Charlton, J. orcid.org/0000-0001-8402-6723, Gonzalez, L.R.M., Maddock, S. et al. (1 more author) (2020) Simulating crowds and autonomous vehicles. In: Gavrilova, M.L., Tan, C.J.K., Chang, J. and Thalmann, N.M., (eds.) Transactions on Computational Science XXXVII : Special Issue on Computer Graphics. Lecture Notes in Computer Science (12230). Springer , pp. 129-143. ISBN 9783662619827
Abstract
Understanding how people view and interact with autonomous vehicles is important to guide future directions of research. One such way of aiding understanding is through simulations of virtual environments involving people and autonomous vehicles. We present a simulation model that incorporates people and autonomous vehicles in a shared urban space. The model is able to simulate many thousands of people and vehicles in real-time. This is achieved by use of GPU hardware, and through a novel linear program solver optimized for large numbers of problems on the GPU. The model is up to 30 times faster than the equivalent multi-core CPU model.
Metadata
Item Type: | Book Section |
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Authors/Creators: |
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Editors: |
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Copyright, Publisher and Additional Information: | © 2020 Springer-Verlag GmbH Germany. |
Keywords: | Pedestrian Simulation; Real-time rendering; GPU-computing; Autonomous vehicles |
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) |
Funding Information: | Funder Grant number Engineering and Physical Science Research Council EP/N018869/1 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 10 Sep 2020 07:05 |
Last Modified: | 10 Sep 2020 07:05 |
Status: | Published |
Publisher: | Springer |
Series Name: | Lecture Notes in Computer Science |
Refereed: | Yes |
Identification Number: | 10.1007/978-3-662-61983-4_8 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:165272 |