CLC number: TP391
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 2015-12-30
Cited: 0
Clicked: 8520
Gao-qi He, Yi Jin, Qi Chen, Zhen Liu, Wen-hui Yue, Xing-jian Lu. Shadow obstacle model for realistic corner-turning behavior in crowd simulation[J]. Frontiers of Information Technology & Electronic Engineering, 2016, 17(3): 200-211.
@article{title="Shadow obstacle model for realistic corner-turning behavior in crowd simulation",
author="Gao-qi He, Yi Jin, Qi Chen, Zhen Liu, Wen-hui Yue, Xing-jian Lu",
journal="Frontiers of Information Technology & Electronic Engineering",
volume="17",
number="3",
pages="200-211",
year="2016",
publisher="Zhejiang University Press & Springer",
doi="10.1631/FITEE.1500253"
}
%0 Journal Article
%T Shadow obstacle model for realistic corner-turning behavior in crowd simulation
%A Gao-qi He
%A Yi Jin
%A Qi Chen
%A Zhen Liu
%A Wen-hui Yue
%A Xing-jian Lu
%J Frontiers of Information Technology & Electronic Engineering
%V 17
%N 3
%P 200-211
%@ 2095-9184
%D 2016
%I Zhejiang University Press & Springer
%DOI 10.1631/FITEE.1500253
TY - JOUR
T1 - Shadow obstacle model for realistic corner-turning behavior in crowd simulation
A1 - Gao-qi He
A1 - Yi Jin
A1 - Qi Chen
A1 - Zhen Liu
A1 - Wen-hui Yue
A1 - Xing-jian Lu
J0 - Frontiers of Information Technology & Electronic Engineering
VL - 17
IS - 3
SP - 200
EP - 211
%@ 2095-9184
Y1 - 2016
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/FITEE.1500253
Abstract: This paper describes a novel model known as the shadow obstacle model to generate a realistic corner-turning behavior in crowd simulation. The motivation for this model comes from the observation that people tend to choose a safer route rather than a shorter one when turning a corner. To calculate a safer route, an optimization method is proposed to generate the corner-turning rule that maximizes the viewing range for the agents. By combining psychological and physical forces together, a full crowd simulation framework is established to provide a more realistic crowd simulation. We demonstrate that our model produces a more realistic corner-turning behavior by comparison with real data obtained from the experiments. Finally, we perform parameter analysis to show the believability of our model through a series of experiments.
In this paper the authors present a model for enabling simulated pedestrian to move at the corners of the walls with a realistic trajectory. The proposal model is novel in modeling the corner-turning behaviour. The paper is technically sound which is illustrated by the simulation results and analysis.
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