A Testbed for Studying COVID-19 Spreading in Ride-Sharing Systems
Abstract
Order dispatch is an important area where artificial intelligence (AI) can benefit ride-sharing systems (e.g., Grab, Uber), which has become an integral part of our public transport network. In this paper, we present a multi-agent testbed to study the spread of infectious diseases through such a system. It allows users to vary the parameters of the disease and behaviours to study the interaction effect between technology, disease and people's behaviours in such a complex environment.
Cite
Text
Wong et al. "A Testbed for Studying COVID-19 Spreading in Ride-Sharing Systems." International Joint Conference on Artificial Intelligence, 2020. doi:10.24963/IJCAI.2020/774Markdown
[Wong et al. "A Testbed for Studying COVID-19 Spreading in Ride-Sharing Systems." International Joint Conference on Artificial Intelligence, 2020.](https://mlanthology.org/ijcai/2020/wong2020ijcai-testbed/) doi:10.24963/IJCAI.2020/774BibTeX
@inproceedings{wong2020ijcai-testbed,
title = {{A Testbed for Studying COVID-19 Spreading in Ride-Sharing Systems}},
author = {Wong, Harrison Jun Yong and Deng, Zichao and Yu, Han and Huang, Jianqiang and Leung, Cyril and Miao, Chunyan},
booktitle = {International Joint Conference on Artificial Intelligence},
year = {2020},
pages = {5294-5296},
doi = {10.24963/IJCAI.2020/774},
url = {https://mlanthology.org/ijcai/2020/wong2020ijcai-testbed/}
}