Alleviating Road Traffic Congestion with Artificial Intelligence
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence. Early Career. Pages 4965-4969.
https://doi.org/10.24963/ijcai.2021/704
Keywords
- Machine Learning Applications: Applications of Reinforcement Learning
- Agent-based and Multi-agent Systems: Coordination and Cooperation
- Multidisciplinary Topics and Applications: Computational Sustainability
- Multidisciplinary Topics and Applications: Transportation
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.
@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 = {Prof. 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},
}
TY - CPAPER TI - Alleviating Road Traffic Congestion with Artificial Intelligence AU - Sharon, Guni T2 - Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21 PB - International Joint Conferences on Artificial Intelligence Organization PY - 2021 SP - 4965 EP - 4969 DO - 10.24963/ijcai.2021/704 UR - https://doi.org/10.24963/ijcai.2021/704 ER -Copied
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