Unidirectional pedestrian flow in a corridor involving individuals with disabilities: a modified floor field modelling approach

2021 ◽  
Vol 2021 (7) ◽  
pp. 073402
Author(s):  
Libi Fu ◽  
Yuxing Liu ◽  
Yongqian Shi ◽  
Yongxiang Zhao
Keyword(s):  
Pedestrian Flow ◽  
Individuals With Disabilities ◽  
Field Modelling ◽  
Floor Field ◽  
Modelling Approach

scholarly journals Proof of concept study to develop a novel connectivity-based electric-field modelling approach for individualized targeting of transcranial magnetic stimulation treatment

2021 ◽  
Author(s):  
Nicholas L. Balderston ◽  
Joanne C. Beer ◽  
Darsol Seok ◽  
Walid Makhoul ◽  
Zhi-De Deng ◽  
...  
Keyword(s):  
Transcranial Magnetic Stimulation ◽  
Electric Field ◽  
Magnetic Stimulation ◽  
Depression Symptoms ◽  
Single Subject ◽  
Proof Of Concept ◽  
Concept Study ◽  
Field Modelling ◽  
Left Dlpfc ◽  
Modelling Approach

AbstractResting state functional connectivity (rsFC) offers promise for individualizing stimulation targets for transcranial magnetic stimulation (TMS) treatments. However, current targeting approaches do not account for non-focal TMS effects or large-scale connectivity patterns. To overcome these limitations, we propose a novel targeting optimization approach that combines whole-brain rsFC and electric-field (e-field) modelling to identify single-subject, symptom-specific TMS targets. In this proof of concept study, we recruited 91 anxious misery (AM) patients and 25 controls. We measured depression symptoms (MADRS/HAMD) and recorded rsFC. We used a PCA regression to predict symptoms from rsFC and estimate the parameter vector, for input into our e-field augmented model. We modeled 17 left dlPFC and 7 M1 sites using 24 equally spaced coil orientations. We computed single-subject predicted ΔMADRS/HAMD scores for each site/orientation using the e-field augmented model, which comprises a linear combination of the following elementwise products (1) the estimated connectivity/symptom coefficients, (2) a vectorized e-field model for site/orientation, (3) rsFC matrix, scaled by a proportionality constant. In AM patients, our connectivity-based model predicted a significant decrease depression for sites near BA9, but not M1 for coil orientations perpendicular to the cortical gyrus. In control subjects, no site/orientation combination showed a significant predicted change. These results corroborate previous work suggesting the efficacy of left dlPFC stimulation for depression treatment, and predict better outcomes with individualized targeting. They also suggest that our novel connectivity-based e-field modelling approach may effectively identify potential TMS treatment responders and individualize TMS targeting to maximize the therapeutic impact.

SIMULATION OF PEDESTRIAN DYNAMIC USING A VECTOR FLOOR FIELD MODEL

2013 ◽  
Vol 24 (04) ◽  
pp. 1350023 ◽  
Author(s):  
JUN YANG ◽  
ZHONGSHENG HOU ◽  
MINGHUI ZHAN
Keyword(s):  
Field Model ◽  
Computational Cost ◽  
Quantitative Comparison ◽  
Acceptable Level ◽  
Pedestrian Flow ◽  
Pedestrian Movement ◽  
Main Challenge ◽  
Pedestrian Traffic ◽  
Lane Formation ◽  
Floor Field

Simulation of complex scenarios and multi-direction pedestrian flow is a main challenge to microscopic model of pedestrian movement. It is an issue to simulate real pedestrian traffic with great fidelity while keeping its computational cost at an acceptable level. This paper reports on an improved floor field model called vector floor field model to simulate pedestrian flows in some basic scenarios. In this model, vectorization of static floor field and dynamic floor field are used to indicate preference directions and the pedestrian flow tendency, respectively. Pedestrian transition depends on both their preference directions and tendency. The simulations in some basic scenarios are conducted, quantitative comparison to the record of practical experiments and standard floor field model is given as well, and the results indicate the effectivity of this model. An adjusted static vector floor field is also proposed to simulate pedestrian flow in turning scenario. The vector floor field model is also sufficient to simulate some essential features in pedestrian dynamic, such as lane formation. This model can be widely used in the simulation of multi-direction pedestrian at turning, crossing and other junctions.

scholarly journals A combined molecular dynamics-phase-field modelling approach to fracture

PAMM ◽  
2016 ◽  
Vol 16 (1) ◽  
pp. 139-140
Author(s):  
Sandeep P. Patil ◽  
Yousef Heider ◽  
Carlos Alberto Hernandez Padilla ◽  
Eduardo Cruz-Chú ◽  
Bernd Markert
Keyword(s):  
Molecular Dynamics ◽  
Phase Field ◽  
Field Modelling ◽  
Modelling Approach

OUT FLOW IN A VIRTUAL MTR STATION USING A LOCAL VIEW FLOOR FIELD MODEL

2013 ◽  
Vol 24 (06) ◽  
pp. 1350037 ◽  
Author(s):  
BIAO LENG ◽  
JIANYUAN WANG ◽  
XIAOXI ZHAO ◽  
JUN FANG ◽  
ZHANG XIONG
Keyword(s):  
Detailed Analysis ◽  
Field Model ◽  
Flow Dynamics ◽  
Pedestrian Flow ◽  
Priority List ◽  
Dynamic Priority ◽  
Local View ◽  
Simulation Scenario ◽  
Floor Field

The floor field (FF) model, up until now, has been the most widely used simulation in pedestrian flow dynamics for simple based scenarios. This paper presents an improvement on and upon the local view FF model by simulating pedestrian flow in more complex scenarios with typical goals and obstacles that may block or assist the sight of the pedestrian. In addition this model will also provide a detailed analysis entailing the simulation of multi-goal selections. This involves the visibility information on each cell being set, and a dynamic priority list of goals for every pedestrian being updated as he/she moves. The pedestrians select the convenient goal according to the priority of goals, the distances to the candidate goals and the degree of congestion. To aid in the theory of this and to make a better understanding of reality, a simulation scenario is conducted on a virtual MTR station, where parameter settings are discussed and some regular phenomena helpful to the designers of stations is put forward.

Simulation study of overtaking in pedestrian flow using floor field cellular automaton model

2017 ◽  
Vol 28 (05) ◽  
pp. 1750059 ◽  
Author(s):  
Zhijian Fu ◽  
Liang Xia ◽  
Hongtai Yang ◽  
Xiaobo Liu ◽  
Jian Ma ◽  
...  
Keyword(s):  
Cellular Automaton ◽  
Normal State ◽  
Past Research ◽  
Cellular Automaton Model ◽  
Pedestrian Flow ◽  
Fundamental Diagram ◽  
Tactical Decision ◽  
Floor Field ◽  
Walking Environment ◽  
Moving Path

Properties of pedestrian may change along the moving path, for example, as a result of fatigue or injury, which has never been properly investigated in the past research. The paper attempts to study tactical overtaking in pedestrian flow. That is difficult to be modeled using a microscopic discrete model because of the complexity of the detailed overtaking behavior, and crossing/overlaps of pedestrian routes. Thus, a multi-velocity floor field cellular automaton model explaining the detailed psychical process of overtaking decision was proposed. Pedestrian can be either in normal state or in tactical overtaking state. Without tactical decision, pedestrians in normal state are driven by the floor field. Pedestrians make their tactical overtaking decisions by evaluating the walking environment around the overtaking route (the average velocity and density around the route, visual field of pedestrian) and obstructing conditions (the distance and velocity difference between the overtaking pedestrian and the obstructing pedestrian). The effects of tactical overtaking ratio, free velocity dispersion, and visual range on fundamental diagram, conflict density, and successful overtaking ratio were explored. Besides, the sensitivity analysis of the route factor relative intensity was performed.

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