Use of Agent-Based Crowd Simulation to Investigate the Performance of Large-Scale Intermodal Facilities: Case Study of Union Station in Toronto, Ontario, Canada

2016 ◽  
Vol 2540 (1) ◽  
pp. 20-29 ◽  
Author(s):  
Gregory Hoy ◽  
Erin Morrow ◽  
Amer Shalaby
Keyword(s):  
Large Scale ◽  
Crowd Simulation ◽  
Agent Based

Improving the Efficiency of Large-Scale Agent-Based Models Using Compression Techniques

2012 ◽  
pp. 301-326
Author(s):  
Mitchell Welch ◽  
Paul Kwan ◽  
A.S.M. Sajeev ◽  
Graeme Garner
Keyword(s):  
Large Scale ◽  
Agent Based Models ◽  
Agent Based ◽  
Agent Based Modelling ◽  
Livestock Disease ◽  
Interacting Agents ◽  
National Model ◽  
Complex Phenomena ◽  
Modelling System

Agent-based modelling is becoming a widely used approach for simulating complex phenomena. By making use of emergent behaviour, agent based models can simulate systems right down to the most minute interactions that affect a system’s behaviour. In order to capture the level of detail desired by users, many agent based models now contain hundreds of thousands and even millions of interacting agents. The scale of these models makes them computationally expensive to operate in terms of memory and CPU time, limiting their practicality and use. This chapter details the techniques for applying Dynamic Hierarchical Agent Compression to agent based modelling systems, with the aim of reducing the amount of memory and number of CPU cycles required to manage a set of agents within a model. The scheme outlined extracts the state data stored within a model’s agents and takes advantage of redundancy in this data to reduce the memory required to represent this information. The techniques show how a hierarchical data structure can be used to achieve compression of this data and the techniques for implementing this type of structure within an existing modelling system. The chapter includes a case study that outlines the practical considerations related to the application of this scheme to Australia’s National Model for Emerging Livestock Disease Threats that is currently being developed.

scholarly journals Autonomous Agents in 3D Crowd Simulation Through BDI Architecture

2021 ◽  
Vol 5 (1) ◽  
pp. 1
Author(s):  
Sim Keng Wai ◽  
Cheah WaiShiang ◽  
Muhammad Asyraf Bin Khairuddin ◽  
Yanti Rosmunie Binti Bujang ◽  
Rahmat Hidayat ◽  
...  
Keyword(s):  
Social Sciences ◽  
Autonomous Agents ◽  
Crowd Simulation ◽  
Agent Architecture ◽  
Agent Based ◽  
Interacting Agents ◽  
The Social ◽  
Bush Fire ◽  
Bdi Architecture

Agent based simulation (ABS) is a paradigm to modelling systems included of autonomous and interacting agents. ABS has been tremendous growth and used by researchers in the social sciences to study socio-environmental complex systems. To date, various platforms have been introduced for agent-based social simulation. They are rule based in any logic, python based in SPADE and etc. Although those platforms have been introduced, there is still an insufficient to develop a crowd simulation in 3D platform. Having a 3D platform is needed to enabling the crowd simulation for training purposes. However, the current tools and platform still lack features to develop and simulate autonomous agents in the 3D world. This paper introduced a BDI plug in at Unity3D for crowd simulation. BDI is an intelligent agent architecture and it is able to develop autonomous agents in crowd environment. In this paper, we present the BDI plug with a case study of Australia bush fire and discuss a method to support autonomous agents' development in 3D crowd simulation. The tool allows the modeller to develop autonomous agents in 3D world by taking the advantages of Unity3D.

Large-Scale Agent-Based Models for Transportation Network Management under Unplanned Events

2014 ◽  
pp. 206-231 ◽  
Author(s):  
Yunjie Zhao ◽  
Adel W. Sadek
Keyword(s):  
Large Scale ◽  
Transportation Network ◽  
Simulation System ◽  
Agent Based Modeling ◽  
Lessons Learned ◽  
Future Research ◽  
Agent Based ◽  
Transportation Modeling ◽  
Major Incidents

The focus of this chapter is on issues surrounding the development and applications of large-scale agent-based traffic models. Following a brief overview of Agent-Based Modeling and Simulation (ABMS) applications in transportation modeling, the chapter proceeds to describe the authors’ continued efforts and experiences with the development, calibration, validation, and application of a regional agent-based traffic model of the Buffalo-Niagara metropolitan area. The model is developed using the TRansportation ANalysis SIMulation System (TRANSIMS), an open-source, agent-based suite of transportation models. A unique feature of the chapter is its focus on unplanned or extreme events, such as severe snowstorms and major incidents on the freeways, and how the models may be calibrated and applied under such situations. The chapter concludes by summarizing the main lessons learned from the Buffalo case study and providing suggestions for future research.

Large-Scale Agent-Based Models for Transportation Network Management under Unplanned Events

2015 ◽  
pp. 1316-1341
Author(s):  
Yunjie Zhao ◽  
Adel W. Sadek
Keyword(s):  
Large Scale ◽  
Transportation Network ◽  
Simulation System ◽  
Agent Based Modeling ◽  
Lessons Learned ◽  
Future Research ◽  
Agent Based ◽  
Transportation Modeling ◽  
Major Incidents

The focus of this chapter is on issues surrounding the development and applications of large-scale agent-based traffic models. Following a brief overview of Agent-Based Modeling and Simulation (ABMS) applications in transportation modeling, the chapter proceeds to describe the authors' continued efforts and experiences with the development, calibration, validation, and application of a regional agent-based traffic model of the Buffalo-Niagara metropolitan area. The model is developed using the TRansportation ANalysis SIMulation System (TRANSIMS), an open-source, agent-based suite of transportation models. A unique feature of the chapter is its focus on unplanned or extreme events, such as severe snowstorms and major incidents on the freeways, and how the models may be calibrated and applied under such situations. The chapter concludes by summarizing the main lessons learned from the Buffalo case study and providing suggestions for future research.

A Family With Autosomal-Dominant Progressive Sensorineural Hearing Loss

1996 ◽  
Vol 5 (1) ◽  
pp. 23-32 ◽  
Author(s):  
Chris Halpin ◽  
Barbara Herrmann ◽  
Margaret Whearty
Keyword(s):  
Speech Production ◽  
Hearing Aids ◽  
Role Models ◽  
Speech Intelligibility ◽  
Large Scale ◽  
Speech Language Pathology ◽  
The Family ◽  
Patient Will ◽  
Language Pathology

The family described in this article provides an unusual opportunity to relate findings from genetic, histological, electrophysiological, psychophysical, and rehabilitative investigation. Although the total number evaluated is large (49), the known, living affected population is smaller (14), and these are spread from age 20 to age 59. As a result, the findings described above are those of a large-scale case study. Clearly, more data will be available through longitudinal study of the individuals documented in the course of this investigation but, given the slow nature of the progression in this disease, such studies will be undertaken after an interval of several years. The general picture presented to the audiologist who must rehabilitate these cases is that of a progressive cochlear degeneration that affects only thresholds at first, and then rapidly diminishes speech intelligibility. The expected result is that, after normal language development, the patient may accept hearing aids well, encouraged by the support of the family. Performance and satisfaction with the hearing aids is good, until the onset of the speech intelligibility loss, at which time the patient will encounter serious difficulties and may reject hearing aids as unhelpful. As the histological and electrophysiological results indicate, however, the eighth nerve remains viable, especially in the younger affected members, and success with cochlear implantation may be expected. Audiologic counseling efforts are aided by the presence of role models and support from the other affected members of the family. Speech-language pathology services were not considered important by the members of this family since their speech production developed normally and has remained very good. Self-correction of speech was supported by hearing aids and cochlear implants (Case 5’s speech production was documented in Perkell, Lane, Svirsky, & Webster, 1992). These patients received genetic counseling and, due to the high penetrance of the disease, exhibited serious concerns regarding future generations and the hope of a cure.

The Boeing 787 Dreamliner--A case study in large-scale design integration

2008 ◽  
Author(s):  
D. L. McMullin ◽  
A. R. Jacobsen ◽  
D. C. Carvan ◽  
R. J. Gardner ◽  
J. A. Goegan ◽  
...  
Keyword(s):  
Large Scale ◽  
Design Integration ◽  
Scale Design
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