IJCAI 2021poster13 citations
Alleviating Road Traffic Congestion with Artificial Intelligence
Abstract
This paper reviews current AI solutions towards road traffic congestion alleviation. Three specific AI technologies are discussed, (1) intersection management protocols for coordinating vehicles through a roads intersection in a safe and efficient manner, (2) road pricing protocol that induce optimized traffic flow, and (3) partial or full autonomous driving that can stabilize traffic flow and mitigate adverse traffic shock waves. The paper briefly presents the challenges affiliated with each of these applications along with an overview of state-of-the-art solutions. Finally, real-world implementation gaps and challenges are discussed.
Multidisciplinary Topics and Applications: TransportationMultidisciplinary Topics and Applications: Computational SustainabilityMachine Learning Applications: Applications of Reinforcement LearningAgent-based and Multi-agent Systems: Coordination and Cooperation
BibTeX
@inproceedings{ijcai2021p704,
title = {Alleviating Road Traffic Congestion with Artificial Intelligence},
author = {Sharon, Guni},
booktitle = {Proceedings of the Thirtieth International Joint Conference on
Artificial Intelligence, {IJCAI-21}},
publisher = {International Joint Conferences on Artificial Intelligence Organization},
editor = {Zhi-Hua Zhou},
pages = {4965--4969},
year = {2021},
month = {8},
note = {Early Career},
doi = {10.24963/ijcai.2021/704},
url = {https://doi.org/10.24963/ijcai.2021/704},
}