Modeling and simulation of pedestrian dynamical behavior based on a fuzzy logic approach

doi:10.1016/j.ins.2016.04.018

CASIA OpenIR > 多模态人工智能系统全国重点实验室 > 平行智能技术与系统团队

	Modeling and simulation of pedestrian dynamical behavior based on a fuzzy logic approach
	Zhou, Min1 ; Dong, Hairong 1; Wang, Fei-Yue2,3 ; Wang, Qianling 1; Yang, Xiaoxia 1
发表期刊	INFORMATION SCIENCES
	2016-09-10
卷号	360 期号:0 页码:112-130
文章类型	Article
摘要	This study proposes a fuzzy logic approach to model and simulate pedestrian dynamical behaviors, which takes full advantage of human experience and knowledge and perceptual information obtained from interactions with surrounding environments. First, the radial-based method is adopted to represent the physical space. A pedestrian's visual field, defined as a fan-shaped area with a certain visual distance and visual angle, is divided into five sectors. Then, the motion states of a pedestrian are determined by the integration of recommendations of local obstacle-avoiding behavior, regional path-searching behavior and global goal-seeking behavior with mutable weighting factors at three different scopes. These elementary behaviors and weighting's assignment principle are modeled as fuzzy inference systems with the input information of a pedestrian's perception toward surrounding environments. A pedestrian is guided to avoid the front obstacles and select the lowest negative energy path by local obstacle-avoiding behavior and regional path searching behavior, respectively. The global goal-seeking behavior makes a pedestrian has a tendency of moving in direction of his/her goal regardless of external environments. The magnitudes of weighting factors are adjusted automatically to coordinate three elementary behaviors and resolve potential conflicts. At last, the effectiveness of the proposed model is validated by simulations of crowd evacuation, unidirectional and bidirectional pedestrian flows. The simulation results are analyzed from both qualitative and quantitative aspects, which indicate that the fuzzy logic based pedestrian model can get true reappearance of self-organization phenomena such as 'arching and clogging', 'faster-is-slower effect' and 'lane formation', and the fundamental diagrams are in matching with a large variety of empirical and experimental data. A further study finds that walking habits have negligible influence on the fundamental diagrams of bidirectional pedestrian flow at least for densities of rho < 3p/m(2). (C) 2016 Published by Elsevier Inc.
关键词	Pedestrian Dynamical Behavior Modeling Perceptual Information Fuzzy Logic Model Validation
WOS标题词	Science & Technology ; Technology
DOI	10.1016/j.ins.2016.04.018
关键词[WOS]	ANT COLONY OPTIMIZATION ; JAMMING TRANSITION ; CELLULAR-AUTOMATON ; ROBOT NAVIGATION ; MOBILE ROBOTS ; COUNTER FLOW ; SYSTEMS ; DESIGN ; ENVIRONMENT ; EVACUATION
收录类别	SCI
语种	英语
项目资助者	National Natural Science Foundation of China(61322307 ; 61233001)
WOS研究方向	Computer Science
WOS类目	Computer Science, Information Systems
WOS记录号	WOS:000377835100007
引用统计	被引频次：42[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/12048
专题	多模态人工智能系统全国重点实验室_平行智能技术与系统团队
通讯作者	Dong, Hairong
作者单位	1.Beijing Jiaotong Univ, State Key Lab Rail Traff Control & Safety, Beijing 100044, Peoples R China 2.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 3.Natl Univ Def Technol, Ctr Mil Computat Expt & Parallel Syst Technol, Changsha 410073, Hunan, Peoples R China
推荐引用方式 GB/T 7714	Zhou, Min,Dong, Hairong,Wang, Fei-Yue,et al. Modeling and simulation of pedestrian dynamical behavior based on a fuzzy logic approach[J]. INFORMATION SCIENCES,2016,360(0):112-130.
APA	Zhou, Min,Dong, Hairong,Wang, Fei-Yue,Wang, Qianling,&Yang, Xiaoxia.(2016).Modeling and simulation of pedestrian dynamical behavior based on a fuzzy logic approach.INFORMATION SCIENCES,360(0),112-130.
MLA	Zhou, Min,et al."Modeling and simulation of pedestrian dynamical behavior based on a fuzzy logic approach".INFORMATION SCIENCES 360.0(2016):112-130.

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