Modeling Crowd Dynamics in a Multi-Agent Based Evacuation Simulation System

2019 ◽  
Author(s):  
Adrian-Costin Tundrea
Keyword(s):  
Simulation System ◽  
Evacuation Simulation ◽  
Agent Based ◽  
Crowd Dynamics ◽  
Multi Agent

Multi-Agent Based Simulation Model for Rail Transit Evacuation Process

2014 ◽  
Vol 1030-1032 ◽  
pp. 2044-2049
Author(s):  
Can Can Zhao ◽  
Xiao Hong Guo ◽  
Juxihong Julaiti ◽  
Jie Wang
Keyword(s):  
Simulation Model ◽  
Rail Transit ◽  
Evacuation Simulation ◽  
Transit System ◽  
Agent Based ◽  
Agent Model ◽  
Agent Simulation ◽  
Multi Agent ◽  
The Military ◽  
Specific Definition

In order to analyze the evacuation behaviors and optimize evacuation strategies for rail transit system, an evacuation agent centered simulation model was proposed. Firstly, by considering the attributes, status and decision-making behaviors of evacuation personnel, the evacuation agent model was established, and the running principle as well as construction process of multi-agent simulation model was discussed. Then, the specific definition and design for the agent attributes and evacuation behavior protocol were provided. Finally, based on the simulation model proposed, an evacuation simulation platform for the military museum station of Beijing subway line 9 was established by using REPAST and JAVA, several evacuation strategies were tested and optimized.

A Multi Agent Based Simulation Framework for the Study of Transit Passenger’s Route Choice Behavior

2010 ◽  
Vol 108-111 ◽  
pp. 525-529
Author(s):  
Yi Kui Mo ◽  
Xiang Rong Qiao ◽  
Yong Yun Su
Keyword(s):  
Choice Behavior ◽  
Route Choice ◽  
Simulation System ◽  
Simulation Software ◽  
Massachusetts Institute Of Technology ◽  
Agent Based Simulation ◽  
Agent Based ◽  
Route Choice Behavior ◽  
Multi Agent ◽  
Institute Of Technology

In light of the characteristics of transit passenger’s route choice behavior, this paper introduces a multi-agent based simulation approach into the study of this behavior.At first, the paper analyzes factors affecting transit passenger’s route choice behavior and then studies the rules of behavior for transit passengers when making route choices. The paper further proposes a utility function for selected routes and examines ways to investigate and analyze corresponding data so as to provide a basis for the modeling of passenger agent’s route choice behavior. Following this, the paper builds up a simulation system for transit passenger’s route choice behavior based on the multi-agent simulation software Starlogo developed by Massachusetts Institute of Technology (MIT), and explains the process that will actually take place when using the simulation system. Finally, inadequacies of the study are analyzed and the focus of further research is indicated.

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