Full Text:   <2016>

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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: 4549

Citations:  Bibtex RefMan EndNote GB/T7714

 ORCID:

Zhilu Yuan

http://orcid.org/0000-0002-7431-6599

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

10.1631/FITEE.1601592


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.

@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
%@ 1869-1951
%D 2017
%I Zhejiang University Press & Springer

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

考虑跟随行为的行人自组织运动仿真模型

概要:在本文中一种新的力学模型被引入到社会力模型中,用来仿真相向行人流中的跟随行为。这种跟随行为指的是行人通过接近同向行人以避免与反向行人冲突的行为。新的力学模型类似于一种引力模型,在建模过程中考虑了行人的视野范围、自身的运动状态、被跟随行人的运动状态等因素。我们利用新的力学模型对相向行人流进行了仿真,研究了跟随行为对渠化现象、行人间冲突以及双向通道通行效率的影响。仿真结果表明:跟随行为能促进渠化现象形成,并能起到缓解相向行人流拥堵的作用;跟随行为具有降低相向行人流冲突次数的作用,这种作用在入口流量较低时并不明显,但随着行人流量的升高而增强。跟随行为能够提高双向通道的通行效率,并且跟随行为的强度参数越大通道的通行效率越高。

关键词:引力模型;相向行人流;社会力模型;渠化现象;自组织行为

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

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