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CLC number: TP391.9; U698.2
On-line Access: 2017-09-08
Received: 2016-09-28
Revision Accepted: 2016-11-22
Crosschecked: 2017-08-19
Cited: 0
Clicked: 18205
Simulation model of self-organizing pedestrian movement considering following behavior
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Zhilu Yuan, Hongfei Jia, Mingjun Liao, Linfeng Zhang, Yixiong Feng, Guangdong Tian. Simulation model of self-organizing pedestrian movement considering following behavior[J]. Frontiers of Information Technology & Electronic Engineering, 2017, 18(8): 1142-1150.
@article{title="Simulation model of self-organizing pedestrian movement considering following behavior",
author="Zhilu Yuan, Hongfei Jia, Mingjun Liao, Linfeng Zhang, Yixiong Feng, Guangdong Tian",
journal="Frontiers of Information Technology & Electronic Engineering",
volume="18",
number="8",
pages="1142-1150",
year="2017",
publisher="Zhejiang University Press & Springer",
doi="10.1631/FITEE.1601592"
}
%0 Journal Article
%T Simulation model of self-organizing pedestrian movement considering following behavior
%A Zhilu Yuan
%A Hongfei Jia
%A Mingjun Liao
%A Linfeng Zhang
%A Yixiong Feng
%A Guangdong Tian
%J Frontiers of Information Technology & Electronic Engineering
%V 18
%N 8
%P 1142-1150
%@ 2095-9184
%D 2017
%I Zhejiang University Press & Springer
%DOI 10.1631/FITEE.1601592
TY - JOUR
T1 - Simulation model of self-organizing pedestrian movement considering following behavior
A1 - Zhilu Yuan
A1 - Hongfei Jia
A1 - Mingjun Liao
A1 - Linfeng Zhang
A1 - Yixiong Feng
A1 - Guangdong Tian
J0 - Frontiers of Information Technology & Electronic Engineering
VL - 18
IS - 8
SP - 1142
EP - 1150
%@ 2095-9184
Y1 - 2017
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/FITEE.1601592
Abstract: A new force is introduced in the social force model (SFM) for computing following behavior in pedestrian counterflow, whereby an individual tries to approach others in the same direction to avoid conflicts with pedestrians from the opposite direction. The force, like a kind of gravitation, is modeled based on the movement state and visual field of the pedestrian, and is added to the classical SFM. The modified model is presented to study the impact of following behavior on the process of lane formation, the conflict, the number of lanes formed, and the traffic efficiency in the simulations. Simulation results show that the following behavior has a significant effect on the phenomenon of lane formation and the traffic efficiency.
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