Validation of an agent-based microscopic pedestrian simulation model in a crowded pedestrian walking environment

2018 ◽  
Vol 42 (1) ◽  
pp. 1-22 ◽  
Author(s):  
Mohamed Hussein ◽  
Tarek Sayed
Keyword(s):  
Simulation Model ◽  
Agent Based ◽  
Walking Environment ◽  
Pedestrian Simulation

Validation of an Agent-based Microscopic Pedestrian Simulation Model at the Pedestrian Walkway of Brooklyn Bridge

2018 ◽  
Vol 2672 (35) ◽  
pp. 33-45 ◽  
Author(s):  
Mohamed Hussein ◽  
Tarek Sayed
Keyword(s):  
Simulation Model ◽  
High Accuracy ◽  
Video Data ◽  
Model Parameters ◽  
Actual Behavior ◽  
Agent Based ◽  
Optimum Model ◽  
Using Data ◽  
Brooklyn Bridge ◽  
Pedestrian Simulation

The objective of this study is to validate a recently developed agent-based pedestrian simulation model, using data collected at the pedestrian walkway of Brooklyn Bridge. Video data were collected at the walkway and the trajectories of 294 pedestrians were extracted using computer vision. A genetic algorithm was applied to identify the optimum model parameters that minimize the error between the simulated and the actual trajectories of the calibration dataset. The simulation model was then applied to reproduce the trajectories of 214 pedestrians, considered for validation. The validation results showed that the model was capable of producing pedestrian trajectories with high accuracy, as the average location error between actual and simulated trajectories was for 0.32 m, while the average speed error was 0.06 m/s. Macroscopic results of the model were assessed by comparing the density–speed relationship in both actual data and the simulation. Finally, the accuracy of the model in reproducing the actual behavior of pedestrians during different interactions was evaluated. Results showed that the model was capable of handling these interactions with high accuracy, ranged between 79% and 100%.

Simulation research on pedestrian counter flow subconscious behavior

2017 ◽  
Vol 28 (02) ◽  
pp. 1750025 ◽  
Author(s):  
Yongxing Li ◽  
Hongfei Jia ◽  
Ya-Nan Zhou ◽  
Lili Yang
Keyword(s):  
Simulation Model ◽  
Lattice Gas ◽  
Simulation Models ◽  
Flow Ratio ◽  
Pedestrian Flow ◽  
Counter Flow ◽  
Simulation Research ◽  
Behavior Simulation ◽  
Walking Environment ◽  
Pedestrian Simulation

Analyzing the pedestrian subconscious behavior and walking environment in the passage, right-moving preference subconscious strength and overtaking subconscious strength are introduced into the pedestrian simulation model which is based on lattice gas model. Two pedestrian subconscious behavior simulation models, which are distinguished by whether considering pedestrian flow ratio of two directions or not, are established respectively. With the platform of MATLAB software, the simulations of pedestrian counter flow subconscious behavior are realized. The simulations indicate that compared with the pedestrian subconscious behavior simulation model without considering the pedestrian flow ratio of two directions, the model that considers the pedestrian flow ratio of two directions is better in simulating the pedestrian subconscious behavior.

scholarly journals An agent-based simulation model of human-robot team performance in military environments

2012 ◽  
Vol 16 (1) ◽  
pp. 15-28 ◽  
Author(s):  
Ronald E. Giachetti ◽  
Veronica Marcelli ◽  
José Cifuentes ◽  
José A. Rojas
Keyword(s):  
Simulation Model ◽  
Team Performance ◽  
Agent Based Simulation ◽  
Agent Based

Simulation Model of Crowd Evacuation Navigation in a Multi-Obstacle Environment

2020 ◽  
pp. 036119812097126
Author(s):  
Zhongrui Ni ◽  
Zhen Liu ◽  
Tingting Liu ◽  
Yanjie Chai ◽  
Cuijuan Liu
Keyword(s):  
Simulation Model ◽  
Simulation Experiment ◽  
Control Algorithms ◽  
Prototype System ◽  
Evacuation Simulation ◽  
Agent Based ◽  
Crowd Management ◽  
Navigation Simulation ◽  
Local Navigation ◽  
Crowd Evacuation

The simulation of a crowd evacuating public buildings can be an important reference in planning the layout of buildings and formulating evacuation strategies. This paper proposes an agent-based crowd model; a crowd evacuation navigation simulation model is proposed for the multi-obstacle environment. We introduce the concept of navigation factor to describe the proximity of the navigation point to the exit. An algorithm for creating navigation points in multi-obstacle environment is proposed along with the global navigation and local navigation control algorithms of the crowd. We construct a crowd evacuation simulation prototype system with different simulation scenes using the scene editor. We conduct the crowd evacuation simulation experiment in the multi-obstacle scene, recording and analyzing the relevant experimental data. The simulation prototype system can be used to derive the evacuation time of the crowd and analyze the evacuation behavior of the crowd. It is expected to provide a visual deduction method for crowd management in an evacuation emergency.

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