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.
@article{arxiv.2008.11578,
title = {Simulating Crowds and Autonomous Vehicles},
author = {John Charlton and Luis Rene Montana Gonzalez and Steve Maddock and Paul Richmond},
journal= {arXiv preprint arXiv:2008.11578},
year = {2020}
}
Comments
15 pages, 4 figures. arXiv admin note: substantial text overlap with arXiv:1908.10107