Multi-agent based architecture for virtual reality intelligent simulation system of vehicles

2013 ◽  
Author(s):  
Yue Yu ◽  
A. El Kamel ◽  
Guanghong Gong
Keyword(s):  
Virtual Reality ◽  
Simulation System ◽  
Agent Based ◽  
Multi Agent ◽  
Intelligent Simulation

Study for Intelligent Simulation Framework Structure of Equipment Support System Based ACP-Approach

2013 ◽  
Vol 791-793 ◽  
pp. 1476-1479
Author(s):  
Shou Yu Zhang ◽  
Shi Zhen Guo
Keyword(s):  
Support System ◽  
Simulation System ◽  
Parallel Execution ◽  
Computational Experiments ◽  
Framework Structure ◽  
Simulation Framework ◽  
Simulation Research ◽  
Agent Based ◽  
Intelligent Simulation ◽  
New Framework

Research of wartime equipment support simulation faces complex and great challenges. It is very difficult to describe, design and finish the complex giant equipment support simulation system with the traditional simulation and model methods. Proposing a new framework structure based on ACP (artificial systems and computational experiments and parallel execution) approach to solve the complexity giant simulation of RESS (real world equipment support system). Including agent-based model analysis, computational experiments and decision-making problems and etc and discuss an ESASS (equipment support artificial simulation system) platform framework. The work can provide an actionable guidance to equipment support practice simulation research.

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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