Fast simulation of crowd collision avoidance
Real-time large-scale crowd simulations with realistic behavior, are important for many application areas. On CPUs, the ORCA pedestrian steering model is often used for agent-based pedestrian simulations. This paper introduces a technique for running the ORCA pedestrian steering model on the GPU. Pe...
Main Authors: | , , , |
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Other Authors: | , , , , |
Format: | Report |
Language: | English |
Published: |
Springer
2019
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Subjects: | |
Online Access: | https://eprints.whiterose.ac.uk/150111/ https://eprints.whiterose.ac.uk/150111/1/_John_Charlton____ORCA_GPU_Paper.pdf |
Summary: | Real-time large-scale crowd simulations with realistic behavior, are important for many application areas. On CPUs, the ORCA pedestrian steering model is often used for agent-based pedestrian simulations. This paper introduces a technique for running the ORCA pedestrian steering model on the GPU. Performance improvements of up to 30 times greater than a multi-core CPU model are demonstrated. This improvement is achieved through a specialized linear program solver on the GPU and spatial partitioning of information sharing. This allows over 100,000 people to be simulated in real time (60 frames per second). |
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