A Decentralised Approach to Intersection Traffic Management

Huan Vu, Samir Aknine, Sarvapali D. Ramchurn

IJCAI 2018 pp. 527-533

doi:10.24963/IJCAI.2018/73 /ijcai/2018/vu2018ijcai-decentralised/

Abstract

Traffic congestion has a significant impact on quality of life and the economy. This paper presents a decentralised traffic management mechanism for intersections using a distributed constraint optimisation approach (DCOP). Our solution outperforms the state of the art solution both for stable traffic conditions (about 60% reduced waiting time) and robustness to unpredictable events.

PDF IJCAI Semantic Scholar

Cite

Text

Vu et al. "A Decentralised Approach to Intersection Traffic Management." International Joint Conference on Artificial Intelligence, 2018. doi:10.24963/IJCAI.2018/73

Markdown

[Vu et al. "A Decentralised Approach to Intersection Traffic Management." International Joint Conference on Artificial Intelligence, 2018.](https://mlanthology.org/ijcai/2018/vu2018ijcai-decentralised/) doi:10.24963/IJCAI.2018/73

BibTeX

@inproceedings{vu2018ijcai-decentralised,
  title     = {{A Decentralised Approach to Intersection Traffic Management}},
  author    = {Vu, Huan and Aknine, Samir and Ramchurn, Sarvapali D.},
  booktitle = {International Joint Conference on Artificial Intelligence},
  year      = {2018},
  pages     = {527-533},
  doi       = {10.24963/IJCAI.2018/73},
  url       = {https://mlanthology.org/ijcai/2018/vu2018ijcai-decentralised/}
}