An extended mobile lattice gas model allowing pedestrian step size variable

Shang, Hongyan; Huang, Hai; Zhang, Yiming

doi:10.1016/j.physa.2015.01.006

Cited by 34 publications

(16 citation statements)

References 24 publications

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“…The family of microscopic models includes Cellular Automata [ 11 , 12 ], social force model [ 13 – 15 ], velocity-based model [ 16 , 17 ], discrete choice model [ 18 ] and lattice gas model [ 19 , 20 ]. To our knowledge, Cellular Automata model and social force model are popular models for pedestrian dynamics because they are able to describe most of the self-organization phenomena of large crowd.…”

Section: Introductionmentioning

confidence: 99%

A microscopic simulation model for pedestrian-pedestrian and pedestrian-vehicle interactions at crosswalks

et al. 2017

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This study aims to develop a microscopic pedestrian behavior model considering various interactions on pedestrian dynamics at crosswalks. Particularly, we take into account the evasion behavior with counter-flow pedestrians, the following behavior with leader pedestrians, and the collision avoidance behavior with vehicles. Aerial video data at one intersection in Beijing, China are extracted for model calibration. A microscopic calibration approach based on maximum likelihood estimation is applied to estimate the parameters of a modified social force model. Finally, we validate step-wise speed, step-wise acceleration, step-wise direction change, crossing time and lane formation phenomenon by comparing the real data and simulation outputs.

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Section: Introductionmentioning

confidence: 99%

A microscopic simulation model for pedestrian-pedestrian and pedestrian-vehicle interactions at crosswalks

et al. 2017

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“…Simulations on crowds have gained tremendous attentions in recent years. There exist some models that are widely used to describe pedestrian behavior, for example, rule-based flocking systems [11], social forces model [12], lattice gas model [13], [14], cellular automaton model [15], and floor field model [16]. Physical property is an important factor that can not be ignored in crowd simulation.…”

Section: Related Workmentioning

confidence: 99%

Modeling Group Structures With Emotion in Crowd Evacuation

Mao

Fan

et al. 2019

IEEE Access

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Simulation on crowd evacuation has attracted plenty of attention in the past few years. Emotion plays a significant role in human decision making processes and on the behaviors during the evacuation. Moreover, grouping is a common phenomenon in crowds, and there are a lot of roles included in a group. In this paper, we present a unified framework to model the structure aspect of the groups with emotion for a crowd suffering fires and explosions in public areas. The proposed evacuation framework consists of two components: (1) an emotion model for various roles in the case of an emergency. Emotional changing is a complex process where different roles are influenced by different factors. (2) Both intra-group structure and inter-group relationship are considered to simulate the herd phenomenon in emergency. The structure and behaviors of a group are related to the emotions of different roles. A follower can decide whether to leave the group or not according to the emotion of the group leader and the one of his own, thus the members of the group may always dynamically change. Simulation results show that the developed framework can practically model the emotion changing and different group structures of evacuation crowds.

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“…In 1970s, Henderson compared measurements of pedestrian flows with Navier-Stokes equations and achieved considerable success. 17 There are several wellknown models in the pedestrian evacuation, which are mainly divided into two categories: microscopic level 18,19 and macroscopic level. 17,20 The microscopic models, such as lattice gas (LG) model, 18,19,21,22 cellular automaton (CA) model, 23,24 social force model, [25][26][27] and agent-based model, 28 etc deal with the movement and interactions of the individual pedestrians.…”

Section: Related Workmentioning

confidence: 99%

“…In 1970s, Henderson compared measurements of pedestrian flows with Navier–Stokes equations and achieved considerable success. 17 There are several well-known models in the pedestrian evacuation, which are mainly divided into two categories: microscopic level 18,19 and macroscopic level. 17,20…”

Section: Introductionmentioning

confidence: 99%

Robot-assisted pedestrian flow control of a controlled pedestrian corridor

Shan

Chang

et al. 2018

International Journal of Advanced Robotic Systems

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Pedestrian evacuation and modification of traffic facilities were previously studied to increase the traffic efficiency and the safety of pedestrians. In this article, we first design a new robot-assisted pedestrian control scheme. We consider a different scenario that the inflow of all the entrances to the corridor can be controlled by mobile robots. Based on the collected image data of the experimental corridor, we obtain the regulated pedestrian velocity and build the relationship function between the adjustable motion frequency of the robot and the regulated pedestrian velocity. To achieve the optimal traffic flow in the designed scenario, we set up the macroscopic pedestrian model for the modified unidirectional pedestrian corridor with several controlled entrances. The pedestrian inflow of each entrance is controlled by adjusting the motion frequency of the robot moving in a transverse direction. Then the state feedback controller is designed and the stability of the controller is analyzed based on the Lyapunov stability theory. The theoretical analysis guides the movement of robots. Finally, the simulation results demonstrate the efficiency of the controlled pedestrian system. Our study can flexibly manage the pedestrian flow by applying advanced robotics technology on macro level, which can provide ideal global control effect.

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An extended mobile lattice gas model allowing pedestrian step size variable

Cited by 34 publications

References 24 publications

A microscopic simulation model for pedestrian-pedestrian and pedestrian-vehicle interactions at crosswalks

A microscopic simulation model for pedestrian-pedestrian and pedestrian-vehicle interactions at crosswalks

Modeling Group Structures With Emotion in Crowd Evacuation

Robot-assisted pedestrian flow control of a controlled pedestrian corridor

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