Montana, L.R. and Maddock, S.C. orcid.org/0000-0003-3179-0263 (2017) Sketching for Real-time Control of Crowd Simulations. In: Wan, T.R. and Vidal , F., (eds.) Computer Graphics & Visual Computing (2017). EG UK Computer Graphics & Visual Computing (2017), 14-15 Sep 2017, Manchester Metropolitan University, United Kingdom. The Eurographics Association ISBN 978-3-03868-050-5
Abstract
Crowd simulations are used in various fields such as entertainment, training systems and city planning. However, controlling the behaviour of the pedestrians typically involves tuning of the system parameters through trial and error, a time-consuming process relying on knowledge of a potentially complex parameter set. This paper presents an interactive graphical approach to control the simulation by sketching in the simulation environment. The user is able to sketch obstacles to block pedestrians and lines to force pedestrians to follow a specific path, as well as define spawn and exit locations for pedestrians. The obstacles and lines modify the underlying navigation representation and pedestrian trajectories are recalculated in real time. The FLAMEGPU framework is used for the simulation and the game engine Unreal is used for visualisation. We demonstrate the effectiveness of the approach using a range of scenarios, producing interactive editing and frame rates for tens of thousands of pedestrians. A comparison with the commercial software MassMotion is also given.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Editors: |
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Copyright, Publisher and Additional Information: | © 2017 The Author(s). © Eurographics Proceedings. © 2017 The Eurographics Association. |
Keywords: | [Computer Graphics]: Methodology and Techniques—Interaction Techniques; [Computer Graphics]: Three-Dimensional Graphics and Realism—Animation; [Simulation and Modeling]: Types of Simulation—Visual; [Information interfaces and presentation]: User interfaces—Graphical user interface(GUI) |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 01 Aug 2017 08:50 |
Last Modified: | 19 Sep 2017 09:16 |
Published Version: | https://diglib.eg.org/handle/10.2312/cgvc20171282 |
Status: | Published |
Publisher: | The Eurographics Association |
Refereed: | Yes |
Identification Number: | 10.2312/cgvc.20171282 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:119668 |