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.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 30th International Joint Conference on Artificial Intelligence, IJCAI 2021 |
| Editors | Zhi-Hua Zhou |
| Publisher | International Joint Conferences on Artificial Intelligence |
| Pages | 4965-4969 |
| Number of pages | 5 |
| ISBN (Electronic) | 9780999241196 |
| DOIs | |
| State | Published - 1 Jan 2021 |
| Externally published | Yes |
| Event | 30th International Joint Conference on Artificial Intelligence, IJCAI 2021 - Virtual, Online, Canada Duration: 19 Aug 2021 → 27 Aug 2021 |
Publication series
| Name | IJCAI International Joint Conference on Artificial Intelligence |
|---|---|
| ISSN (Print) | 1045-0823 |
Conference
| Conference | 30th International Joint Conference on Artificial Intelligence, IJCAI 2021 |
|---|---|
| Country/Territory | Canada |
| City | Virtual, Online |
| Period | 19/08/21 → 27/08/21 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 11 Sustainable Cities and Communities
ASJC Scopus subject areas
- Artificial Intelligence
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