IJCAI 2020poster0 citations

A Testbed for Studying COVID-19 Spreading in Ride-Sharing Systems

Harrison Jun Yong Wong, Zichao Deng, Han Yu, Jianqiang Huang, Cyril Leung, Chunyan Miao

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.

Human-Computer Interactive Systems: generalMulti-agent Systems: general
BibTeX
@inproceedings{ijcai2020p774,
  title     = {A Testbed for Studying COVID-19 Spreading in Ride-Sharing Systems},
  author    = {Yong Wong, Harrison Jun and Deng, Zichao and Yu, Han and Huang, Jianqiang and Leung, Cyril and Miao, Chunyan},
  booktitle = {Proceedings of the Twenty-Ninth International Joint Conference on
               Artificial Intelligence, {IJCAI-20}},
  publisher = {International Joint Conferences on Artificial Intelligence Organization},
  editor    = {Christian Bessiere},
  pages     = {5294--5296},
  year      = {2020},
  month     = {7},
  note      = {Demos},
  doi       = {10.24963/ijcai.2020/774},
  url       = {https://doi.org/10.24963/ijcai.2020/774},
}
A Testbed for Studying COVID-19 Spreading in Ride-Sharing Systems · IJCAI 2020