Full Text:   <1794>

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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: 4031

Citations:  Bibtex RefMan EndNote GB/T7714


Zhilu Yuan


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Frontiers of Information Technology & Electronic Engineering  2017 Vol.18 No.8 P.1142-1150


Simulation model of self-organizing pedestrian movement considering following behavior

Author(s):  Zhilu Yuan, Hongfei Jia, Mingjun Liao, Linfeng Zhang, Yixiong Feng, Guangdong Tian

Affiliation(s):  School of Transportation, Jilin University, Changchun 130012, China; more

Corresponding email(s):   jiahf@jlu.edu.cn, tiangd2013@163.com

Key Words:  Gravitation, Pedestrian counterflow, Social force model (SFM), Lane formation, Self-organizing

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.

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publisher="Zhejiang University Press & Springer",

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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
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SP - 1142
EP - 1150
%@ 1869-1951
Y1 - 2017
PB - Zhejiang University Press & Springer
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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.




Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article


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