
2016
10.1007/978-3-319-44365-2_35
CELLULAR AUTOMATA, ACRI 2016
Keywords
Field
DocType
Cellular automata, Pedestrian dynamics, Groups, Experiment
Cohesion (chemistry),Cellular automaton,Crowds,Pedestrian,Computer science,Flow (psychology),Theoretical computer science
Conference
Volume
ISSN
Citations 
9863
0302-9743
0
PageRank 
References 
Authors
0.34
3
4
Name
Order
Citations
PageRank
Luca Crociani19220.05
Andrea Gorrini2237.97
Katsuhiro Nishinari318947.27
Stefania Bandini4964191.51